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Algorithms-Princeton-Coursera

Open Source Society University - Computer Science

Algorithms 4/e textbook

Also known as algs4 and Princeton COS 226, Algorithms on Coursera is an introductory course to fundamental data types, algorithms, and data structures, divided into two Parts.

  • Part I focuses on elementary data structures, sorting, and searching. Topics include union−find, binary search, stacks, queues, bags, insertion sort, selection sort, shellsort, quicksort, 3-way quicksort, mergesort, heapsort, binary heaps, binary search trees, red−black trees, separate-chaining and linear-probing hash tables, Graham scan, and kd-trees.

  • Part II focuses on graph and string-processing algorithms. Topics include depth-first search, breadth-first search, topological sort, Kosaraju−Sharir, Kruskal, Prim, Dijkistra, Bellman−Ford, Ford−Fulkerson, LSD radix sort, MSD radix sort, 3-way radix quicksort, multiway tries, ternary search tries, Knuth−Morris−Pratt, Boyer−Moore, Rabin–Karp, regular expression matching, run-length coding, Huffman coding, LZW compression and Burrows−Wheeler transform. Part II also introduces reductions and intractability, including the P = NP problem.

Lectures and Slides

I've compacted all the related slides into a pdf file, and added outlines (bookmarks, navigation trees, table of contents) for referencing. Available at iCloud Drive (1584 pages, 160 MB).

Programming Assignments

The algs4 Java algorithms and clients is a must to run any application. You may follow the instructions to access and import the text book library.

Assignment Checklist Code Implementation Test Output Fields of Study
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Reference

  • Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne, Addison-Wesley Professional, 2011, ISBN 0-321-57351-X.

The algs4 booksite is open to everyone and contains a wealth of supplementary information, including synopses of the textbook and Java code that you will be using throughout the course.

Copyright

All rights reserved. All video recordings, lecture slides, assessments and other materials made available in connection with this course are subject to copyright protection and may be used only for private study by persons who are enrolled in this course. Any other use of these materials must be with the express, written permission of Robert Sedgewick and Kevin Wayne.

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🎓💯 Bonus Assignments of Algorithms 4th Edition, by Robert Sedgewick and Kevin Wayne

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