CS 4820

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CS 4820

Course information provided by the Courses of Study 2023-2024.

Develops techniques used in the design and analysis of algorithms, with an emphasis on problems arising in computing applications. Example applications are drawn from systems and networks, artificial intelligence, computer vision, data mining, and computational biology. This course covers four major algorithm design techniques (greedy algorithms, divide-and-conquer, dynamic programming, and network flow), undecidability and NP-completeness, and algorithmic techniques for intractable problems (including identification of structured special cases , approximation algorithms, local search heuristics, and online algorithms).

When Offered Fall, Spring, Summer.

Prerequisites/Corequisites Prerequisite: CS 2800, CS 3110. 

Distribution Category (SMR-AS)

Comments Students who got an A- ​(or, when taken in Spring 2020, C- or S) or better in both CS 2800 and CS 2110 are welcome to take CS 4820 without CS 3110.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project. Combined with: CS 5820

  • 4 Credits Opt NoAud

  •  8982 CS 4820   LEC 001

    • MWF Uris Hall G01
    • Jan 22 - May 7, 2024
    • Kim, M

      Kleinberg, R

  • Enrollment open to CS students only. All others should add themselves to the waitlist during add/drop in January.

  • 16641 CS 4820   PRJ 601

    • TBA
    • Jan 22 - May 7, 2024
    • Kim, M

      Kleinberg, R