- Schedule of Classes - June 15, 2016 6:14PM EDT
- Course Catalog - June 9, 2016 6:15PM EDT
Course information provided by the Courses of Study 2015-2016.
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- nd- onquer, dynamic programming, and network flow), computability theory focusing on undecidability, computational complexity focusing on NP-completeness, and algorithmic techniques for intractable problems (including identification of structured special cases, approximation algorithms, and local search heuristics).
When Offered Spring, summer.
Prerequisites/Corequisites Prerequisite: CS 2800 and CS 3110.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Disabled for this roster.