4. lab_jupyter_clustering-based recommender system.ipynb

{"cells":[{"cell_type":"markdown","id":"65377eac-942a-453f-aeb9-945b125f930c","metadata":{},"source":["<p style=\"text-align:center\">\n","    <a href=\"https://skills.network/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMML321ENSkillsNetwork817-2022-01-01\" target=\"_blank\">\n","    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/assets/logos/SN_web_lightmode.png\" width=\"200\" alt=\"Skills Network Logo\">\n","    </a>\n","</p>\n"]},{"cell_type":"markdown","id":"337f9ff0-d45a-4e0d-9605-c37da4d098d0","metadata":{},"source":["# **Clustering based Course Recommender System**\n"]},{"cell_type":"markdown","id":"4ae333c5-b103-4de3-bff5-b615a105d847","metadata":{},"source":["Estimated time needed: **90** minutes\n"]},{"cell_type":"markdown","id":"76752e90-c7cb-4d5b-ba9e-925ac8c90a72","metadata":{},"source":["Previously, we have generated user profile vectors based on course ratings and genres. \n","\n","A user profile vector may look like a row vector in the following matrix, for example, we can see the Database column for user2 has a value 1 which means user2 is very interesting in courses related to the databases. With the user profile vectors generated, we can also easily compute the similarity among users based on their shared interests.\n"]},{"cell_type":"markdown","id":"aa1e7ef8-b419-4b61-a2b7-fe156297e875","metadata":{},"source":["![](https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-ML321EN-SkillsNetwork/labs/module_3/images/userprofiles.png)\n"]},{"cell_type":"markdown","id":"aa01be52-9bac-4091-868e-23451dbb07cf","metadata":{},"source":["Furthermore, we could perform clustering algorithms such as K-means or DBSCAN to group users with similar learning interests. For example, in the below user clusters, we have user clusters whom have learned courses related to machine learning, cloud computing, databases, and web development, etc.\n"]},{"cell_type":"markdown","id":"eabbfb69-182f-4466-8662-486659f5d11a","metadata":{},"source":["![](https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-ML321EN-SkillsNetwork/labs/module_3/images/userprofiles_clustering.png)\n"]},{"cell_type":"markdown","id":"612302bc-5620-4a68-8156-9d2e1fa97c39","metadata":{},"source":["For each user group, we can come up with a list of popular courses. For example, for the machine learning user cluster/learning group, we can count the most frequently enrolled courses, which are very likely to be the most popular and good machine learning courses because they are enrolled by many users who are interested in machine learning. \n","\n","If we know a user belongs to the machine learning group, we may recommend the most enrolled courses to them and it is very likely the user will be interested in them.\n"]},{"cell_type":"markdown","id":"d98ecda2-1dc8-4dce-8301-ba6da68aca15","metadata":{},"source":["Next in this lab, you will be implementing some clustering-based recommender system algorithms.\n"]},{"cell_type":"markdown","id":"d885be8b-7942-4ba3-b6f3-24753b3a6a21","metadata":{},"source":["## Objectives\n"]},{"cell_type":"markdown","id":"f16187d9-c78c-40b2-bb89-c42da516cb84","metadata":{},"source":["After completing this lab you will be able to:\n"]},{"cell_type":"markdown","id":"165e363e-775e-4e43-ae45-1d9735c97722","metadata":{},"source":["* Perform k-means clustering on the original user profile feature vectors\n","* Apply PCA (Principle Component Analysis ) on user profile feature vectors to reduce dimensions\n","* Perform k-means clustering on the PCA transformed main components\n","* Generate course recommendations based on other group members' enrollment history\n"]},{"cell_type":"markdown","id":"a3fe0e3b-7675-4b28-89a6-03074b964549","metadata":{},"source":["----\n"]},{"cell_type":"markdown","id":"dc7f36b8-e028-4144-8134-6e08c31fc2fc","metadata":{},"source":["## Prepare and setup lab environment\n"]},{"cell_type":"markdown","id":"c645a178-acce-414a-a597-3940ef4457fa","metadata":{},"source":["First install and import required libraries:\n"]},{"cell_type":"code","execution_count":null,"id":"e0f08715-553d-46e6-ae07-11c4b1cf14af","metadata":{},"outputs":[],"source":["%pip install scikit-learn\n","%pip install seaborn\n","%pip install pandas\n","%pip install matplotlib"]},{"cell_type":"code","execution_count":1,"id":"4c27b205-8512-4792-bf2d-e4e3e49f4bba","metadata":{},"outputs":[],"source":["import seaborn as sns\n","import pandas as pd\n","import numpy as np\n","import matplotlib.pyplot as plt\n","\n","from sklearn.cluster import KMeans\n","from sklearn.preprocessing import StandardScaler\n","from sklearn.decomposition import PCA\n","\n","%matplotlib inline"]},{"cell_type":"code","execution_count":2,"id":"d47ae52e-8a48-4ab7-9093-3e4e54037bab","metadata":{},"outputs":[],"source":["# also set a random state\n","rs = 123"]},{"cell_type":"markdown","id":"1ad44e8d-0ca9-4b32-baba-1486e3c03ad8","metadata":{},"source":["### Load the user profile dataset\n"]},{"cell_type":"markdown","id":"5cb3206a-06a3-458a-866d-993615b7b27b","metadata":{},"source":["Let's first load the original user profile feature vectors:\n"]},{"cell_type":"code","execution_count":3,"id":"1c2de8a7-176a-4afb-861e-2cc1eddc7fc5","metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>user</th>\n","      <th>Database</th>\n","      <th>Python</th>\n","      <th>CloudComputing</th>\n","      <th>DataAnalysis</th>\n","      <th>Containers</th>\n","      <th>MachineLearning</th>\n","      <th>ComputerVision</th>\n","      <th>DataScience</th>\n","      <th>BigData</th>\n","      <th>Chatbot</th>\n","      <th>R</th>\n","      <th>BackendDev</th>\n","      <th>FrontendDev</th>\n","      <th>Blockchain</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2</td>\n","      <td>52.0</td>\n","      <td>14.0</td>\n","      <td>6.0</td>\n","      <td>43.0</td>\n","      <td>3.0</td>\n","      <td>33.0</td>\n","      <td>0.0</td>\n","      <td>29.0</td>\n","      <td>41.0</td>\n","      <td>2.0</td>\n","      <td>18.0</td>\n","      <td>34.0</td>\n","      <td>9.0</td>\n","      <td>6.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>4</td>\n","      <td>40.0</td>\n","      <td>2.0</td>\n","      <td>4.0</td>\n","      <td>28.0</td>\n","      <td>0.0</td>\n","      <td>14.0</td>\n","      <td>0.0</td>\n","      <td>20.0</td>\n","      <td>24.0</td>\n","      <td>0.0</td>\n","      <td>6.0</td>\n","      <td>6.0</td>\n","      <td>0.0</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>5</td>\n","      <td>24.0</td>\n","      <td>8.0</td>\n","      <td>18.0</td>\n","      <td>24.0</td>\n","      <td>0.0</td>\n","      <td>30.0</td>\n","      <td>0.0</td>\n","      <td>22.0</td>\n","      <td>14.0</td>\n","      <td>2.0</td>\n","      <td>14.0</td>\n","      <td>26.0</td>\n","      <td>4.0</td>\n","      <td>6.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>7</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>8</td>\n","      <td>6.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>4.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>6.0</td>\n","      <td>0.0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   user  Database  Python  CloudComputing  DataAnalysis  Containers  \\\n","0     2      52.0    14.0             6.0          43.0         3.0   \n","1     4      40.0     2.0             4.0          28.0         0.0   \n","2     5      24.0     8.0            18.0          24.0         0.0   \n","3     7       2.0     0.0             0.0           2.0         0.0   \n","4     8       6.0     0.0             0.0           4.0         0.0   \n","\n","   MachineLearning  ComputerVision  DataScience  BigData  Chatbot     R  \\\n","0             33.0             0.0         29.0     41.0      2.0  18.0   \n","1             14.0             0.0         20.0     24.0      0.0   6.0   \n","2             30.0             0.0         22.0     14.0      2.0  14.0   \n","3              0.0             0.0          0.0      2.0      0.0   0.0   \n","4              0.0             0.0          0.0      6.0      0.0   2.0   \n","\n","   BackendDev  FrontendDev  Blockchain  \n","0        34.0          9.0         6.0  \n","1         6.0          0.0         2.0  \n","2        26.0          4.0         6.0  \n","3         0.0          0.0         0.0  \n","4         0.0          0.0         0.0  "]},"execution_count":3,"metadata":{},"output_type":"execute_result"}],"source":["# Importing the pandas library, which is commonly used for data manipulation and analysis\n","import pandas as pd\n","\n","# Defining the URL of the CSV file containing user profiles\n","user_profile_url = \"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-ML321EN-SkillsNetwork/labs/datasets/user_profile.csv\"\n","\n","# Using pandas' read_csv function to read the CSV file from the specified URL into a DataFrame\n","user_profile_df = pd.read_csv(user_profile_url)\n","\n","# Displaying the first few rows of the DataFrame to inspect its contents\n","user_profile_df.head()\n"]},{"cell_type":"code","execution_count":4,"id":"1eae7845-262b-4b86-92f6-45edf6143636","metadata":{},"outputs":[{"data":{"text/plain":["(33901, 15)"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["user_profile_df.shape"]},{"cell_type":"markdown","id":"4525b0f7-1e33-4188-8949-7ed9ad0cf0a4","metadata":{},"source":["we can then list the feature names, they are the user interested topics (course genres):\n"]},{"cell_type":"code","execution_count":5,"id":"34c9e4a3-58f4-4ecc-bfd6-e39880d550c3","metadata":{},"outputs":[{"data":{"text/plain":["['Database',\n"," 'Python',\n"," 'CloudComputing',\n"," 'DataAnalysis',\n"," 'Containers',\n"," 'MachineLearning',\n"," 'ComputerVision',\n"," 'DataScience',\n"," 'BigData',\n"," 'Chatbot',\n"," 'R',\n"," 'BackendDev',\n"," 'FrontendDev',\n"," 'Blockchain']"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["feature_names = list(user_profile_df.columns[1:])\n","feature_names"]},{"cell_type":"markdown","id":"78a5328c-404b-43a9-a698-d3eaab8155de","metadata":{},"source":["As we can see from the user profile dataset, we have about 33K unique users with interests in areas like ``Database``, ``Python``, ``CloudComputing``, etc. Then, let's check the  summary statistics for each feature.\n"]},{"cell_type":"code","execution_count":6,"id":"040daec0-4c11-4930-8606-f773dc8e7546","metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>user</th>\n","      <th>Database</th>\n","      <th>Python</th>\n","      <th>CloudComputing</th>\n","      <th>DataAnalysis</th>\n","      <th>Containers</th>\n","      <th>MachineLearning</th>\n","      <th>ComputerVision</th>\n","      <th>DataScience</th>\n","      <th>BigData</th>\n","      <th>Chatbot</th>\n","      <th>R</th>\n","      <th>BackendDev</th>\n","      <th>FrontendDev</th>\n","      <th>Blockchain</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>3.390100e+04</td>\n","      <td>33901.000000</td>\n","      <td>33901.000000</td>\n","      <td>33901.000000</td>\n","      <td>33901.000000</td>\n","      <td>33901.000000</td>\n","      <td>33901.000000</td>\n","      <td>33901.000000</td>\n","      <td>33901.000000</td>\n","      <td>33901.000000</td>\n","      <td>33901.000000</td>\n","      <td>33901.000000</td>\n","      <td>33901.000000</td>\n","      <td>33901.000000</td>\n","      <td>33901.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>1.064064e+06</td>\n","      <td>5.518569</td>\n","      <td>3.493791</td>\n","      <td>2.307100</td>\n","      <td>3.624701</td>\n","      <td>0.998938</td>\n","      <td>3.048022</td>\n","      <td>0.001770</td>\n","      <td>5.087343</td>\n","      <td>4.750450</td>\n","      <td>0.462995</td>\n","      <td>1.017433</td>\n","      <td>2.269461</td>\n","      <td>0.315802</td>\n","      <td>0.986844</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>4.972578e+05</td>\n","      <td>7.611941</td>\n","      <td>4.227254</td>\n","      <td>3.841858</td>\n","      <td>4.760135</td>\n","      <td>2.351764</td>\n","      <td>4.624004</td>\n","      <td>0.072846</td>\n","      <td>5.230697</td>\n","      <td>7.216228</td>\n","      <td>1.055186</td>\n","      <td>2.342532</td>\n","      <td>4.310752</td>\n","      <td>1.363462</td>\n","      <td>1.950585</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>2.000000e+00</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>6.813480e+05</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>1.043907e+06</td>\n","      <td>3.000000</td>\n","      <td>3.000000</td>\n","      <td>0.000000</td>\n","      <td>3.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>3.000000</td>\n","      <td>2.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>1.451159e+06</td>\n","      <td>9.000000</td>\n","      <td>6.000000</td>\n","      <td>3.000000</td>\n","      <td>6.000000</td>\n","      <td>0.000000</td>\n","      <td>3.000000</td>\n","      <td>0.000000</td>\n","      <td>9.000000</td>\n","      <td>6.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>3.000000</td>\n","      <td>0.000000</td>\n","      <td>2.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>2.103039e+06</td>\n","      <td>63.000000</td>\n","      <td>18.000000</td>\n","      <td>38.000000</td>\n","      <td>48.000000</td>\n","      <td>15.000000</td>\n","      <td>39.000000</td>\n","      <td>3.000000</td>\n","      <td>32.000000</td>\n","      <td>54.000000</td>\n","      <td>6.000000</td>\n","      <td>18.000000</td>\n","      <td>54.000000</td>\n","      <td>15.000000</td>\n","      <td>12.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["               user      Database        Python  CloudComputing  DataAnalysis  \\\n","count  3.390100e+04  33901.000000  33901.000000    33901.000000  33901.000000   \n","mean   1.064064e+06      5.518569      3.493791        2.307100      3.624701   \n","std    4.972578e+05      7.611941      4.227254        3.841858      4.760135   \n","min    2.000000e+00      0.000000      0.000000        0.000000      0.000000   \n","25%    6.813480e+05      0.000000      0.000000        0.000000      0.000000   \n","50%    1.043907e+06      3.000000      3.000000        0.000000      3.000000   \n","75%    1.451159e+06      9.000000      6.000000        3.000000      6.000000   \n","max    2.103039e+06     63.000000     18.000000       38.000000     48.000000   \n","\n","         Containers  MachineLearning  ComputerVision   DataScience  \\\n","count  33901.000000     33901.000000    33901.000000  33901.000000   \n","mean       0.998938         3.048022        0.001770      5.087343   \n","std        2.351764         4.624004        0.072846      5.230697   \n","min        0.000000         0.000000        0.000000      0.000000   \n","25%        0.000000         0.000000        0.000000      0.000000   \n","50%        0.000000         0.000000        0.000000      3.000000   \n","75%        0.000000         3.000000        0.000000      9.000000   \n","max       15.000000        39.000000        3.000000     32.000000   \n","\n","            BigData       Chatbot             R    BackendDev   FrontendDev  \\\n","count  33901.000000  33901.000000  33901.000000  33901.000000  33901.000000   \n","mean       4.750450      0.462995      1.017433      2.269461      0.315802   \n","std        7.216228      1.055186      2.342532      4.310752      1.363462   \n","min        0.000000      0.000000      0.000000      0.000000      0.000000   \n","25%        0.000000      0.000000      0.000000      0.000000      0.000000   \n","50%        2.000000      0.000000      0.000000      0.000000      0.000000   \n","75%        6.000000      0.000000      0.000000      3.000000      0.000000   \n","max       54.000000      6.000000     18.000000     54.000000     15.000000   \n","\n","         Blockchain  \n","count  33901.000000  \n","mean       0.986844  \n","std        1.950585  \n","min        0.000000  \n","25%        0.000000  \n","50%        0.000000  \n","75%        2.000000  \n","max       12.000000  "]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["user_profile_df.describe()"]},{"cell_type":"markdown","id":"4a4d319f-8e84-4f4e-bef9-a6e4c0630a42","metadata":{},"source":["The original user profile feature vector is not normalized, which may cause issues when we perform clustering and Principal component analysis (PCA), therefor we standardize the data.\n"]},{"cell_type":"code","execution_count":7,"id":"07e07e78-2ca8-43d3-9179-c8f14d0ef05a","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["mean Database          -3.353495e-17\n","Python            -5.700942e-17\n","CloudComputing    -3.521170e-17\n","DataAnalysis      -7.671120e-17\n","Containers         3.353495e-18\n","MachineLearning    3.688845e-17\n","ComputerVision    -1.509073e-17\n","DataScience       -1.676748e-17\n","BigData            6.706990e-17\n","Chatbot           -6.874665e-17\n","R                  4.233788e-17\n","BackendDev         1.383317e-17\n","FrontendDev        5.051202e-17\n","Blockchain        -5.281755e-17\n","dtype: float64 and standard deviationDatabase           1.000015\n","Python             1.000015\n","CloudComputing     1.000015\n","DataAnalysis       1.000015\n","Containers         1.000015\n","MachineLearning    1.000015\n","ComputerVision     1.000015\n","DataScience        1.000015\n","BigData            1.000015\n","Chatbot            1.000015\n","R                  1.000015\n","BackendDev         1.000015\n","FrontendDev        1.000015\n","Blockchain         1.000015\n","dtype: float64 \n"]}],"source":["# Use StandardScaler to make each feature with mean 0, standard deviation 1\n","# Instantiating a StandardScaler object\n","scaler = StandardScaler()\n","\n","# Standardizing the selected features (feature_names) in the user_profile_df DataFrame\n","user_profile_df[feature_names] = scaler.fit_transform(user_profile_df[feature_names])\n","\n","# Printing the mean and standard deviation of the standardized features\n","print(\"mean {} and standard deviation{} \".format(user_profile_df[feature_names].mean(), user_profile_df[feature_names].std()))"]},{"cell_type":"code","execution_count":8,"id":"1895b284-1c51-4be7-9f98-2a325be44fa8","metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>user</th>\n","      <th>Database</th>\n","      <th>Python</th>\n","      <th>CloudComputing</th>\n","      <th>DataAnalysis</th>\n","      <th>Containers</th>\n","      <th>MachineLearning</th>\n","      <th>ComputerVision</th>\n","      <th>DataScience</th>\n","      <th>BigData</th>\n","      <th>Chatbot</th>\n","      <th>R</th>\n","      <th>BackendDev</th>\n","      <th>FrontendDev</th>\n","      <th>Blockchain</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>3.390100e+04</td>\n","      <td>3.390100e+04</td>\n","      <td>3.390100e+04</td>\n","      <td>3.390100e+04</td>\n","      <td>3.390100e+04</td>\n","      <td>3.390100e+04</td>\n","      <td>3.390100e+04</td>\n","      <td>3.390100e+04</td>\n","      <td>3.390100e+04</td>\n","      <td>3.390100e+04</td>\n","      <td>3.390100e+04</td>\n","      <td>3.390100e+04</td>\n","      <td>3.390100e+04</td>\n","      <td>3.390100e+04</td>\n","      <td>3.390100e+04</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>1.064064e+06</td>\n","      <td>-3.353495e-17</td>\n","      <td>-5.700942e-17</td>\n","      <td>-3.521170e-17</td>\n","      <td>-7.671120e-17</td>\n","      <td>3.353495e-18</td>\n","      <td>3.688845e-17</td>\n","      <td>-1.509073e-17</td>\n","      <td>-1.676748e-17</td>\n","      <td>6.706990e-17</td>\n","      <td>-6.874665e-17</td>\n","      <td>4.233788e-17</td>\n","      <td>1.383317e-17</td>\n","      <td>5.051202e-17</td>\n","      <td>-5.281755e-17</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>4.972578e+05</td>\n","      <td>1.000015e+00</td>\n","      <td>1.000015e+00</td>\n","      <td>1.000015e+00</td>\n","      <td>1.000015e+00</td>\n","      <td>1.000015e+00</td>\n","      <td>1.000015e+00</td>\n","      <td>1.000015e+00</td>\n","      <td>1.000015e+00</td>\n","      <td>1.000015e+00</td>\n","      <td>1.000015e+00</td>\n","      <td>1.000015e+00</td>\n","      <td>1.000015e+00</td>\n","      <td>1.000015e+00</td>\n","      <td>1.000015e+00</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>2.000000e+00</td>\n","      <td>-7.249991e-01</td>\n","      <td>-8.265040e-01</td>\n","      <td>-6.005256e-01</td>\n","      <td>-7.614816e-01</td>\n","      <td>-4.247674e-01</td>\n","      <td>-6.591835e-01</td>\n","      <td>-2.429612e-02</td>\n","      <td>-9.726080e-01</td>\n","      <td>-6.583107e-01</td>\n","      <td>-4.387873e-01</td>\n","      <td>-4.343370e-01</td>\n","      <td>-5.264730e-01</td>\n","      <td>-2.316212e-01</td>\n","      <td>-5.059295e-01</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>6.813480e+05</td>\n","      <td>-7.249991e-01</td>\n","      <td>-8.265040e-01</td>\n","      <td>-6.005256e-01</td>\n","      <td>-7.614816e-01</td>\n","      <td>-4.247674e-01</td>\n","      <td>-6.591835e-01</td>\n","      <td>-2.429612e-02</td>\n","      <td>-9.726080e-01</td>\n","      <td>-6.583107e-01</td>\n","      <td>-4.387873e-01</td>\n","      <td>-4.343370e-01</td>\n","      <td>-5.264730e-01</td>\n","      <td>-2.316212e-01</td>\n","      <td>-5.059295e-01</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>1.043907e+06</td>\n","      <td>-3.308757e-01</td>\n","      <td>-1.168130e-01</td>\n","      <td>-6.005256e-01</td>\n","      <td>-1.312380e-01</td>\n","      <td>-4.247674e-01</td>\n","      <td>-6.591835e-01</td>\n","      <td>-2.429612e-02</td>\n","      <td>-3.990622e-01</td>\n","      <td>-3.811535e-01</td>\n","      <td>-4.387873e-01</td>\n","      <td>-4.343370e-01</td>\n","      <td>-5.264730e-01</td>\n","      <td>-2.316212e-01</td>\n","      <td>-5.059295e-01</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>1.451159e+06</td>\n","      <td>4.573712e-01</td>\n","      <td>5.928781e-01</td>\n","      <td>1.803581e-01</td>\n","      <td>4.990056e-01</td>\n","      <td>-4.247674e-01</td>\n","      <td>-1.038556e-02</td>\n","      <td>-2.429612e-02</td>\n","      <td>7.480294e-01</td>\n","      <td>1.731609e-01</td>\n","      <td>-4.387873e-01</td>\n","      <td>-4.343370e-01</td>\n","      <td>1.694715e-01</td>\n","      <td>-2.316212e-01</td>\n","      <td>5.194189e-01</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>2.103039e+06</td>\n","      <td>7.551593e+00</td>\n","      <td>3.431642e+00</td>\n","      <td>9.290667e+00</td>\n","      <td>9.322416e+00</td>\n","      <td>5.953517e+00</td>\n","      <td>7.775190e+00</td>\n","      <td>4.115884e+01</td>\n","      <td>5.145214e+00</td>\n","      <td>6.824934e+00</td>\n","      <td>5.247500e+00</td>\n","      <td>7.249771e+00</td>\n","      <td>1.200053e+01</td>\n","      <td>1.076995e+01</td>\n","      <td>5.646161e+00</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["               user      Database        Python  CloudComputing  DataAnalysis  \\\n","count  3.390100e+04  3.390100e+04  3.390100e+04    3.390100e+04  3.390100e+04   \n","mean   1.064064e+06 -3.353495e-17 -5.700942e-17   -3.521170e-17 -7.671120e-17   \n","std    4.972578e+05  1.000015e+00  1.000015e+00    1.000015e+00  1.000015e+00   \n","min    2.000000e+00 -7.249991e-01 -8.265040e-01   -6.005256e-01 -7.614816e-01   \n","25%    6.813480e+05 -7.249991e-01 -8.265040e-01   -6.005256e-01 -7.614816e-01   \n","50%    1.043907e+06 -3.308757e-01 -1.168130e-01   -6.005256e-01 -1.312380e-01   \n","75%    1.451159e+06  4.573712e-01  5.928781e-01    1.803581e-01  4.990056e-01   \n","max    2.103039e+06  7.551593e+00  3.431642e+00    9.290667e+00  9.322416e+00   \n","\n","         Containers  MachineLearning  ComputerVision   DataScience  \\\n","count  3.390100e+04     3.390100e+04    3.390100e+04  3.390100e+04   \n","mean   3.353495e-18     3.688845e-17   -1.509073e-17 -1.676748e-17   \n","std    1.000015e+00     1.000015e+00    1.000015e+00  1.000015e+00   \n","min   -4.247674e-01    -6.591835e-01   -2.429612e-02 -9.726080e-01   \n","25%   -4.247674e-01    -6.591835e-01   -2.429612e-02 -9.726080e-01   \n","50%   -4.247674e-01    -6.591835e-01   -2.429612e-02 -3.990622e-01   \n","75%   -4.247674e-01    -1.038556e-02   -2.429612e-02  7.480294e-01   \n","max    5.953517e+00     7.775190e+00    4.115884e+01  5.145214e+00   \n","\n","            BigData       Chatbot             R    BackendDev   FrontendDev  \\\n","count  3.390100e+04  3.390100e+04  3.390100e+04  3.390100e+04  3.390100e+04   \n","mean   6.706990e-17 -6.874665e-17  4.233788e-17  1.383317e-17  5.051202e-17   \n","std    1.000015e+00  1.000015e+00  1.000015e+00  1.000015e+00  1.000015e+00   \n","min   -6.583107e-01 -4.387873e-01 -4.343370e-01 -5.264730e-01 -2.316212e-01   \n","25%   -6.583107e-01 -4.387873e-01 -4.343370e-01 -5.264730e-01 -2.316212e-01   \n","50%   -3.811535e-01 -4.387873e-01 -4.343370e-01 -5.264730e-01 -2.316212e-01   \n","75%    1.731609e-01 -4.387873e-01 -4.343370e-01  1.694715e-01 -2.316212e-01   \n","max    6.824934e+00  5.247500e+00  7.249771e+00  1.200053e+01  1.076995e+01   \n","\n","         Blockchain  \n","count  3.390100e+04  \n","mean  -5.281755e-17  \n","std    1.000015e+00  \n","min   -5.059295e-01  \n","25%   -5.059295e-01  \n","50%   -5.059295e-01  \n","75%    5.194189e-01  \n","max    5.646161e+00  "]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["user_profile_df.describe()"]},{"cell_type":"markdown","id":"083fba42-b453-4f68-8eba-46a1223051bd","metadata":{},"source":["The normalized user profile features are: \n"]},{"cell_type":"code","execution_count":9,"id":"4be95f62-6977-44d6-9430-eb7f071f2974","metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Database</th>\n","      <th>Python</th>\n","      <th>CloudComputing</th>\n","      <th>DataAnalysis</th>\n","      <th>Containers</th>\n","      <th>MachineLearning</th>\n","      <th>ComputerVision</th>\n","      <th>DataScience</th>\n","      <th>BigData</th>\n","      <th>Chatbot</th>\n","      <th>R</th>\n","      <th>BackendDev</th>\n","      <th>FrontendDev</th>\n","      <th>Blockchain</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>6.106474</td>\n","      <td>2.485388</td>\n","      <td>0.961242</td>\n","      <td>8.272010</td>\n","      <td>0.850889</td>\n","      <td>6.477594</td>\n","      <td>-0.024296</td>\n","      <td>4.571668</td>\n","      <td>5.023412</td>\n","      <td>1.456642</td>\n","      <td>7.249771</td>\n","      <td>7.360899</td>\n","      <td>6.369323</td>\n","      <td>2.570116</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>4.529980</td>\n","      <td>-0.353377</td>\n","      <td>0.440653</td>\n","      <td>5.120792</td>\n","      <td>-0.424767</td>\n","      <td>2.368540</td>\n","      <td>-0.024296</td>\n","      <td>2.851031</td>\n","      <td>2.667576</td>\n","      <td>-0.438787</td>\n","      <td>2.127032</td>\n","      <td>0.865416</td>\n","      <td>-0.231621</td>\n","      <td>0.519419</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2.427988</td>\n","      <td>1.066006</td>\n","      <td>4.084776</td>\n","      <td>4.280467</td>\n","      <td>-0.424767</td>\n","      <td>5.828796</td>\n","      <td>-0.024296</td>\n","      <td>3.233395</td>\n","      <td>1.281790</td>\n","      <td>1.456642</td>\n","      <td>5.542191</td>\n","      <td>5.505047</td>\n","      <td>2.702132</td>\n","      <td>2.570116</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>-0.462250</td>\n","      <td>-0.826504</td>\n","      <td>-0.600526</td>\n","      <td>-0.341319</td>\n","      <td>-0.424767</td>\n","      <td>-0.659184</td>\n","      <td>-0.024296</td>\n","      <td>-0.972608</td>\n","      <td>-0.381153</td>\n","      <td>-0.438787</td>\n","      <td>-0.434337</td>\n","      <td>-0.526473</td>\n","      <td>-0.231621</td>\n","      <td>-0.505930</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>0.063248</td>\n","      <td>-0.826504</td>\n","      <td>-0.600526</td>\n","      <td>0.078843</td>\n","      <td>-0.424767</td>\n","      <td>-0.659184</td>\n","      <td>-0.024296</td>\n","      <td>-0.972608</td>\n","      <td>0.173161</td>\n","      <td>-0.438787</td>\n","      <td>0.419453</td>\n","      <td>-0.526473</td>\n","      <td>-0.231621</td>\n","      <td>-0.505930</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>33896</th>\n","      <td>-0.330876</td>\n","      <td>-0.116813</td>\n","      <td>0.180358</td>\n","      <td>0.499006</td>\n","      <td>-0.424767</td>\n","      <td>-0.659184</td>\n","      <td>-0.024296</td>\n","      <td>0.174484</td>\n","      <td>-0.658311</td>\n","      <td>-0.438787</td>\n","      <td>2.127032</td>\n","      <td>0.865416</td>\n","      <td>-0.231621</td>\n","      <td>1.032093</td>\n","    </tr>\n","    <tr>\n","      <th>33897</th>\n","      <td>-0.724999</td>\n","      <td>-0.826504</td>\n","      <td>-0.079936</td>\n","      <td>-0.761482</td>\n","      <td>-0.424767</td>\n","      <td>-0.659184</td>\n","      <td>-0.024296</td>\n","      <td>-0.972608</td>\n","      <td>-0.658311</td>\n","      <td>-0.438787</td>\n","      <td>-0.434337</td>\n","      <td>-0.526473</td>\n","      <td>-0.231621</td>\n","      <td>-0.505930</td>\n","    </tr>\n","    <tr>\n","      <th>33898</th>\n","      <td>-0.330876</td>\n","      <td>0.592878</td>\n","      <td>0.961242</td>\n","      <td>-0.761482</td>\n","      <td>-0.424767</td>\n","      <td>2.368540</td>\n","      <td>-0.024296</td>\n","      <td>0.748029</td>\n","      <td>-0.658311</td>\n","      <td>-0.438787</td>\n","      <td>0.846348</td>\n","      <td>-0.526473</td>\n","      <td>-0.231621</td>\n","      <td>-0.505930</td>\n","    </tr>\n","    <tr>\n","      <th>33899</th>\n","      <td>-0.724999</td>\n","      <td>-0.826504</td>\n","      <td>-0.600526</td>\n","      <td>-0.761482</td>\n","      <td>-0.424767</td>\n","      <td>-0.226652</td>\n","      <td>-0.024296</td>\n","      <td>-0.972608</td>\n","      <td>-0.658311</td>\n","      <td>-0.438787</td>\n","      <td>-0.434337</td>\n","      <td>-0.526473</td>\n","      <td>-0.231621</td>\n","      <td>-0.505930</td>\n","    </tr>\n","    <tr>\n","      <th>33900</th>\n","      <td>-0.724999</td>\n","      <td>-0.826504</td>\n","      <td>-0.600526</td>\n","      <td>-0.761482</td>\n","      <td>-0.424767</td>\n","      <td>-0.226652</td>\n","      <td>-0.024296</td>\n","      <td>-0.972608</td>\n","      <td>-0.658311</td>\n","      <td>-0.438787</td>\n","      <td>-0.434337</td>\n","      <td>-0.526473</td>\n","      <td>-0.231621</td>\n","      <td>-0.505930</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>33901 rows × 14 columns</p>\n","</div>"],"text/plain":["       Database    Python  CloudComputing  DataAnalysis  Containers  \\\n","0      6.106474  2.485388        0.961242      8.272010    0.850889   \n","1      4.529980 -0.353377        0.440653      5.120792   -0.424767   \n","2      2.427988  1.066006        4.084776      4.280467   -0.424767   \n","3     -0.462250 -0.826504       -0.600526     -0.341319   -0.424767   \n","4      0.063248 -0.826504       -0.600526      0.078843   -0.424767   \n","...         ...       ...             ...           ...         ...   \n","33896 -0.330876 -0.116813        0.180358      0.499006   -0.424767   \n","33897 -0.724999 -0.826504       -0.079936     -0.761482   -0.424767   \n","33898 -0.330876  0.592878        0.961242     -0.761482   -0.424767   \n","33899 -0.724999 -0.826504       -0.600526     -0.761482   -0.424767   \n","33900 -0.724999 -0.826504       -0.600526     -0.761482   -0.424767   \n","\n","       MachineLearning  ComputerVision  DataScience   BigData   Chatbot  \\\n","0             6.477594       -0.024296     4.571668  5.023412  1.456642   \n","1             2.368540       -0.024296     2.851031  2.667576 -0.438787   \n","2             5.828796       -0.024296     3.233395  1.281790  1.456642   \n","3            -0.659184       -0.024296    -0.972608 -0.381153 -0.438787   \n","4            -0.659184       -0.024296    -0.972608  0.173161 -0.438787   \n","...                ...             ...          ...       ...       ...   \n","33896        -0.659184       -0.024296     0.174484 -0.658311 -0.438787   \n","33897        -0.659184       -0.024296    -0.972608 -0.658311 -0.438787   \n","33898         2.368540       -0.024296     0.748029 -0.658311 -0.438787   \n","33899        -0.226652       -0.024296    -0.972608 -0.658311 -0.438787   \n","33900        -0.226652       -0.024296    -0.972608 -0.658311 -0.438787   \n","\n","              R  BackendDev  FrontendDev  Blockchain  \n","0      7.249771    7.360899     6.369323    2.570116  \n","1      2.127032    0.865416    -0.231621    0.519419  \n","2      5.542191    5.505047     2.702132    2.570116  \n","3     -0.434337   -0.526473    -0.231621   -0.505930  \n","4      0.419453   -0.526473    -0.231621   -0.505930  \n","...         ...         ...          ...         ...  \n","33896  2.127032    0.865416    -0.231621    1.032093  \n","33897 -0.434337   -0.526473    -0.231621   -0.505930  \n","33898  0.846348   -0.526473    -0.231621   -0.505930  \n","33899 -0.434337   -0.526473    -0.231621   -0.505930  \n","33900 -0.434337   -0.526473    -0.231621   -0.505930  \n","\n","[33901 rows x 14 columns]"]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["features = user_profile_df.loc[:, user_profile_df.columns != 'user']\n","features"]},{"cell_type":"markdown","id":"a931952e-173b-473a-924a-16fe062c172f","metadata":{},"source":["we can also save the user ids for later recommendation tasks:\n"]},{"cell_type":"code","execution_count":10,"id":"68583802-af78-47d4-960e-874e4b48294f","metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>user</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>7</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>8</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>33896</th>\n","      <td>2102054</td>\n","    </tr>\n","    <tr>\n","      <th>33897</th>\n","      <td>2102356</td>\n","    </tr>\n","    <tr>\n","      <th>33898</th>\n","      <td>2102680</td>\n","    </tr>\n","    <tr>\n","      <th>33899</th>\n","      <td>2102983</td>\n","    </tr>\n","    <tr>\n","      <th>33900</th>\n","      <td>2103039</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>33901 rows × 1 columns</p>\n","</div>"],"text/plain":["          user\n","0            2\n","1            4\n","2            5\n","3            7\n","4            8\n","...        ...\n","33896  2102054\n","33897  2102356\n","33898  2102680\n","33899  2102983\n","33900  2103039\n","\n","[33901 rows x 1 columns]"]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["user_ids = user_profile_df.loc[:, user_profile_df.columns == 'user']\n","user_ids"]},{"cell_type":"markdown","id":"5474c960-243f-4690-949b-166e007522c8","metadata":{},"source":["### TASK: Perform K-means clustering algorithm on the user profile feature vectors\n"]},{"cell_type":"markdown","id":"1ef715f9-2529-4eb1-a36b-5a7878fa4adf","metadata":{},"source":["With the user profile dataset ready, you need to use the `KMeans` class provided by scikit-learn library to perform clustering on the user profile feature vectors. \n"]},{"cell_type":"markdown","id":"2034d128-7382-4e16-9a58-24108e36f4a6","metadata":{},"source":["For `KMeans` algorithm, one important hyperparameter is the number of clusters `n_cluster`, and a good way to find the optimized `n_cluster` is using to grid search a list of candidates and find the one with the best or optimized clustering evaluation metrics such as minimal `sum of squared distance`:\n"]},{"cell_type":"markdown","id":"face5985-57f5-446c-a096-97c69f026705","metadata":{},"source":["_TODO: grid search the optimized n_cluster for KMeans() model_\n"]},{"cell_type":"code","execution_count":23,"id":"6d8a07a9-e6d7-4864-8664-b9e200c6d28f","metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# WRITE YOUR CODE HERE\n","\n","# Find an optimized number of neighors k from a candidate list such as list_k = list(range(1, 30))\n","\n","# Define a range of candidate values for the number of clusters\n","list_k = list(range(1, 30))\n","\n","# Initialize an empty list to store the sum of squared distances for each model\n","sum_of_squared_distances = []\n","\n","# Perform K-means clustering for each candidate value of k\n","for k in list_k:\n","    kmeans = KMeans(n_clusters=k, random_state=rs)\n","    kmeans.fit(features)\n","    # Append the sum of squared distances to the list\n","    sum_of_squared_distances.append(kmeans.inertia_)\n","\n","# Plot the sum of squared distances against the number of clusters\n","plt.figure(figsize=(10, 6))\n","plt.plot(list_k, sum_of_squared_distances, marker='o')\n","plt.title('Elbow Method For Optimal k')\n","plt.xlabel('Number of clusters (k)')\n","plt.ylabel('Sum of Squared Distances')\n","plt.grid(True)\n","plt.show()\n"]},{"cell_type":"markdown","id":"0709aea8-5b86-4558-aef2-bfa12f658f98","metadata":{},"source":["<details>\n","    <summary>Click here for Hints</summary>\n","    \n","Create a list that will hold the the sum of square distances for each fitted model. For each k in `n_clusters` make a model by calling `KMeans(n_clusters=k, random_state=rs).fit(features)` ans append `model.inertia_` to the list. Plot square distances against the k values.  \n","\n","</details>\n"]},{"cell_type":"markdown","id":"56e26344-9564-44c5-9e16-48b7f55a51ec","metadata":{},"source":["If you plot the grid search process, you may get a elbow plot like the following:\n"]},{"cell_type":"markdown","id":"87062d5c-0e5a-40a9-abb4-576026e15dd0","metadata":{},"source":["![](https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-ML321EN-SkillsNetwork/labs/module_3/images/clusters_elbow.png)\n"]},{"cell_type":"markdown","id":"66fdf1df-4976-46e3-aba5-df7c98a0739f","metadata":{},"source":["From the elbow plot, you should visualy identify the point where the metric starting to be flatten, which indicates the optimized number of clusters.\n"]},{"cell_type":"markdown","id":"90afa6a6-95c9-44e1-a255-7d83d10e32f8","metadata":{},"source":["Once you have identified the best number of clusters, you can apply `KMeans()` again to generate cluster label for all users.\n"]},{"cell_type":"code","execution_count":24,"id":"10f49fc3-bb88-414b-9492-c73af85666f8","metadata":{},"outputs":[],"source":["cluster_labels = [None] * len(user_ids)"]},{"cell_type":"markdown","id":"fe81527f-bded-4e67-bebe-c94130d8be1e","metadata":{},"source":["_TODO: Apply KMeans() on the features with optimized n_cluster parameter after model fitting, you can find output cluster labels in `model.labels_` attribute_\n"]},{"cell_type":"code","execution_count":25,"id":"92658630-92bc-4141-9ab6-823c74696b76","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["cluster\n","4    13608\n","1     9475\n","0     5400\n","3     4149\n","2     1269\n","Name: count, dtype: int64\n"]}],"source":["## WRITE YOUR CODE HERE\n","\n","## ...\n","## cluster_labels = model.labels\n","## ...\n","\n","# Set the optimized number of clusters based on the elbow plot\n","optimal_n_clusters = 5  # Set this to the identified optimal number of clusters\n","\n","# Apply KMeans with the optimized number of clusters\n","kmeans = KMeans(n_clusters=optimal_n_clusters, random_state=rs)\n","kmeans.fit(features)\n","\n","# Get the cluster labels\n","cluster_labels = kmeans.labels_\n","\n","# Assign cluster labels to user ids\n","user_profile_df['cluster'] = cluster_labels\n","\n","# Display the count of users in each cluster\n","print(user_profile_df['cluster'].value_counts())\n"]},{"cell_type":"markdown","id":"724f4ccf-4218-4512-baff-d5f3f17e97ed","metadata":{},"source":["<details>\n","    <summary>Click here for Hints</summary>\n","    \n","Create  a model by calling `KMeans(n_clusters=k, random_state=rs).fit(features)`. Save the labels by accessing `model.labels`.\n","\n","</details>\n"]},{"cell_type":"markdown","id":"53a37ff8-fe72-4af9-8762-15c144be219b","metadata":{},"source":["The cluster labels you generated is a list of integers indicating cluster indices. You may use the following utility method to combine the cluster labels and user ids to a dataframe, so that you know which cluster a user belongs:\n"]},{"cell_type":"code","execution_count":26,"id":"aa18f9e2-45a4-4887-a530-1c5bde90ab89","metadata":{},"outputs":[],"source":["def combine_cluster_labels(user_ids, labels):\n","    # Convert labels to a DataFrame\n","    labels_df = pd.DataFrame(labels)    \n","    # Merge user_ids DataFrame with labels DataFrame based on index\n","    cluster_df = pd.merge(user_ids, labels_df, left_index=True, right_index=True)\n","    # Rename columns to 'user' and 'cluster'\n","    cluster_df.columns = ['user', 'cluster']\n","    return cluster_df"]},{"cell_type":"code","execution_count":30,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["          user  cluster\n","0            2        2\n","1            4        2\n","2            5        2\n","3            7        4\n","4            8        4\n","...        ...      ...\n","33896  2102054        1\n","33897  2102356        4\n","33898  2102680        1\n","33899  2102983        4\n","33900  2103039        4\n","\n","[33901 rows x 2 columns]\n"]}],"source":["# Call the utility method to combine user IDs and cluster labels into a DataFrame\n","cluster_df = combine_cluster_labels(user_ids, cluster_labels)\n","\n","# Display the resulting DataFrame\n","print(cluster_df)"]},{"cell_type":"markdown","id":"0f8721f0-9254-4185-b31d-8556a4ca556e","metadata":{},"source":["Your clustering results may look like the following screenshot:\n"]},{"cell_type":"markdown","id":"5f953ea5-9821-4505-a1aa-dbebdc62ecc2","metadata":{},"source":["![](https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-ML321EN-SkillsNetwork/labs/module_3/images/cluster_labels.png)\n"]},{"cell_type":"markdown","id":"43a52f4b-71fc-4327-8928-57b8b57ab979","metadata":{},"source":["Now, each user finds its own cluster or we can say we have created many clusters of learning communities. Learners within each community share very similar learning interests.\n"]},{"cell_type":"markdown","id":"4a96e265-6c3a-475c-8ffe-176feda2bacb","metadata":{},"source":["### TASK: Apply PCA on user profile feature vectors to reduce dimensions\n"]},{"cell_type":"markdown","id":"b8df1cea-90c1-4082-af16-7ac4f6c6b0ae","metadata":{},"source":["In the previous step, we applied `KMeans` on the original user profile feature vectors which have 14 original features (the course genres).