Artificial Intelligence. ((3 Credits))

Catalog description

Prerequisite(s): Acceptance into a graduate program, or approval of the graduate program director. Presents foundational AI algorithms. Explores state space search, local search, adversarial search, constraint satisfaction problems, logic and reasoning, expert systems, Markov Models, Bayesian networks, particle filters, planning, reinforcement learning, and multilayer perceptrons. Studies practical implementations of AI algorithms.