Department of Computer Science

Data representation and computer arithmetic; logic functions and equations; description, analysis, and design of combinational and sequential circuits; functional properties of digital integrated circuits.

Data representation and computer arithmetic; logic functions and equations; description, analysis, and design of combinational and sequential circuits; functional properties of digital integrated circuits.

This graduate-level course examines the theory and design of intelligent systems with a focus on rational agents—entities that perceive their environment, reason about their goals, and take actions to maximize performance. Topics include agent architectures, knowledge representation, reasoning under uncertainty, planning, sequential decision-making, and metaheuristics. Students will participate in lectures, readings, and hands-on projects to develop and evaluate intelligent agents capable of operating effectively in complex and dynamic environments.