\n"]},{"cell_type":"code","execution_count":31,"id":"196b7be2-39a4-4613-b90d-1177e25c4572","metadata":{},"outputs":[],"source":["# Extracting features from the user_profile_df DataFrame, excluding the 'user' column\n","features = user_profile_df.loc[:, user_profile_df.columns != 'user']\n","\n","# Extracting user IDs from the user_profile_df DataFrame\n","user_ids = user_profile_df.loc[:, user_profile_df.columns == 'user']\n","\n","# Creating a list of feature names by excluding the 'user' column name\n","feature_names = list(user_profile_df.columns[1:])"]},{"cell_type":"code","execution_count":32,"id":"0e85d381-c03c-49e0-8b98-b858e87df210","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["There are 15 features for each user profile.\n"]}],"source":["print(f\"There are {len(feature_names)} features for each user profile.\")"]},{"cell_type":"markdown","id":"08755b51-f4a5-421a-9f08-0f141b1ea77c","metadata":{},"source":["If we plot a covariance matrix of the user profile feature vectors with 14 features, we can observe that some features are actually correlated:\n"]},{"cell_type":"code","execution_count":33,"id":"d4165ed3-b277-4fae-95e6-b14f4787c667","metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1100x900 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["sns.set_theme(style=\"white\")\n","\n","# Compute the correlation matrix\n","corr = features.cov()\n","\n","# Generate a mask for the upper triangle\n","mask = np.triu(np.ones_like(corr, dtype=bool))\n","\n","# Set up the matplotlib figure\n","f, ax = plt.subplots(figsize=(11, 9))\n","\n","# Generate a custom diverging colormap\n","cmap = sns.diverging_palette(230, 20, as_cmap=True)\n","\n","# Draw the heatmap with the mask and correct aspect ratio\n","sns.heatmap(corr, mask=mask, cmap=cmap, vmax=.3, center=0,\n","            square=True, linewidths=.5, cbar_kws={\"shrink\": .5})\n","\n","\n","plt.show()"]},{"cell_type":"markdown","id":"eb3a98f6-862c-4162-b324-f995740ff6ed","metadata":{},"source":["For example, the feature `MachineLearning` and the feature `DataScience` are correlated. Such covariances among features may indicate that we can apply PCA to find its main components (eigenvectors with max eigenvalues on the covariance matrix). \n","\n","If we only keep the independent main components, then we can reduce the dimensions of our user profile feature vectors.\n"]},{"cell_type":"markdown","id":"fa578f05-3693-46ba-99f8-0ef489ae6536","metadata":{},"source":["Now let's apply the `PCA()` provided by  `scikit-learn` to find the main components in user profile feature vectors and see if we can reduce its dimensions by only keeping the main components.\n"]},{"cell_type":"markdown","id":"14fc34a8-7c61-4bc7-a25e-6c316a1d90aa","metadata":{},"source":["Note that when calling the  `PCA()` class, there is also an import argument called `n_components` which indicates how many components you want to keep in the PCA result. One way to find an optimized `n_components` is to do a grid search on a list of argument candidates (such as `range(1, 15)`) and calculate the ratio of the accumulated variance for each candidate. \n","\n","If the accumulated variances ratio of a candidate `n_components` is larger than a threshold, e.g., 90%, then we can say the transformed `n_components` could explain about 90% of variances of the original data variance and can be considered as an optimized components size.\n"]},{"cell_type":"markdown","id":"df76779a-a2a7-4368-b16b-540f11fdc86a","metadata":{},"source":["_TODO: Find the optimized `n_components` for PCA_\n"]},{"cell_type":"code","execution_count":35,"id":"1544a716-a794-4b02-99ab-1f90740765bb","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Optimized n_components: 9\n"]}],"source":["# WRITE YOUR CODE HERE\n","\n","# - For a list of candidate `n_components` arguments such as 1 to 14, find out the minimal `n` that can explain accumulated 90% variances of previous data\n","# - In the fitted PCA() model, you can find explained_variance_ratio_ and use the sum() function to add them to get the accumulated variance ratio\n","\n","from sklearn.decomposition import PCA\n","\n","# Initialize an empty list to store accumulated variance ratios\n","accumulated_variance_ratios = []\n","\n","# Define a range of candidate values for n_components\n","candidate_components = range(1, 15)\n","\n","# Iterate over each candidate value of n_components\n","for n_components in candidate_components:\n","    # Initialize PCA with the current value of n_components\n","    pca = PCA(n_components=n_components)\n","    # Fit PCA to the features and transform them\n","    transformed_features = pca.fit_transform(features)\n","    # Calculate the accumulated variance ratio\n","    accumulated_variance_ratio = np.sum(pca.explained_variance_ratio_)\n","    # Append the accumulated variance ratio to the list\n","    accumulated_variance_ratios.append(accumulated_variance_ratio)\n","\n","# Find the smallest n_components value for which accumulated variance ratio >= 0.9\n","optimal_n_components = next(n for n, ratio in zip(candidate_components, accumulated_variance_ratios) if ratio >= 0.9)\n","\n","print(\"Optimized n_components:\", optimal_n_components)\n"]},{"cell_type":"markdown","id":"f18d25d8-aa13-455b-a451-263840e6ab39","metadata":{},"source":["<details>\n","    <summary>Click here for Hints</summary>\n","    \n","* For each `n_components` from 1 to 14 you can call `PCA=PCA(n_components=component)`, then you can simply fit it by callsing `pca.fit_transform(features)` where `features = user_profile_df.loc[:, user_profile_df.columns != 'user']`. \n","* Then you can find `accumulated_variance_ratios` by applying `sum()` to `pca.explained_variance_ratio_`. \n","* Then find the smallest n_components value for which `accumulated_variance_ratios >= 0.9` and return it.\n","</details>\n"]},{"cell_type":"code","execution_count":36,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["import matplotlib.pyplot as plt\n","\n","# Plot the cumulative explained variance ratio versus the number of components\n","plt.figure(figsize=(10, 6))\n","plt.plot(candidate_components, accumulated_variance_ratios, marker='o', linestyle='-')\n","plt.title('PCA: Cumulative Explained Variance Ratio vs. Number of Components')\n","plt.xlabel('Number of Components')\n","plt.ylabel('Cumulative Explained Variance Ratio')\n","plt.axhline(y=0.9, color='r', linestyle='--', label='90% Variance Explained')\n","plt.legend()\n","plt.grid(True)\n","plt.xticks(candidate_components)\n","plt.show()\n"]},{"cell_type":"markdown","id":"1c5d5d20-b3e6-4798-bb8b-912383a2756c","metadata":{},"source":["If you visualize your hyperparameter searching process, you may get a trend line like the following:\n"]},{"cell_type":"markdown","id":"29971ec2-0e72-400a-a395-5dd1f5a16f20","metadata":{},"source":["![](https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-ML321EN-SkillsNetwork/labs/module_3/images/pca.png)\n"]},{"cell_type":"markdown","id":"76f2ed5b-13e8-43f5-8ff5-b5a1758f23f0","metadata":{},"source":["Once you found the optimized `n_component` argument value, you can apply PCA on the user profile feature vectors and reduce the  14 features into  `n_component` features.\n"]},{"cell_type":"markdown","id":"95a2dcd3-50d5-4829-9757-52ebdd29d2f5","metadata":{},"source":["_TODO: Perform PCA to transform original user profile features_\n"]},{"cell_type":"code","execution_count":38,"id":"839998f7-4944-43bf-821a-4f0a333d359d","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["          user  component_1  component_2  component_3  component_4  \\\n","0            2    14.344879     8.133604    -0.784776     7.785915   \n","1            4     6.504012     0.711592     0.665847     4.499312   \n","2            5     8.702599     6.863756    -2.738141     4.123398   \n","3            7    -2.345235    -0.480169     0.349354     0.792661   \n","4            8    -1.633107    -0.467742     0.608992     1.551347   \n","...        ...          ...          ...          ...          ...   \n","33896  2102054     1.152217     0.009959    -0.268323    -0.139300   \n","33897  2102356    -2.650329    -0.238296     0.167018     0.437950   \n","33898  2102680     1.260657    -0.497273    -1.579858    -0.708500   \n","33899  2102983    -2.554136    -0.437241     0.009475     0.617616   \n","33900  2103039    -2.554136    -0.437241     0.009475     0.617616   \n","\n","       component_5  component_6  component_7  component_8  component_9  \n","0         0.779409    -3.501988     2.939476    -0.254329    -0.239972  \n","1        -1.162843     1.023709     0.352343     0.178827    -1.168256  \n","2        -0.011729    -1.289412     1.201477     0.668187     1.245359  \n","3        -0.071713     0.007950     0.231419    -0.028840    -0.351692  \n","4        -0.235595     0.179295     0.275583    -0.104992    -0.038204  \n","...            ...          ...          ...          ...          ...  \n","33896    -0.190867    -0.036039     0.431891     1.352417     2.155239  \n","33897    -0.157605     0.092567     0.248718    -0.040696    -0.127317  \n","33898    -0.505929     0.182355     0.719555    -0.205001     0.322021  \n","33899    -0.036784    -0.074592     0.307912    -0.005251    -0.308582  \n","33900    -0.036784    -0.074592     0.307912    -0.005251    -0.308582  \n","\n","[33901 rows x 10 columns]\n"]}],"source":["# WRITE YOUR CODE HERE\n","\n","# - For a list of candidate `n_components` arguments such as 1 to 14, find out the minimal `n` that can explain accumulated 90% variances of previous data\n","# - In the fitted PCA() model, you can find explained_variance_ratio_ and use the sum() function to add them to get the accumulated variance ratio\n","# - Merge the user ids and transformed features into a new dataframe\n","\n","from sklearn.decomposition import PCA\n","\n","# Initialize PCA with the optimized number of components\n","pca = PCA(n_components=optimal_n_components)\n","\n","# Fit PCA to the features and transform them\n","transformed_features = pca.fit_transform(features)\n","\n","# Create a DataFrame for the transformed features\n","transformed_features_df = pd.DataFrame(data=transformed_features)\n","\n","# Merge the user IDs with the transformed features\n","pca_user_profile_df = pd.merge(user_ids, transformed_features_df, left_index=True, right_index=True)\n","\n","# Rename the columns of the transformed features\n","pca_user_profile_df.columns = ['user'] + [f'component_{i+1}' for i in range(optimal_n_components)]\n","\n","# Display the PCA transformed dataframe\n","print(pca_user_profile_df)\n"]},{"cell_type":"markdown","id":"40d54dfc-e1fc-4f90-98ea-96224b18e694","metadata":{},"source":["<details>\n","    <summary>Click here for Hints</summary>\n","    \n","* Call PCA class as `pca = PCA(n_components=n_components)` \n","* Fit PCA model using predefined `features` variable as only parameter\n","* Get the components by calling `pca.fit_transform(features)` \n","* Create a `pd.DataFrame(data=components)` and use `pd.merge` to merge it with `user_ids` don't forget to specify `left_index=True, right_index=True` in `merge` function parameters.\n","    \n","</details> \n","    \n"]},{"cell_type":"markdown","id":"eac18aae-82be-43bc-ae80-cd226b243c05","metadata":{},"source":["Your PCA transformed dataframe may look like the following:\n"]},{"cell_type":"markdown","id":"8af0b745-8a31-4d08-8eae-9c468781f27d","metadata":{},"source":["![](https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-ML321EN-SkillsNetwork/labs/module_3/images/pca_res.png)\n"]},{"cell_type":"markdown","id":"17a18977-f59e-4e44-8fea-916e87bbacb2","metadata":{},"source":["### TASK: Perform k-means clustering on the PCA transformed feature vectors\n"]},{"cell_type":"markdown","id":"aa9884ac-93ed-416e-b380-982b206d6369","metadata":{},"source":["Now, you have the PCA  components of the original profile vectors. You can perform k-means on them again:\n"]},{"cell_type":"markdown","id":"c5c880ea-e34b-4321-a7bc-0fad34d797f8","metadata":{},"source":["_TODO: Perform K-means on the PCA transformed features_\n"]},{"cell_type":"code","execution_count":40,"id":"caef96ae-2b87-44e6-bac6-57a8970d12c0","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["          user  cluster\n","0            2        2\n","1            4        0\n","2            5        2\n","3            7        1\n","4            8        1\n","...        ...      ...\n","33896  2102054        3\n","33897  2102356        1\n","33898  2102680        3\n","33899  2102983        1\n","33900  2103039        1\n","\n","[33901 rows x 2 columns]\n"]}],"source":["## WRITE YOUR CODE HERE\n","\n","## - Apply KMeans() on the PCA features\n","## - Obtain the cluster label lists from model.labels_ attribute\n","## - Assign each user a cluster label by combining user ids and cluster labels\n","\n","from sklearn.cluster import KMeans\n","\n","# Define the number of clusters\n","n_clusters = 5  # or any other desired number of clusters\n","\n","# Apply KMeans on the PCA transformed features\n","kmeans_pca = KMeans(n_clusters=n_clusters, random_state=rs)\n","kmeans_pca.fit(transformed_features)\n","\n","# Obtain the cluster labels\n","pca_cluster_labels = kmeans_pca.labels_\n","\n","# Combine user IDs and cluster labels\n","pca_cluster_df = combine_cluster_labels(user_ids, pca_cluster_labels)\n","\n","# Display the resulting dataframe\n","print(pca_cluster_df)\n"]},{"cell_type":"markdown","id":"af5f305d-08ec-45d3-bbc7-689220f4db69","metadata":{},"source":["Your clustering results should have the same format as the k-means on the original dataset:\n"]},{"cell_type":"markdown","id":"c39b4175-ce37-4b58-a759-591e7e14d9ab","metadata":{},"source":["![](https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-ML321EN-SkillsNetwork/labs/module_3/images/cluster_labels.png)\n"]},{"cell_type":"markdown","id":"8d3e9751-e9a7-40fd-b067-8350bca39cf4","metadata":{},"source":["Great, now all users find their learning interest groups, either based on their original or the PCA transformed user profile features. \n"]},{"cell_type":"markdown","id":"6117d84a-f6be-44d0-a510-58a8e9b143bb","metadata":{},"source":["When a user is in a group or a community, it is very likely that the user will be interested in the courses enrolled by other members within the same group.\n"]},{"cell_type":"markdown","id":"8b380050-3f12-4e40-aa36-737014eb0595","metadata":{},"source":["### TASK: Generate course recommendations based on the popular courses in the same cluster\n"]},{"cell_type":"markdown","id":"5a261907-b00b-4f42-9303-54aca7c15e06","metadata":{},"source":["The Intuition of clustering-based course recommendation is very simple and can be illustrated via the following example:\n"]},{"cell_type":"markdown","id":"bc10a08b-3e30-4c70-a93b-3e351267dd95","metadata":{},"source":["Suppose a user has joined a machine learning group (via clustering algorithm). In the group, he/she finds that the top-3 courses enrolled by all other group members are `Machine Learning for Everyone`, `Machine Learning with Python`, `Machine Learning with Scikit-learn`. Since the user has already completed the `Machine Learning for Everyone` earlier, he/she decides to trust the group members' choices and enroll in other two unselected courses `Machine Learning with Python` and `Machine Learning with Scikit-learn`.\n"]},{"cell_type":"markdown","id":"42dbbf4c-b331-436d-8574-a79e2ebba702","metadata":{},"source":["In summary, the clustering-based recommender system first groups all users based on their profiles, and maintains a popular courses list for each group. \n","\n","For any group member who needs course recommendations, the algorithm recommends the unselected courses from the popular course lists.\n"]},{"cell_type":"markdown","id":"c63852a0-9e4f-49a5-a58a-7cdcd0ffcd40","metadata":{},"source":["Next, suppose we have a set of test users, and we want to recommend new courses to them using a clustering-based recommender system:\n"]},{"cell_type":"code","execution_count":41,"id":"e60fc298-cf22-46ed-a67f-d953b24c0207","metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>user</th>\n","      <th>item</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1502801</td>\n","      <td>RP0105EN</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1609720</td>\n","      <td>CNSC02EN</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>1347188</td>\n","      <td>CO0301EN</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>755067</td>\n","      <td>ML0103EN</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>538595</td>\n","      <td>BD0115EN</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["      user      item\n","0  1502801  RP0105EN\n","1  1609720  CNSC02EN\n","2  1347188  CO0301EN\n","3   755067  ML0103EN\n","4   538595  BD0115EN"]},"execution_count":41,"metadata":{},"output_type":"execute_result"}],"source":["test_user_url = \"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-ML321EN-SkillsNetwork/labs/datasets/rs_content_test.csv\"\n","\n","# Reading the test user data CSV file into a pandas DataFrame\n","# Selecting only the 'user' and 'item' columns using indexing\n","test_users_df = pd.read_csv(test_user_url)[['user', 'item']]\n","\n","# Displaying the first few rows of the DataFrame to inspect its contents\n","test_users_df.head()"]},{"cell_type":"markdown","id":"b15ac0ea-1b8c-4673-a4a6-60dfc8d0d852","metadata":{},"source":["The test users dataset has only two columns, the user id and the enrolled course id. \n"]},{"cell_type":"markdown","id":"a4c8b0ff-5aca-4d12-9f6b-53be9f1ba17a","metadata":{},"source":["For each user, let's find its cluster label using the k-means results you have performed in previous steps, assuming it is named `cluster_df`.\n"]},{"cell_type":"markdown","id":"a9513c5e-7f32-43ec-9238-ea6691196677","metadata":{},"source":["You can assign the cluster label to all test users via merging the clustering labels (`cluster_df`:):\n"]},{"cell_type":"code","execution_count":43,"id":"401a6e4f-62c4-4726-a51b-c461f4d053be","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["         user       item  cluster\n","0     1502801   RP0105EN        0\n","1     1609720   CNSC02EN        1\n","2     1347188   CO0301EN        3\n","3      755067   ML0103EN        0\n","4      538595   BD0115EN        0\n","...       ...        ...      ...\n","9397  1385217   EE0101EN        0\n","9398  1864644   DA0101EN        1\n","9399   435858  TMP0105EN        4\n","9400  1888188   DB0101EN        3\n","9401   708518   RP0101EN        2\n","\n","[9402 rows x 3 columns]\n"]}],"source":["test_users_labelled = pd.merge(test_users_df, cluster_df, left_on='user', right_on='user')\n","\n","print(test_users_labelled)"]},{"cell_type":"markdown","id":"7aa682ee-15cb-4ad2-a489-906da3458d31","metadata":{},"source":["The merged the test dataset may look like the following:\n"]},{"cell_type":"markdown","id":"c80ea197-2d07-4181-b728-dea145dc5b32","metadata":{},"source":["![](https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-ML321EN-SkillsNetwork/labs/module_3/images/test_users_label.png)\n"]},{"cell_type":"markdown","id":"9e3a4b82-6852-49fe-b43e-b6015e70d707","metadata":{},"source":["From the above dataframe, we know each user's enrolled courses and its cluster index.