Advanced Topics in Artificial Intelligence

This is an advanced undergraduate course that offers students the opportunity to study a special thematic area within the discipline of Artificial Intelligence. The topics will vary from year to year in response to emerging theoretical and practical issues in the discipline, as well as the research interests and expertise of academics and sessional staff. They will be drawn from the broad areas of Artificial Intelligence, and could include (but not limited to) the following topics: Planning, Scheduling, Games, Search, Reasoning (constraint-based, model-based, spatial, temporal), Knowledge representation, Decision-making under uncertainty, Integrated planning and learning, Reinforcement learning, and Robotics. Please see the class website for the specific topics covered in a particular semester.