An Introductory course on Artificial Intelligence and Machine Leaning for graduate students without a background in Computing. Includes fundamental concepts in AI, state space search, knowledge representation, intelligent agents, problem solving, planning, decision making, robotics, natural language processing, computer vision, embodied and situational cognition, machine intelligence, statistical modeling, clustering, prediction, and artificial neural networks.
PREQUISITES: a 100-level math course; some programming experience; permission of the School
EXCLUSIONS: CISC 352, CISC 452, CISC 453, CISC 856, CISC 867