\n"]},{"cell_type":"markdown","id":"6a070da1-84ce-4776-919e-a74785a4a43f","metadata":{},"source":["If we use a `groupby`  and `sum` aggregation, we can get the enrollments count for each course in each group, like the following code snippet:\n"]},{"cell_type":"code","execution_count":44,"id":"2f9f3017-ba99-4f55-9237-2041c8c9f420","metadata":{},"outputs":[],"source":["# Extracting the 'item' and 'cluster' columns from the test_users_labelled DataFrame\n","courses_cluster = test_users_labelled[['item', 'cluster']]\n","\n","# Adding a new column 'count' with a value of 1 for each row in the courses_cluster DataFrame\n","courses_cluster['count'] = [1] * len(courses_cluster)\n","\n","# Grouping the DataFrame by 'cluster' and 'item', aggregating the 'count' column with the sum function,\n","# and resetting the index to make the result more readable\n","courses_cluster_grouped = courses_cluster.groupby(['cluster','item']).agg(enrollments=('count','sum')).reset_index()"]},{"cell_type":"markdown","id":"44d653f5-b16e-4c06-981d-773ad1c6390a","metadata":{},"source":["_TODO: For each test user, try to recommend any unseen courses based on the popular courses in his/her cluster. You may use an enrollment count threshold (such as larger than 10) to determine if it is a popular course in the cluster_ \n"]},{"cell_type":"code","execution_count":50,"id":"4e3269d5-b958-48e7-bccf-8cc42281492d","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["User 1502801: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'RP0101EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'DS0103EN'}\n","User 1609720: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1347188: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 755067: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'RP0101EN', 'DA0101EN', 'BD0145EN', 'CL0101EN', 'BD0223EN', 'DS0103EN'}\n","User 538595: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0105EN', 'ML0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1773079: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CO0101EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 603361: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CL0101EN', 'DS0103EN'}\n","User 1122903: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DS0201EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'BD0121EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'CNSC02EN', 'DS0103EN'}\n","User 714414: Recommended courses - {'ML0101EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'ML0120ENv2', 'DB0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1688159: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 703905: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'CO0401EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 881847: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'CO0201EN', 'CC0103EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'ML0120ENv2', 'DB0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1784245: Recommended courses - {'RP0105EN', 'ML0103EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DB0101EN', 'ML0101ENv3', 'BD0115EN', 'PA0101EN', 'BD0141EN', 'ML0151EN', 'BD0223EN', 'SC0101EN', 'SC0105EN', 'BD0212EN'}\n","User 1443131: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'SC0105EN', 'SC0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1773434: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN'}\n","User 489692: Recommended courses - {'CC0201EN', 'CC0103EN', 'DA0101EN', 'DS0321EN', 'ML0201EN', 'DV0101EN', 'CC0101EN', 'DB0101EN', 'CC0150EN', 'ML0115EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'BD0211EN', 'CC0210EN'}\n","User 430274: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1394499: Recommended courses - {'ML0103EN', 'BD0123EN', 'BD0131EN', 'BD0115EN', 'PA0101EN', 'BD0141EN', 'DS0301EN', 'SC0101EN', 'SC0105EN'}\n","User 1221910: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'CB0105ENv1', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1636610: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1504635: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 616284: Recommended courses - {'ML0101EN', 'BD0123EN', 'DS0201EN', 'CC0101EN', 'DB0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'RP0105EN', 'DV0101EN', 'ML0109EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 462755: Recommended courses - {'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'CO0401EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'CO0201EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'ML0103EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 902138: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1102170: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'DS0103EN'}\n","User 510780: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN'}\n","User 220851: Recommended courses - {'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 952742: Recommended courses - {'CO0101EN', 'RP0101EN', 'RP0105EN', 'BD0123EN', 'BD0131EN', 'BD0115EN', 'BD0141EN', 'DV0151EN', 'ML0120ENv2', 'BD0223EN', 'SC0105EN', 'BD0212EN'}\n","User 704521: Recommended courses - {'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'ML0103EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'CNSC02EN', 'SC0101EN'}\n","User 517197: Recommended courses - {'ML0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'CC0201EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'ML0120ENv2', 'DB0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1806207: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1648099: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 108541: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1642918: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 601371: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1199884: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 531408: Recommended courses - {'TA0105', 'PY0101EN', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 708518: Recommended courses - {'CO0101EN', 'RP0105EN', 'CB0103EN', 'BD0123EN', 'BD0131EN', 'BD0223EN', 'DB0101EN', 'BC0101EN', 'BD0115EN', 'BD0141EN', 'BD0211EN', 'SC0101EN', 'SC0105EN', 'BD0212EN'}\n","User 1351020: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 472908: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 482875: Recommended courses - {'ML0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1541383: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 877026: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'RP0101EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 755044: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'BD0115EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'BD0133EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'RP0101EN', 'BD0145EN', 'CL0101EN', 'BD0223EN', 'DS0103EN'}\n","User 913275: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'RP0101EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'DS0103EN'}\n","User 1275452: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'RP0101EN', 'ML0103EN', 'BC0201EN', 'DS0103EN'}\n","User 985429: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1237626: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 577001: Recommended courses - {'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'DS0201EN', 'CC0101EN', 'DB0151EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'CNSC02EN', 'SC0101EN'}\n","User 981848: Recommended courses - {'CO0101EN', 'RP0105EN', 'CB0103EN', 'BD0123EN', 'BD0131EN', 'BD0223EN', 'DB0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'BD0115EN', 'BD0141EN', 'ML0151EN', 'BD0211EN', 'BD0212EN'}\n","User 1751931: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1378699: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 705065: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1452505: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 762860: Recommended courses - {'TA0105', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1571271: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 767649: Recommended courses - {'CC0201EN', 'DA0101EN', 'DS0321EN', 'LB0103ENv1', 'ML0201EN', 'CB0105ENv1', 'DV0101EN', 'PY0101EN', 'CC0150EN', 'LB0101ENv1', 'BC0202EN', 'BC0201EN', 'ML0115EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'CC0210EN'}\n","User 1194679: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1882084: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1506139: Recommended courses - {'ST0101EN', 'CC0150EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN'}\n","User 569052: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 1316258: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'DS0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1016747: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 696345: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'RP0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 494226: Recommended courses - {'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'BD0223EN', 'DS0103EN'}\n","User 699465: Recommended courses - {'ML0101EN', 'PY0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 886106: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'ML0103EN', 'CB0105ENv1', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 740210: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 690872: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 705746: Recommended courses - {'RP0103', 'ST0101EN', 'DS0105EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'SC0105EN', 'DE0205EN', 'RP0105EN', 'DS0321EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'BD0221EN', 'ML0103EN', 'RP0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 759038: Recommended courses - {'ML0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0141EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1212187: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1715864: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 738131: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'CO0201EN', 'CC0103EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 793367: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'ML0109EN', 'DS0101EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1271375: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'RP0105EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1405594: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 266643: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1194262: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1474331: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1538828: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 669512: Recommended courses - {'ST0101EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'SC0101EN'}\n","User 1287782: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1006163: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 2021696: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 970895: Recommended courses - {'CO0101EN', 'ML0103EN', 'DA0101EN', 'PY0101EN', 'ST0101EN', 'SC0101EN', 'DV0101EN', 'BD0123EN', 'DS0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'DS0103EN', 'SC0105EN', 'CB0103EN'}\n","User 1596323: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 979847: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 738953: Recommended courses - {'PY0101EN', 'CC0150EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'CC0250EN', 'DB0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN'}\n","User 1095855: Recommended courses - {'DS0105EN', 'CC0101EN', 'CC0150EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'WA0101EN', 'LB0101ENv1', 'BC0101EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 998607: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1521903: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 539916: Recommended courses - {'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1404598: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1563448: Recommended courses - {'RP0105EN', 'ML0103EN', 'DS0105EN', 'BD0131EN', 'ML0120ENv2', 'DB0101EN', 'BC0101EN', 'PA0101EN', 'BD0141EN', 'DS0301EN', 'DV0151EN', 'BD0223EN', 'SC0105EN'}\n","User 887336: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1206954: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1783867: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1224751: Recommended courses - {'PY0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'DS0103EN'}\n","User 1444838: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 560247: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 2004142: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1078030: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 621543: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'BD0212EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'RP0101EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 684186: Recommended courses - {'ML0101EN', 'PY0101EN', 'BD0123EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 152320: Recommended courses - {'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 578677: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 701650: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1061706: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'BD0223EN', 'DS0103EN'}\n","User 399457: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 187819: Recommended courses - {'CO0101EN', 'ML0103EN', 'DA0101EN', 'PY0101EN', 'ST0101EN', 'DV0101EN', 'BD0123EN', 'ML0151EN', 'BC0101EN', 'ML0115EN', 'ML0101ENv3', 'PA0101EN', 'DV0151EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN'}\n","User 2022708: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1355756: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1215047: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'DS0201EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1313360: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 952216: Recommended courses - {'CO0101EN', 'ML0103EN', 'RP0105EN', 'BD0123EN', 'BD0131EN', 'ML0151EN', 'ML0101ENv3', 'BD0115EN', 'BD0141EN', 'DS0301EN', 'ML0120ENv2', 'BD0223EN', 'SC0105EN', 'BD0212EN'}\n","User 1458003: Recommended courses - {'CO0101EN', 'RP0101EN', 'RP0105EN', 'ST0101EN', 'SC0101EN', 'ML0151EN', 'BD0223EN', 'DB0101EN', 'BD0111EN', 'BC0101EN', 'BD0141EN', 'DS0101EN', 'DV0151EN', 'BD0211EN', 'DS0103EN', 'SC0105EN', 'BD0212EN'}\n","User 627837: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1736248: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1208551: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1391909: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DV0151EN', 'ML0151EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'ML0120EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1571241: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1730632: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CO0101EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1258208: Recommended courses - {'ST0101EN', 'DV0101EN', 'BD0123EN', 'DS0105EN', 'ML0120ENv2', 'BC0101EN', 'ML0115EN', 'ML0101ENv3', 'BD0115EN', 'BD0141EN', 'DS0101EN', 'DV0151EN', 'SC0105EN', 'BD0212EN'}\n","User 753875: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 931547: Recommended courses - {'CO0101EN', 'RP0101EN', 'DA0101EN', 'PY0101EN', 'RP0105EN', 'DV0101EN', 'DB0101EN', 'BC0101EN', 'ML0101ENv3', 'DV0151EN', 'ML0151EN', 'ML0120ENv2', 'BD0223EN', 'SC0101EN', 'SC0105EN', 'BD0212EN'}\n","User 558382: Recommended courses - {'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1559681: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1831769: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'LB0105ENv1', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 681552: Recommended courses - {'ST0101EN', 'DS0105EN', 'BD0131EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0101EN', 'DV0101EN', 'BD0141EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'BD0223EN'}\n","User 461049: Recommended courses - {'RP0105EN', 'ML0103EN', 'CB0103EN', 'SC0101EN', 'DV0101EN', 'BD0123EN', 'BD0131EN', 'BD0111EN', 'ML0101ENv3', 'BD0115EN', 'PA0101EN', 'BD0141EN', 'ML0151EN', 'ML0120ENv2', 'BD0223EN', 'DS0103EN', 'SC0105EN', 'BD0212EN'}\n","User 1457700: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'RP0105EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1884765: Recommended courses - {'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'DV0101EN', 'BD0141EN', 'DS0101EN', 'BD0212EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'BD0223EN', 'SC0101EN'}\n","User 1284176: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1230771: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1273446: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'BD0223EN', 'DS0103EN'}\n","User 1104351: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'ML0122ENv1', 'DS0103EN'}\n","User 1073082: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'BD0223EN', 'DS0103EN'}\n","User 1964245: Recommended courses - {'ST0101EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN'}\n","User 1345617: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1130710: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'WA0101EN', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1436224: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1916547: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 968795: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1208537: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1788961: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 696942: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 951530: Recommended courses - {'TA0105', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 419414: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 646160: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1'}\n","User 1688652: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 674939: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'RP0101EN', 'BD0153EN', 'DA0101EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'DS0103EN'}\n","User 1032524: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'RP0101EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'DS0103EN'}\n","User 1135440: Recommended courses - {'CO0101EN', 'ML0103EN', 'CB0103EN', 'BD0123EN', 'ML0151EN', 'BC0101EN', 'ML0115EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'BD0223EN', 'SC0101EN', 'SC0105EN', 'BD0212EN'}\n","User 1138499: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 1625215: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'WA0101EN', 'LB0101ENv1', 'BC0101EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1019556: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'BC0201EN', 'CNSC02EN', 'DS0103EN'}\n","User 1027344: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1593639: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1669680: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'ML0101ENv3', 'LB0107ENv1', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CL0101EN', 'DS0103EN'}\n","User 1819037: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 957960: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1107112: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1014699: Recommended courses - {'PY0101EN', 'ST0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN'}\n","User 2046621: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 485273: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'RP0101EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1196134: Recommended courses - {'CO0101EN', 'ML0103EN', 'CB0103EN', 'PY0101EN', 'RP0101EN', 'RP0105EN', 'ST0101EN', 'BD0123EN', 'ML0120ENv2', 'DB0101EN', 'ML0115EN', 'PA0101EN', 'DS0101EN', 'DS0301EN', 'DV0151EN', 'BD0223EN', 'SC0105EN', 'BD0212EN'}\n","User 1806813: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1573190: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 497128: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'ML0101ENv3', 'ML0120ENv2', 'DB0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1886079: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 899349: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CC0201EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'DS0103EN'}\n","User 750640: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 748522: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 296101: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'RP0105EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 886688: Recommended courses - {'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 948812: Recommended courses - {'ML0101EN', 'PY0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 1188137: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1341177: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 883150: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 547966: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 973663: Recommended courses - {'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'ML0120ENv2', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 988115: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'CP0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1304909: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1285846: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'BD0211EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'LB0105ENv1', 'CC0250EN', 'CB0103EN', 'RP0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 142685: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'BD0115EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'SC0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'CO0201EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 182509: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1120306: Recommended courses - {'RP0101EN', 'ML0103EN', 'DA0101EN', 'RP0105EN', 'ST0101EN', 'DV0101EN', 'BD0123EN', 'ML0151EN', 'ML0115EN', 'ML0101ENv3', 'PA0101EN', 'DV0151EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'SC0105EN'}\n","User 1167829: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1898770: Recommended courses - {'CO0101EN', 'BD0101EN', 'CB0103EN', 'ML0101ENv3', 'BD0115EN', 'PA0101EN', 'BD0141EN', 'ML0151EN', 'ML0120ENv2', 'BD0211EN', 'BD0212EN'}\n","User 794282: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 480186: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 2020759: Recommended courses - {'PY0101EN', 'ST0101EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 945917: Recommended courses - {'PY0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1291244: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'DS0201EN', 'DB0151EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'CC0250EN', 'DB0101EN', 'CB0103EN', 'BD0221EN', 'BD0145EN', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1619917: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 