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Introduction to Algorithms (SMA 5503)

6.046J · Electrical Engineering and Computer Science, Mathematics · Undergraduate · Fall 2005

Prof. Charles Leiserson, Prof. Erik Demaine

MIT · Tier 1

<p>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.</p> <p>This course was also taught as part of the Singapore-MIT Alliance (…

EngineeringAlgorithms and Data StructuresComputer ScienceData Science, Analytics & Computer Technology

The syllabus, on MIT OpenCourseWare

The full course — syllabus, assigned readings, problem sets, exams, and lecture notes — lives on OCW. These open the real thing:

Attribution

Prof. Charles Leiserson, Prof. Erik Demaine. 6.046J Introduction to Algorithms (SMA 5503). Fall 2005. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.

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