Artificial Intelligence

3 credits

This course introduces the basic concepts in search and knowledge representation as well as to a number of sub-areas of artificial intelligence. Intelligent agents; uninformed/blind search; informed/heuristic search; local search; adversarial search; constraint satisfaction problems; Markov decision processes; Bayesian Inference; machine learning. ***Prerequisite: Successful completion of 90 credit hours or permission of Program Chair*** *Students cannot receive credit for both ENSE 411 (ENSE 496AC) and CS 320*