628701: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CO0101EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1296757: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1069367: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1676451: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN'}\n","User 897866: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1691129: Recommended courses - {'ML0101EN', 'TA0105', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1607405: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'RP0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1251998: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1259123: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1813726: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1697791: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1121817: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 940704: Recommended courses - {'CO0101EN', 'BD0101EN', 'RP0105EN', 'BD0123EN', 'BD0131EN', 'BD0223EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'BD0115EN', 'BD0141EN', 'DS0301EN', 'ML0120ENv2', 'BD0211EN', 'SC0101EN', 'BD0212EN'}\n","User 728690: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'RP0105EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 931463: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1180992: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1831780: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 555836: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 702927: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1438699: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'ML0115EN', 'DW0101EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 624248: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1893628: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 699014: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1608895: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 968280: Recommended courses - {'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'CNSC02EN', 'DS0103EN'}\n","User 2057052: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1312255: Recommended courses - {'CO0101EN', 'ML0103EN', 'DA0101EN', 'RP0101EN', 'ST0101EN', 'ML0151EN', 'BC0101EN', 'ML0115EN', 'PA0101EN', 'DV0151EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN'}\n","User 435051: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'RP0101EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1300715: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 515823: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'BD0223EN', 'DS0103EN'}\n","User 1382697: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1008779: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1167173: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'RP0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 243266: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0101EN', 'ML0103EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 888995: Recommended courses - {'RP0105EN', 'BD0123EN', 'BD0131EN', 'ML0151EN', 'DB0101EN', 'ML0115EN', 'BD0115EN', 'PA0101EN', 'BD0141EN', 'DV0151EN', 'ML0120ENv2', 'BD0223EN', 'BD0212EN'}\n","User 503032: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'DS0201EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 406940: Recommended courses - {'ML0101EN', 'PY0101EN', 'RP0103', 'DS0201EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN'}\n","User 2061096: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'BD0143EN', 'RP0101EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 149690: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1236864: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'RP0105EN', 'BD0121EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 621497: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1813704: Recommended courses - {'CO0101EN', 'ML0103EN', 'CB0103EN', 'PY0101EN', 'RP0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'BC0101EN', 'BD0141EN', 'DS0301EN', 'BD0223EN', 'SC0101EN', 'SC0105EN', 'BD0212EN'}\n","User 2082818: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'DS0105EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 828900: Recommended courses - {'ML0101EN', 'PY0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 609057: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1170761: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 927022: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1607052: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 641270: Recommended courses - {'CO0101EN', 'ML0103EN', 'RP0105EN', 'ST0101EN', 'ML0151EN', 'DB0101EN', 'BC0101EN', 'ML0115EN', 'ML0101ENv3', 'PA0101EN', 'DV0151EN', 'DS0301EN', 'ML0120ENv2', 'BD0223EN', 'SC0101EN', 'SC0105EN', 'BD0212EN'}\n","User 591984: Recommended courses - {'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1864557: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 459415: Recommended courses - {'ML0101EN', 'TA0105', 'DB0151EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN'}\n","User 1758635: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 630417: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 922932: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 944182: Recommended courses - {'CO0101EN', 'RP0101EN', 'CB0103EN', 'RP0105EN', 'BD0123EN', 'BD0131EN', 'BD0223EN', 'ML0151EN', 'BD0115EN', 'BD0141EN', 'DV0151EN', 'BD0211EN', 'SC0101EN', 'SC0105EN', 'BD0212EN'}\n","User 528259: Recommended courses - {'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'DS0201EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1031032: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 753356: Recommended courses - {'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'ML0103EN', 'BD0145EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 446982: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 902617: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1667543: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 572721: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 992171: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 2036996: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 315714: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'SC0101EN'}\n","User 2052832: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 639271: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1'}\n","User 1818149: Recommended courses - {'CC0201EN', 'DA0101EN', 'DS0321EN', 'LB0103ENv1', 'ST0101EN', 'CL0101EN', 'DS0103EN', 'DS0105EN', 'WA0101EN', 'DB0101EN', 'CC0150EN', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'BD0211EN', 'CO0201EN', 'CO0401EN', 'CO0301EN'}\n","User 569284: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0105EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 982945: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'BD0223EN', 'DS0103EN'}\n","User 1660009: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 425952: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'BD0223EN', 'DS0103EN'}\n","User 910687: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 934060: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1455717: Recommended courses - {'ST0101EN', 'CC0150EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'CC0250EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CL0101EN', 'BC0201EN'}\n","User 1469379: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CC0201EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 418401: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 700521: Recommended courses - {'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CB0103EN', 'BD0221EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN'}\n","User 544738: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1396750: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CL0101EN', 'DS0103EN'}\n","User 765007: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1085627: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'CNSC02EN', 'DS0103EN'}\n","User 779324: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1390701: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 776333: Recommended courses - {'ML0101EN', 'BD0123EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'ML0103EN', 'BD0145EN', 'CL0101EN', 'SC0103EN', 'BD0223EN'}\n","User 1581286: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1803286: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 70434: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DS0201EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1190408: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 620994: Recommended courses - {'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1051928: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN'}\n","User 960871: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1101622: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 964624: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1950381: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 497451: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1128883: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 52091: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'SC0101EN', 'RP0105EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'CNSC02EN', 'DS0103EN'}\n","User 2050073: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 757762: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1717953: Recommended courses - {'CO0101EN', 'ML0103EN', 'CB0103EN', 'RP0105EN', 'BD0123EN', 'BD0131EN', 'BD0223EN', 'BD0115EN', 'PA0101EN', 'BD0141EN', 'BD0211EN', 'SC0105EN', 'BD0212EN'}\n","User 733707: Recommended courses - {'CO0101EN', 'ML0103EN', 'DA0101EN', 'RP0101EN', 'RP0105EN', 'SC0101EN', 'BD0123EN', 'DS0105EN', 'BC0101EN', 'ML0115EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'DS0103EN', 'CB0103EN'}\n","User 739171: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1443238: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1021113: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1255885: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DB0151EN', 'BD0115EN', 'ML0151EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 899011: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1574761: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1194104: Recommended courses - {'ST0101EN', 'DS0105EN', 'ML0115EN', 'BD0211EN', 'DS0321EN', 'DS0101EN', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1562232: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 615039: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1738888: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1803965: Recommended courses - {'ML0101EN', 'TA0105', 'DB0151EN', 'DW0101EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0120ENv2', 'CB0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 606892: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'RP0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1131617: Recommended courses - {'RP0101EN', 'ML0103EN', 'RP0105EN', 'ML0151EN', 'DB0101EN', 'BC0101EN', 'PA0101EN', 'BD0141EN', 'DS0301EN', 'DV0151EN', 'BD0223EN', 'SC0101EN', 'SC0105EN', 'CB0103EN'}\n","User 1008504: Recommended courses - {'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 440679: Recommended courses - {'CO0101EN', 'ML0103EN', 'DA0101EN', 'RP0105EN', 'ST0101EN', 'DV0101EN', 'DS0105EN', 'BD0223EN', 'BD0212EN', 'DB0101EN', 'ML0115EN', 'ML0101ENv3', 'PA0101EN', 'DV0151EN', 'ML0120ENv2', 'BD0211EN', 'SC0105EN', 'CB0103EN'}\n","User 681785: Recommended courses - {'ML0101EN', 'TA0105', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'CP0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1062761: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 428830: Recommended courses - {'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 925383: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0103EN', 'LB0103ENv1', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 1104367: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1371316: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1840422: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 1823144: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'RP0105EN', 'SC0101EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1256658: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1271321: Recommended courses - {'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN'}\n","User 661906: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'ML0151EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1'}\n","User 1514188: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'DS0105EN', 'BD0131EN', 'DS0201EN', 'DB0151EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0105EN', 'RP0105EN', 'DS0321EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 406451: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'DS0105EN', 'DS0201EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'RP0105EN', 'SC0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 667110: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 447524: Recommended courses - {'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'ML0109EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1743750: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 483426: Recommended courses - {'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'DS0105EN', 'DS0201EN', 'CC0101EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1193731: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 689540: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 779857: Recommended courses - {'ML0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 543504: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'DS0201EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN'}\n","User 1953163: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'WA0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 887953: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'DB0101EN', 'CC0250EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'DS0103EN'}\n","User 1145194: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 963178: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'CL0101EN', 'BC0201EN', 'ML0122ENv1'}\n","User 921347: Recommended courses - {'CO0101EN', 'RP0105EN', 'CB0103EN', 'ST0101EN', 'BD0123EN', 'ML0151EN', 'DB0101EN', 'BC0101EN', 'BD0141EN', 'DV0151EN', 'BD0223EN', 'SC0101EN', 'SC0105EN', 'BD0212EN'}\n","User 647516: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1274973: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 1423135: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 969379: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 506734: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 777750: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1169698: Recommended courses - {'CO0101EN', 'BD0101EN', 'DA0101EN', 'RP0101EN', 'RP0105EN', 'ST0101EN', 'DV0101EN', 'BD0123EN', 'BC0101EN', 'ML0115EN', 'ML0101ENv3', 'BD0141EN', 'ML0151EN', 'ML0120ENv2', 'BD0223EN', 'DS0103EN', 'SC0105EN', 'SC0101EN'}\n","User 1342117: Recommended courses - {'ST0101EN', 'CC0101EN', 'CC0150EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'DB0101EN', 'CC0250EN', 'CB0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN'}\n","User 881665: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 246703: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN'}\n","User 1232030: Recommended courses - {'PY0101EN', 'DS0105EN', 'CC0150EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1866295: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1427154: Recommended courses - {'ML0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 211118: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 408938: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1099252: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 956089: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1472511: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1977334: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 464965: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1696376: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 774617: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 660570: Recommended courses - {'RP0101EN', 'BD0101EN', 'ML0103EN', 'ST0101EN', 'DV0101EN', 'DS0105EN', 'ML0151EN', 'BD0212EN', 'BC0101EN', 'BD0141EN', 'DS0101EN', 'DV0151EN', 'DB0101EN', 'DS0301EN', 'CB0103EN'}\n","User 1919394: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'ML0201EN', 'WA0101EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 691576: Recommended courses - {'ML0101EN', 'ST0101EN', 'DS0105EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1314655: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CC0103EN', 'WA0101EN', 'BC0101EN', 'PA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 901100: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'ML0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'ML0120EN', 'BD0212EN', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1083088: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 983498: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0150EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'DA0101EN', 'CB0105ENv1'}\n","User 687371: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1384042: Recommended courses - {'CO0101EN', 'BD0101EN', 'CB0103EN', 'RP0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'ML0120ENv2', 'BC0101EN', 'BD0115EN', 'PA0101EN', 'BD0141EN', 'DS0301EN', 'DV0151EN', 'BD0223EN', 'SC0101EN', 'SC0105EN', 'BD0212EN'}\n","User 1229024: Recommended courses - {'ML0101EN', 'ST0101EN', 'DS0105EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'BD0223EN', 'DS0103EN'}\n","User 1871627: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'BD0115EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 942027: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1549032: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 876841: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1049634: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CL0101EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1260758: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 998972: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'BD0223EN', 'SC0101EN'}\n","User 707328: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 462554: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'BD0223EN', 'DS0103EN'}\n","User 1089282: Recommended courses - {'ML0101EN', 'PY0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BD0111EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 883013: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1332218: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 778132: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BC0101EN', 'PA0101EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1627595: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1751031: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 697008: Recommended courses - {'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'RP0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'CNSC02EN', 'SC0101EN'}\n","User 277715: Recommended courses - {'TA0105', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'CO0401EN', 'DE0205EN', 'CC0201EN', 'DS0321EN', 'BD0121EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'ML0103EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN'}\n","User 1628200: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1019344: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 969690: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'CNSC02EN', 'SC0101EN'}\n","User 587229: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'BD0133EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 718368: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1441107: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 964237: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1'}\n","User 1177066: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 511765: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1634015: Recommended courses - {'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'BD0115EN', 'DV0151EN', 'BD0211EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0141EN', 'BD0212EN', 'BD0111EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'RP0101EN', 'ML0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1087982: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 878908: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1567706: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 585227: Recommended courses - {'ML0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'ML0101ENv3', 'BD0133EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 642609: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 655195: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'WA0101EN', 'LB0101ENv1', 'BC0101EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'CB0103EN', 'RP0101EN', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 