Artificial Intelligence

3 credits

This course introduces concepts and algorithms 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: CS 210 and STAT 289.*** *Note students may not receive credit for more than one of ENSE 411, CS 320, ENSE 496 AC, or ENSE 311.*