Artificial Intelligence

Catalog description

An introduction to the broad spectrum of approaches and techniques of Artificial Intelligence, such as search and planning problems, basic machine learning, Markov decision processes, reinforcement learning, Bayesian networks, propositional and first-order logic, and potentially introduction to deep learning. Prerequisite(s): grade of C or better in A MAT 220 or I CSI 311; A MAT 367 or A MAT 370, I CSI 401 and I CSI 403.