552288: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0201EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 685905: Recommended courses - {'PY0101EN', 'ST0101EN', 'CC0150EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN'}\n","User 888784: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1697610: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1513356: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 182847: Recommended courses - {'TA0105', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'BD0111EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'RP0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 621285: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 491004: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1920814: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 986814: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1248209: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 2087663: Recommended courses - {'ST0101EN', 'DS0105EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN'}\n","User 1348528: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1115180: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1824570: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 354686: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 888162: Recommended courses - {'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 608432: Recommended courses - {'ML0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0211EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1018679: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1626145: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0201EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1393591: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 911798: Recommended courses - {'TA0105', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1549935: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'ML0201EN', 'WA0101EN', 'BC0202EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1040249: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DS0201EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'BD0121EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'BD0101EN', 'ML0103EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1327565: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1106139: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1766896: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'RP0105EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 774978: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0201EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 905781: Recommended courses - {'ML0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1368692: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 786514: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 37465: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1136445: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'LB0107ENv1', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 1050603: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'DS0105EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1018143: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 967436: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 550887: Recommended courses - {'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 431224: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 926147: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'CC0250EN', 'LB0105ENv1', 'CO0301EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 666015: Recommended courses - {'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1804257: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 676097: Recommended courses - {'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'DS0301EN', 'CC0250EN', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'ML0103EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 446388: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 795406: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'BD0223EN', 'DS0103EN'}\n","User 1658936: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'DB0151EN', 'DV0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'DB0101EN', 'CB0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 750374: Recommended courses - {'DS0105EN', 'CO0401EN', 'CO0101EN', 'DS0321EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'LB0101ENv1', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 551330: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 899822: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1197018: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 545870: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 902636: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 576061: Recommended courses - {'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'BD0115EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'BD0141EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'CNSC02EN', 'SC0101EN'}\n","User 1357352: Recommended courses - {'ML0101EN', 'PY0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 261571: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'DS0201EN', 'DB0151EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'RP0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1'}\n","User 1486184: Recommended courses - {'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN'}\n","User 1428322: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 584748: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DV0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 435898: Recommended courses - {'TA0105', 'PY0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0151EN', 'CO0401EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'ML0101ENv3', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'CNSC02EN'}\n","User 1713082: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'RP0105EN', 'SC0101EN', 'DS0321EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1109401: Recommended courses - {'ST0101EN', 'CC0150EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN'}\n","User 1029144: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1143528: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 782574: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1205620: Recommended courses - {'ST0101EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1'}\n","User 1832099: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1136751: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 1385217: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DB0101EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN'}\n","User 1562460: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'DS0105EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1455180: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1125199: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'ML0151EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 924246: Recommended courses - {'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'CNSC02EN', 'DS0103EN'}\n","User 476798: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 918805: Recommended courses - {'ML0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0101EN', 'BD0153EN', 'DA0101EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 179356: Recommended courses - {'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'DV0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1594142: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 606648: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'CO0101EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CL0101EN'}\n","User 542255: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN'}\n","User 945602: Recommended courses - {'RP0105EN', 'PY0101EN', 'ST0101EN', 'DV0101EN', 'BD0123EN', 'DB0101EN', 'BC0101EN', 'ML0115EN', 'ML0101ENv3', 'ML0151EN', 'ML0120ENv2', 'BD0223EN', 'SC0105EN', 'CB0103EN'}\n","User 1399944: Recommended courses - {'PY0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1649175: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1676221: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'ML0122ENv1', 'SC0101EN'}\n","User 428501: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 698476: Recommended courses - {'RP0101EN', 'ML0103EN', 'CB0103EN', 'RP0105EN', 'BD0123EN', 'ML0151EN', 'DB0101EN', 'BD0115EN', 'PA0101EN', 'DV0151EN', 'DS0301EN', 'BD0223EN', 'SC0101EN', 'SC0105EN', 'BD0212EN'}\n","User 1719220: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1129990: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1033465: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'ML0120ENv2', 'DB0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1326774: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 585654: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1609128: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'PA0101EN', 'ML0120ENv2', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1589197: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 352684: Recommended courses - {'CO0101EN', 'ML0103EN', 'CB0103EN', 'DA0101EN', 'BD0123EN', 'ML0101ENv3', 'BD0115EN', 'DV0151EN', 'DS0301EN', 'ML0120ENv2', 'BD0223EN', 'SC0101EN', 'SC0105EN', 'BD0212EN'}\n","User 1105494: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1499434: Recommended courses - {'DS0105EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 969644: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1013378: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 362955: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'CC0250EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'CB0105ENv1', 'BC0201EN'}\n","User 998681: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 2056952: Recommended courses - {'ML0101EN', 'PY0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 632294: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 397562: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 932586: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 700005: Recommended courses - {'CO0101EN', 'ML0103EN', 'CB0103EN', 'BD0123EN', 'ML0151EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'SC0101EN', 'SC0105EN', 'BD0212EN'}\n","User 607310: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 477953: Recommended courses - {'ML0101EN', 'PY0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1643171: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 946219: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 50348: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1468497: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'ML0115EN', 'BD0211EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1271384: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 629189: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 331432: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'BD0133EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 784838: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1881160: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 134697: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 536821: Recommended courses - {'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 646951: Recommended courses - {'ML0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1691061: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1242036: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 403519: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'ML0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1336595: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 914078: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0120ENv2', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1203928: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 457527: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1461432: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 599839: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1190880: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 2002590: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 1718448: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'DS0201EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 927126: Recommended courses - {'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'BD0115EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'BD0121EN', 'BD0141EN', 'CO0201EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'CNSC02EN', 'SC0101EN'}\n","User 2074313: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 577409: Recommended courses - {'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 757742: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 904667: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 724221: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 902488: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 506042: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0211EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1752907: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1448499: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 739168: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1343816: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 781728: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 1811287: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'LB0105ENv1', 'CO0301EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 1322106: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 553969: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN'}\n","User 917605: Recommended courses - {'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1046219: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 1411341: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 691859: Recommended courses - {'ML0101EN', 'PY0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1354651: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 919445: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'CO0101EN', 'RP0105EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'RP0101EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'BD0223EN', 'DS0103EN'}\n","User 1770354: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1735651: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1098265: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'RP0105EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 574414: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 968566: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1325797: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 514320: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'CC0101EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'ML0120EN', 'BD0212EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'BD0221EN', 'ML0103EN', 'RP0101EN', 'BD0145EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 481019: Recommended courses - {'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0105EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 1581358: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 306665: Recommended courses - {'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1643210: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 760278: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 603336: Recommended courses - {'CO0101EN', 'ML0103EN', 'RP0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'BC0101EN', 'ML0115EN', 'PA0101EN', 'DV0151EN', 'DS0301EN', 'DB0101EN', 'DS0103EN', 'SC0105EN', 'CB0103EN'}\n","User 1126865: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1271923: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'ML0120ENv2', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1294863: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1111747: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 887142: Recommended courses - {'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'BD0223EN', 'DS0103EN'}\n","User 1143471: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'DS0103EN'}\n","User 1092050: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'RP0105EN', 'SC0101EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 889030: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 727462: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1625299: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 271899: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1045938: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1180577: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 761540: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1507787: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 345064: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 607999: Recommended courses - {'ML0101EN', 'PY0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1411199: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1019623: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'DS0201EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1497705: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0105EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1641257: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 426277: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1571316: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1399082: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 703067: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1855847: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN'}\n","User 1164273: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'DS0321EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1349271: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'RP0101EN', 'BD0101EN', 'BD0153EN', 'DA0101EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'DS0103EN'}\n","User 1267592: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1688004: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'DS0103EN'}\n","User 1453903: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'SC0101EN'}\n","User 1179973: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1332683: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'DS0103EN'}\n","User 739646: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1355350: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CO0101EN', 'RP0105EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 203388: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 625486: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1'}\n","User 1005259: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'DB0101EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'SC0101EN'}\n","User 1714575: Recommended courses - {'ML0101EN', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'CO0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'RP0101EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN'}\n","User 1838639: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CO0101EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 619829: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 746437: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 364194: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1435065: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1229980: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'BD0133EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 484628: Recommended courses - {'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1265804: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1524666: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 600214: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 883019: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 718688: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1180109: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1004265: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'ML0122ENv1', 'DS0103EN'}\n","User 643167: Recommended courses - {'TA0105', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'CO0201EN', 'CC0103EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'SC0101EN'}\n","User 998189: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN'}\n","User 1076032: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1655079: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0120ENv2', 'CB0103EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1069780: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 943144: Recommended courses - {'TA0105', 'CC0101EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'CB0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'SC0101EN'}\n","User 1434413: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 977927: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 2074462: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 884695: Recommended courses - {'CO0101EN', 'RP0105EN', 'CB0103EN', 'ST0101EN', 'BD0123EN', 'DB0101EN', 'ML0101ENv3', 'DV0151EN', 'ML0151EN', 'ML0120ENv2', 'BD0223EN', 'SC0101EN', 'SC0105EN', 'BD0212EN'}\n","User 717332: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1616745: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1476082: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0150EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DV0101EN', 