Introduction to Artificial Intelligence

Catalog description

An introduction to artificial intelligence (AI) and modern AI programming libraries. Basic discrete mathematics and statistics. Problem solving using uninformed, informed, local, and adversarial search algorithms. Knowledge representation, inference, and reasoning using propositional and first- order logic. Quantifying and reasoning about uncertainty with Bayesian networks and Markov decision processes. Ethical considerations of artificial intelligence. 45 hours lecture, 27 hours laboratory. Transfer: CSU. Prerequisite: CS 1 with a minimum grade of C.