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Introduction to Algorithms (2005)

By Prof. Erik Demaine Prof. Charles Leiserson

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This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing.

Customer Reviews

Good for self-study/review

One more thing: if you keen to start straight away, in Lecture 01, just jump to 17:11 which will lead you to the real content of the course. The first 17 minutes are used for the lecturer to talk about the course credit and exam etc.

Great supplement

If you've tried reading "Introduction to Algorithms" and felt lost at any point, this is a fantastic series to really hammer home some of the concepts.


What a fanastic resource, even for OCW! I love the course structure, and Erik rocks (try the skip lists lecture). The only complaint I have is that the audio is mixed horribly low. Although the board is perfectly legible on my iphone, it's nearly impossible to listen to on a bus or train.

Introduction to Algorithms (2005)
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  • Free
  • Category: Technology
  • Language: English

Customer Ratings