'CO0201EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 988310: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'RP0101EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'DS0103EN'}\n","User 1691612: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 784385: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DV0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 785533: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1424123: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1018224: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 396776: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1061755: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'ML0115EN', 'BD0211EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1344036: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1207973: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1395227: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 641998: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'RP0101EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1776689: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1259402: Recommended courses - {'ML0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1564139: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 663689: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1276534: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'SC0101EN'}\n","User 1587923: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 471338: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1912529: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 583245: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1228256: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1622107: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 774894: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'ML0120ENv2', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1082958: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 461359: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1092281: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 351320: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'RP0101EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'DS0103EN'}\n","User 1632349: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'ML0101ENv3', 'CC0250EN', 'CO0301EN', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'CNSC02EN', 'DS0103EN'}\n","User 1343288: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1088239: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 160015: Recommended courses - {'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1109662: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 941063: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 914921: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1308482: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 717307: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN'}\n","User 1764803: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1408128: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 189913: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 666135: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN'}\n","User 1107439: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 980498: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 613802: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'BD0115EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'BD0223EN', 'DS0103EN'}\n","User 620075: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'RP0101EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'DS0103EN'}\n","User 1360773: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 314348: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1086160: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 779505: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1803385: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 974620: Recommended courses - {'ST0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'BC0201EN'}\n","User 2000884: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 951683: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1315713: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1657304: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1339300: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'RP0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 581446: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'ML0115EN', 'DW0101EN', 'ML0151EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1759305: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1463405: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1325764: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 390213: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 181124: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 778070: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1658021: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 435858: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'DS0105EN', 'DS0201EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1864236: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CO0101EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 883395: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'BD0133EN', 'BD0143EN', 'BD0221EN', 'DA0101EN', 'BD0145EN', 'CL0101EN', 'BD0223EN', 'DS0103EN'}\n","User 1192496: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1843006: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1888188: Recommended courses - {'ST0101EN', 'CC0101EN', 'CC0150EN', 'BD0211EN', 'CO0101EN', 'DS0321EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN'}\n","User 564038: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN'}\n","User 348808: Recommended courses - {'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1138220: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'CC0201EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'ML0103EN', 'CB0105ENv1', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 794942: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1518203: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1194704: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1453424: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1517420: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1600241: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1547165: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1105350: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 518867: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 1100356: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1096927: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CL0101EN', 'DS0103EN'}\n","User 476115: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 565505: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1008900: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1672648: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 679194: Recommended courses - {'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'DA0101EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1986311: Recommended courses - {'ST0101EN', 'DS0105EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 787212: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1536959: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1864644: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 983732: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 920511: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'BD0223EN', 'DS0103EN'}\n","User 881259: Recommended courses - {'ML0101EN', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1308093: Recommended courses - {'ML0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 1044500: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 246282: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1386352: Recommended courses - {'ST0101EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 1005000: Recommended courses - {'ST0101EN', 'DS0105EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 984461: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 331334: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1554610: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1076158: Recommended courses - {'ML0101EN', 'TA0105', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 902409: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'RP0101EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1656151: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 683043: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1107312: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1320948: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1637560: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1346186: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1313389: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1046814: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 422079: Recommended courses - {'ML0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1607944: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1904245: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1061145: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1014837: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0131EN', 'DS0201EN', 'DB0151EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'SC0105EN', 'DE0205EN', 'CO0101EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1242515: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0201EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1473132: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1662401: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1922237: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'ML0115EN', 'BD0211EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1125014: Recommended courses - {'PY0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1281883: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1543054: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 759656: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1502111: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 899096: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1005934: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 556941: Recommended courses - {'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'RP0101EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'DS0103EN'}\n","User 1339442: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1086577: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1832234: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1568651: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1139255: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1364743: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'DS0103EN'}\n","User 1119439: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 769734: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1125553: Recommended courses - {'ML0101EN', 'PY0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'ML0101ENv3', 'BD0133EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'RP0101EN', 'BD0145EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 717728: Recommended courses - {'ML0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 85625: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'DB0101EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1145420: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 985744: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 614638: Recommended courses - {'ML0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 277197: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1832901: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 1515909: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1744047: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1552450: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1496193: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1461811: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 413286: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1227873: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1808215: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1204117: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1028691: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0211EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1139258: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1107323: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 933539: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 777203: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 786282: Recommended courses - {'ML0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1368592: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 284008: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 884576: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1227916: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1301573: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1720300: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1009985: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'DS0105EN', 'BD0131EN', 'DS0201EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 403839: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'RP0101EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1067028: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1699356: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1360399: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1085199: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1231465: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1687045: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1131796: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'DS0103EN'}\n","User 629108: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1768789: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 666633: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 671203: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1637328: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 518515: Recommended courses - {'PY0101EN', 'BD0123EN', 'CC0101EN', 'DB0151EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'BD0223EN', 'DS0103EN'}\n","User 1133967: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1369842: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1433282: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1574834: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1155304: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1357226: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CO0101EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1128878: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 666770: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'CC0101EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DB0101EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 573047: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 1650969: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1675314: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1103515: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 984164: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 343800: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 376785: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'CO0401EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1167861: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 784286: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1072153: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'BC0202EN', 'DS0301EN', 'CC0250EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1020974: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 978391: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 885498: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN'}\n","User 1522374: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'CNSC02EN', 'DS0103EN'}\n","User 1482567: Recommended courses - {'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'LB0103ENv1', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1578344: Recommended courses - {'ML0101EN', 'TA0105', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1305655: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'SC0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 792854: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1871037: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1525360: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'DS0321EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1323058: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1126377: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 1013489: Recommended courses - {'PY0101EN', 'ST0101EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1356003: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1051348: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 435578: Recommended courses - {'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'RP0101EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1060120: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 931209: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0150EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1011733: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 542454: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'TA0105EN', 'ML0101ENv3', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'ML0122ENv1', 'SC0101EN'}\n","User 696085: Recommended courses - {'ML0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'ML0151EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 559369: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1560987: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1454545: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 912100: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1117875: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'DS0103EN'}\n","User 1016704: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1079714: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 109915: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1944533: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 2012017: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0201EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'DS0103EN'}\n","User 887665: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1074342: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'CNSC02EN', 'DS0103EN'}\n","User 1485705: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'RP0105EN', 'SC0101EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1468344: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1828981: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CO0101EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 529858: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 646991: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1071340: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'ML0115EN', 'BD0211EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 1856259: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1916042: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1665194: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1113053: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CL0101EN', 'DS0103EN'}\n","User 739825: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CC0103EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1935753: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1929807: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1456410: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1452402: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 783842: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1570208: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1855220: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1730913: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'CO0401EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 911976: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 682652: Recommended courses - {'PY0101EN', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1578616: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'DS0105EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'RP0105EN', 'SC0101EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 686896: Recommended courses - {'ML0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 771772: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 741200: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1431506: Recommended courses - {'PY0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 988543: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 956675: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1396267: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 978279: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 