CS3310 Artificial Intelligence

Survey of topics and methods of Artificial Intelligence. Methods include rule-based systems, heuristic search and exploitation of natural constraints, means-ends analysis, semantic networks, and frames. Emphasis is placed on solving problems that seem to require intelligence rather than attempting to simulate or study natural intelligence. Projects to illustrate basic concepts are assigned. 

Prerequisite

One college-level course in programming.

Lecture Hours

4

Lab Hours

1

Quarter Offered

  • Fall
  • Spring