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syllabus.rtf
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syllabus.rtf
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{\rtf1\ansi\ansicpg1252\cocoartf1187\cocoasubrtf340
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\f0\fs22 \cf0 DLCL 202, Spring 2013\
SYLLABUS\
\
Week 1: What is data and where does it come from ? \
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\cf0 We will learn about data formats and encoding. Then we will get some data and create a repository in Github. \
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\cf0 Week 2: Evaluate your data.\
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\cf0 Introduction to Google Refine: what it is and what it isn't. We'll go through the import process, learn top-level commands including Find/Replace. You'll commit your data to your Github repository and document the changes.\
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\cf0 Week 3: Filtering and Faceting\
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\cf0 We'll learn how to create and work with subsets of data in Google Refine. We'll gather statistics about the data set and document this in Github.\
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\cf0 Week 4: The Shape of the Data\
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\cf0 We'll use Tableau to organize the data in a timeline, on a map, etc. and post the resulting graphs to our Github wiki.\
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\cf0 Week 5: Advanced data enrichment\
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\cf0 We'll learn advanced features of Google Refine for enriching and "cleaning" data.\
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\cf0 Week 6: Collaborate\
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\cf0 We'll make use of Github's collaboration tools to work as teams or contribute to each other's projects.\
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\cf0 Week 7: Take control of your visuals\
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\cf0 Learn how to export SVG from Tableau or Gephi and create a print-ready graphic with svg editing tools.\
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\cf0 Week 8: Publish to the web\
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\cf0 We will use Github's project pages to publish and share the results of the project.\
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\cf0 Week 9: Presentations \
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\cf0 \
}