EECS 492: Intro to Artificial Intelligence

Fundamental concepts of AI, organized around the task of building computational agents. Core topics include search, logic, representation and reasoning, automated planning, decision making under uncertainty, and machine learning.

Prerequisite: EECS 281 or graduate standing. I, II (4 credits)

• Fall 2009.
• When/Where: TTh 9:00 - 10:30 am (EECS 1500)
• Professor Benjamin Kuipers (kuipers@umich.edu)
  • Office hours: T 1:00 - 2:00 pm; Th 1:30 - 2:30 pm (CSE 3741)
• GSIA: Bangxin Hu
  • Office hours: tbd
• Prerequisites: EECS 281 or graduate standing.
  • I will assume that you are very comfortable with linked-list data structures and search algorithms over graph-structured data.
• Final exam: 21 December 2009, 1:30 - 3:30 pm.

• This page may be updated from time to time.
  The relevant information is mostly in Ctools.
  • Most recent update: 8-30-09.