ISSP 2160 FOUNDTNS OF ARTIFICIAL INTELLGNC

The principal topics of AI are: representation knowledge, reasoning and problem solving, knowledge acquisition and machine learning, robotics, and natural language understanding. This course surveys these areas in order to provide an understanding of artificial intelligence methods and research problems. Specific topics include: action and object-centered representations, the search paradigm, planning and constraint satisfaction, qualitative reasoning, analogical reasoning, default reasoning, induction, other methods of learning, and knowledge engineering.

Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Course Requirements: PLAN: Intelligent Systems (MS, PHD)
Minimum Credits: 3
Maximum Credits: 3

Current Sections

Fall 2022

Class No.DaysTimesRoomInstructor(s)TA(s)Type
15618 (1060)TuTh1:00 pm - 2:15 pmSENSQ 6110M. Hauskrecht
LEC