Fundamental ideas and techniques underlying the design of intelligent computer systems. Topics include intelligent agents, problem solving by searching, uncertain knowledge and reasoning, introduction to machine learning, and selected AI applications. A special focus is given to engineering use cases and applications of AI. Precludes additional credit for COMP 3106. Prerequisite(s): (ECOR 2050 or STAT 3502 or STAT 2605 or SYSC 2510), (SYSC 1006 or SYSC 2006), and third- year status in Engineering. Lectures three hours a week, laboratory/problem analysis one hour per week.
Fundamental ideas and techniques underlying the design of intelligent computer systems. Topics include intelligent agents, problem solving by searching, uncertain knowledge and reasoning, introduction to machine learning, and selected AI applications. A special focus is given to engineering use cases and applications of AI. Precludes additional credit for COMP 3106. Prerequisite(s): (ECOR 2050 or STAT 3502 or STAT 2605 or SYSC 2510), (SYSC 1006 or SYSC 2006), and third- year status in Engineering. Lectures three hours a week, laboratory/problem analysis one hour per week.
