ECE 657AIntroduction to Artificial Intelligence

This course provides an exploration of foundational concepts and techniques in Artificial Intelligence (AI), focusing on key subfields such as search, reasoning, planning, robotics, and uncertainty modeling. Students will learn to apply techniques like uninformed and heuristic search, constraint satisfaction, game-tree search, and probabilistic reasoning using Bayesian networks and decision theory (MDPs and POMDPs). The course also introduces planning for robotics, including SLAM and motion planning, and examines ethical considerations and societal impacts of AI.