917017: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1151828: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1049471: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'BD0223EN', 'DS0103EN'}\n","User 1730573: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1380474: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'RP0105EN', 'SC0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 979599: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1858250: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1139362: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 921445: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 1679018: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'BD0111EN', 'BC0202EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 896192: Recommended courses - {'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'CNSC02EN', 'DS0103EN'}\n","User 704583: Recommended courses - {'PY0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 161471: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'RP0105EN', 'SC0101EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 896335: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 2000341: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 373076: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'DS0101EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1699606: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1239926: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1132916: Recommended courses - {'ML0101EN', 'PY0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 606214: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1545628: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1238107: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1499966: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1919984: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1063521: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 2056704: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 762066: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'ML0103EN', 'DA0101EN', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1304559: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1717303: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0101EN', 'BD0153EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1799705: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CO0101EN', 'DS0321EN', 'DS0101EN', 'CO0201EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 720149: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 503291: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1234087: Recommended courses - {'ML0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 646861: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'RP0101EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1194859: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 889265: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'ML0115EN', 'BD0211EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 1616648: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1196755: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1328233: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 911789: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'DS0105EN', 'DS0201EN', 'DB0151EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1897898: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 673206: Recommended courses - {'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 937026: Recommended courses - {'ML0101EN', 'PY0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 1493943: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1194346: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1000886: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'ML0120ENv2', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1889420: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1978886: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'BD0101EN', 'DA0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1627236: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'DS0321EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'DS0103EN'}\n","User 732897: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'ML0103EN', 'RP0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1287646: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1124048: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 676317: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 486201: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 506202: Recommended courses - {'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 645459: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 942261: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1278965: Recommended courses - {'ST0101EN', 'DS0105EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'BC0201EN', 'DS0103EN'}\n","User 891366: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1955349: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 371091: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1664399: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1431881: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 1840749: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 746547: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1781984: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'DS0105EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1496810: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1578866: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 926743: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1887480: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 609064: Recommended courses - {'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 728302: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1646441: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'CO0101EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'DS0103EN'}\n","User 731074: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 2032910: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1911140: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1256661: Recommended courses - {'PY0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN'}\n","User 1870948: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CO0201EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'LB0105ENv1', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1007060: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'CO0401EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'CC0210EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'LB0105ENv1', 'DB0101EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1758996: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 720259: Recommended courses - {'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'DS0101EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 884472: Recommended courses - {'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1116126: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 1121636: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 576397: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1907898: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'RP0105EN', 'DS0321EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1390057: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1021071: Recommended courses - {'ML0101EN', 'TA0105', 'ST0101EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'DV0101EN', 'ML0109EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'SC0101EN'}\n","User 625223: Recommended courses - {'ML0101EN', 'TA0105', 'DS0105EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'DW0101EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'ML0109EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'CC0103EN', 'WA0101EN', 'BD0111EN', 'TA0105EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'ML0120ENv2', 'DB0101EN', 'CB0103EN', 'RP0101EN', 'ML0103EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'ML0122ENv1', 'DS0103EN'}\n","User 1830259: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'SC0101EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 676094: Recommended courses - {'ML0101EN', 'PY0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'ML0103EN', 'BD0145EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 1076538: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'SC0101EN'}\n","User 1871214: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'SC0101EN'}\n","User 1474724: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'ML0103EN', 'BD0145EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1344813: Recommended courses - {'ML0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'BD0121EN', 'BD0141EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1847555: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1669829: Recommended courses - {'ML0101EN', 'TA0105', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'DS0105EN', 'DB0151EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'CP0101EN', 'BC0101EN', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 481658: Recommended courses - {'ML0101EN', 'PY0101EN', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DS0105EN', 'ML0115EN', 'BD0115EN', 'BD0211EN', 'SC0105EN', 'SC0101EN', 'CO0101EN', 'RP0105EN', 'DS0101EN', 'ML0120EN', 'BD0212EN', 'WA0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'BD0133EN', 'DS0301EN', 'DB0101EN', 'BD0143EN', 'BD0221EN', 'BD0153EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CL0101EN', 'SC0103EN', 'BD0223EN', 'DS0103EN'}\n","User 1341273: Recommended courses - {'ST0101EN', 'DS0105EN', 'CC0101EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'DS0321EN', 'DV0101EN', 'DS0101EN', 'CC0210EN', 'CC0103EN', 'LB0103ENv1', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'LB0105ENv1', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'BD0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN', 'DS0103EN'}\n","User 884271: Recommended courses - {'ML0101EN', 'PY0101EN', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'BD0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'SC0101EN', 'DV0101EN', 'BD0121EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'LB0101ENv1', 'CP0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'ML0103EN', 'DA0101EN', 'BD0145EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n","User 1868084: Recommended courses - {'PY0101EN', 'ST0101EN', 'DS0105EN', 'CC0150EN', 'ML0115EN', 'BD0211EN', 'CO0401EN', 'CC0201EN', 'DS0321EN', 'DV0101EN', 'CO0201EN', 'CC0103EN', 'ML0201EN', 'WA0101EN', 'LB0101ENv1', 'BD0111EN', 'BC0101EN', 'BC0202EN', 'ML0101ENv3', 'LB0107ENv1', 'DS0301EN', 'CC0250EN', 'CO0301EN', 'CB0103EN', 'RP0101EN', 'DA0101EN', 'CB0105ENv1', 'CL0101EN', 'BC0201EN'}\n","User 630511: Recommended courses - {'ML0101EN', 'TA0105', 'RP0103', 'ST0101EN', 'BD0123EN', 'BD0131EN', 'CC0101EN', 'DB0151EN', 'DS0105EN', 'DS0201EN', 'ML0115EN', 'DV0151EN', 'ML0151EN', 'BD0211EN', 'CO0401EN', 'SC0105EN', 'DE0205EN', 'CC0201EN', 'CO0101EN', 'DS0321EN', 'RP0105EN', 'DV0101EN', 'ML0109EN', 'BD0141EN', 'DS0101EN', 'ML0120EN', 'CO0201EN', 'BD0212EN', 'CC0103EN', 'DAI101EN', 'WA0101EN', 'LB0101ENv1', 'CP0101EN', 'BC0101EN', 'ML0101ENv3', 'PA0101EN', 'DS0301EN', 'CC0250EN', 'DB0101EN', 'ML0120ENv2', 'CO0301EN', 'CB0103EN', 'BD0221EN', 'BD0101EN', 'DA0101EN', 'BD0145EN', 'ML0103EN', 'RP0101EN', 'CB0105ENv1', 'CL0101EN', 'SC0103EN', 'BC0201EN', 'ML0122ENv1', 'CNSC02EN', 'DS0103EN'}\n"]}],"source":["## WRITE YOUR CODE HERE\n","\n","## - For each user, first finds its cluster label\n","\n","    ## - First get all courses belonging to the same cluster and figure out what are the popular ones (such as course enrollments beyond a threshold like 100)\n","    \n","    ## - Get the user's current enrolled courses\n","    \n","    ## - Check if there are any courses on the popular course list which are new/unseen to the user. \n","    \n","    ## If yes, make those unseen and popular courses as recommendation results for the user\n","\n","# Define a function to generate course recommendations for each test user\n","def generate_course_recommendations(test_users_labelled, courses_cluster_grouped, enrollment_threshold=10):\n","    # Initialize an empty dictionary to store recommendations for each user\n","    recommendations = {}\n","\n","    # Iterate through each test user\n","    for user_id in test_users_labelled['user'].unique():\n","        # Filter the DataFrame to get information about the current user\n","        user_subset = test_users_labelled[test_users_labelled['user'] == user_id]\n","        \n","        # Get the enrolled courses of the current user\n","        enrolled_courses = set(user_subset['item'])\n","        \n","        # Get the cluster label of the current user (assuming all entries have the same cluster label for a user)\n","        cluster_id = user_subset['cluster'].iloc[0]\n","        \n","        # Get all courses belonging to the same cluster as the current user\n","        cluster_courses = set(courses_cluster_grouped[courses_cluster_grouped['cluster'] == cluster_id]['item'])\n","        \n","        # Find new/unseen courses to the user by taking a set difference\n","        unseen_courses = cluster_courses.difference(enrolled_courses)\n","        \n","        # Filter popular courses among unseen courses based on enrollment threshold\n","        popular_unseen_courses = set(courses_cluster_grouped[\n","            (courses_cluster_grouped['cluster'] == cluster_id) & \n","            (courses_cluster_grouped['item'].isin(unseen_courses)) & \n","            (courses_cluster_grouped['enrollments'] >= enrollment_threshold)\n","        ]['item'])\n","        \n","        # Add the recommended courses to the dictionary\n","        recommendations[user_id] = popular_unseen_courses\n","    \n","    return recommendations\n","\n","# Generate course recommendations for each test user\n","recommendations = generate_course_recommendations(test_users_labelled, courses_cluster_grouped)\n","\n","# Display recommendations for the first few users\n","for user_id, recommended_courses in recommendations.items():\n","    print(f\"User {user_id}: Recommended courses - {recommended_courses}\")\n"]},{"cell_type":"markdown","id":"8163236d-ad9f-4e24-8a41-83591bc02e1f","metadata":{},"source":["<details>\n","    <summary>Click here for Hints</summary>\n","    \n","* First of all, create a `user_subset` of  `test_users_labelled` where `test_users_labelled['user'] == user_id`. \n","* Get the enrolled courses by  simply accessing `['item']` column of `user_subset`\n","* Find its cluster label by accessing `['cluster']` column of `user_subset`. You can just use the first one (`.iloc[0]`) since every value in the column is the same for an individual user.\n","* You can find all courses in the same cluster, by simply accessing `['item']` column of a subset of `test_users_labelled` where `test_users_labelled[test_users_labelled['cluster'] == cluster_id]`\n","* You can find new/unseen courses to the user by taking a set difference between courses in cluster and enrolled_courses by using `.difference` method (dont forget to convert 2 lists in to sets before calling the method). \n","* Use `courses_cluster` data set to find popularity of new/unseen courses and make unseen and popular courses as recommendation results for the user\n","    \n","</details> \n"]},{"cell_type":"markdown","id":"3ea43eae-6616-438e-9280-d10106320e26","metadata":{},"source":["With the recommendation results, you also need to write some analytic code to answer the following two questions:\n"]},{"cell_type":"markdown","id":"73a74bb2-1499-484f-b29e-5bd9772219eb","metadata":{},"source":["- On average, how many new/unseen courses have been recommended to each user?\n","- What are the most frequently recommended courses? Return the top-10 commonly recommended courses across all users.\n"]},{"cell_type":"markdown","id":"4b75da8f-ac93-4f35-9e4a-55e52caf0419","metadata":{},"source":["For example, suppose we have only 3 test users, each user receives the following recommendations:\n"]},{"cell_type":"markdown","id":"adfc65d7-4325-4c80-b3bb-694bbc5801d7","metadata":{},"source":["- User1: ['course1', 'course2']\n","- User2: ['course3', 'course4']\n","- User3: ['course3', 'course4', 'course5']\n"]},{"cell_type":"markdown","id":"54feeaba-f7cf-4d61-a18f-a74ac924d856","metadata":{},"source":["Then, the average recommended courses per user is $(2 + 2 + 3) / 3 = 2.33$. The top-2 recommended courses are: `course3`: 2 times, and `course4`: 2 times.\n"]},{"cell_type":"markdown","id":"c98ce785-f30c-4274-9e43-8a257ad151f1","metadata":{},"source":["Note that the answers will depend on how you compute the popular courses for each cluster. A lower threshold yields more recommended courses but with smaller confidence so that some test users may receive very long course recommendation lists and feel overwhelmed. \n","\n","Ideally, we should limit the maximum course recommendations for each user to be less than 20 courses per user.\n"]},{"cell_type":"markdown","metadata":{},"source":["To answer the questions, we can use the recommendations dictionary generated earlier. Let's calculate the average number of new/unseen courses recommended to each user and identify the top-10 most frequently recommended courses across all users."]},{"cell_type":"code","execution_count":52,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Average recommended courses per user: 36.587\n","Top-10 most frequently recommended courses:\n","Course: WA0101EN, Recommended 864 times\n","Course: DB0101EN, Recommended 857 times\n","Course: DS0301EN, Recommended 856 times\n","Course: CL0101EN, Recommended 852 times\n","Course: ST0101EN, Recommended 800 times\n","Course: CO0101EN, Recommended 783 times\n","Course: RP0101EN, Recommended 773 times\n","Course: CC0101EN, Recommended 769 times\n","Course: DB0151EN, Recommended 741 times\n","Course: ML0120EN, Recommended 738 times\n"]}],"source":["from collections import Counter\n","\n","# Calculate the average number of new/unseen courses recommended to each user\n","total_users = len(recommendations)\n","total_recommendations = sum(len(rec_courses) for rec_courses in recommendations.values())\n","average_recommendations_per_user = total_recommendations / total_users\n","\n","print(\"Average recommended courses per user:\", average_recommendations_per_user)\n","\n","# Identify the top-10 most frequently recommended courses across all users\n","all_recommendations = [rec_course for rec_courses in recommendations.values() for rec_course in rec_courses]\n","recommended_courses_count = Counter(all_recommendations)\n","top_10_recommendations = recommended_courses_count.most_common(10)\n","\n","print(\"Top-10 most frequently recommended courses:\")\n","for course, count in top_10_recommendations:\n","    print(f\"Course: {course}, Recommended {count} times\")\n"]},{"cell_type":"markdown","id":"24605cb1-30b0-4004-b2c7-3cc23d92902a","metadata":{},"source":["### Explore other clustering algorithms\n"]},{"cell_type":"markdown","id":"01a5db7c-b623-4958-8be1-5f6c90f6f886","metadata":{},"source":["As you have learned in previous unsupervised learning course, there are many other clustering algorithms such as `DBSCAN` and `Hierarchical Clustering`. You are encouraged to try them on the user profile feature vectors and compare the results with K-means.\n"]},{"cell_type":"markdown","id":"dd555704-bd56-47ae-9230-34ce5d95012e","metadata":{},"source":["### Summary\n"]},{"cell_type":"markdown","id":"15122244-6a07-46f1-aa2d-7700a07a25ef","metadata":{},"source":["Congratulations! In this lab, you have applied clustering algorithms to group users with similar interests and also tried PCA to reduce the dimensions of user feature vectors.\n","\n","Furthermore, with each user finding its learning interest group, you have also implemented clustering-based course recommender system to make recommendations based on his/her group members' popular courses choices.\n"]},{"cell_type":"markdown","id":"1fff0fdf-a54f-4ba6-ac35-1b72135b1e6a","metadata":{},"source":["## Authors\n"]},{"cell_type":"markdown","id":"a85fdc03-c9cb-41a0-a003-9b2243623c76","metadata":{},"source":["[Yan Luo]((https://www.linkedin.com/in/yan-luo-96288783/)\n"]},{"cell_type":"markdown","id":"88e7ff13-8f84-4d71-8041-e51f1513246a","metadata":{},"source":["### Other Contributors\n"]},{"cell_type":"markdown","id":"fd465e76-16b0-4d45-a24b-7a52f26ffecb","metadata":{},"source":["```toggle## Change Log\n","```\n"]},{"cell_type":"markdown","id":"2ee3abc6-8721-441e-b776-bbe16011fe35","metadata":{},"source":["```toggle|Date (YYYY-MM-DD)|Version|Changed By|Change Description|\n","```\n","```toggle|-|-|-|-|\n","```\n","```toggle|2021-10-25|1.0|Yan|Created the initial version|\n","```\n"]},{"cell_type":"markdown","id":"11a12027-f926-46d4-a8bd-18639481a921","metadata":{},"source":["Copyright © 2021 IBM Corporation. All rights reserved.\n"]}],"metadata":{"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.12.2"},"prev_pub_hash":"d899978db1581db63031f0140d51fc0351b0ebb9ee7f1bb3ee56c5d7120a34ff"},"nbformat":4,"nbformat_minor":4}