— Artificial Intelligence

Prerequisites & course information

Course Description: Concepts and techniques underlying the design and implementation of models of human performance on intelligent tasks. Representation of high-level knowledge structures. Models of memory and inference. Natural language and story understanding. Common sense planning and problem solving. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One open to Ph.D. students in Computer Science only; Pass Two open to graduate students in Computer Science only. Grade Mode: Letter. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One open to Ph.D. students in Computer Science only; Pass Two open to graduate students in Computer Science only. Grade Mode: Letter.