CS 2710 FOUNDTNS OF ARTIFICIAL INTELLGNC

This course covers the foundational techniques in artificial intelligence, including: problem definition and analysis, heuristic search, adversarial search, knowledge representation, planning and constraint satisfaction, and methods for reasoning under uncertainty. Attention will be given to the roles of these techniques in the design of intelligent agents.

Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Course Requirements: PLAN: Computer Science (CS-PHD; CS-MS; CSMSBS-MS) or Computer Engineering (COEAS-PHD; COEAS-MS; COEENG-PHD; COEENG-MCO)
Minimum Credits: 3
Maximum Credits: 3

Current Sections

Fall 2022

Class No.DaysTimesRoomInstructor(s)TA(s)Type
15617 (1050)TuTh1:00 pm - 2:15 pmSENSQ 6110M. Hauskrecht
LEC