CS 2710 FOUNDATIONS OF ARTIFICIAL INTELLIGENCE (ISSP 2160)

Description

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.

  • Credits: 3
  • Frequency: At least once a year

Prerequisites

Requirements and Grading

Future Sections

To view the sections for a term, click on it's name below.

Fall 2017

Class Number Days Hours Room Instructor TA/Grader Dept/Limit Type Session Writing
17683 TH 1:00 pm - 2:15 pm SENSQ 5313 M. Hauskrecht
CS/18 LEC TERM

Past Sections

To view the sections for a term, click on it's name below.

Fall 2016

Class Number Days Hours Room Instructor TA/Grader Dept/Limit Type Session Writing
18015 TH 1:00 pm - 2:15 pm SENSQ 5313 R. Hwa
C. Liu
CS/18 LEC TERM