Probabilistic Reasoning in AI (COMP-526)

Winter 2004


General Information

Where: Burnside Hall, Room 1B24.

When: Monday, Wednesday, Friday, 1:35-2:25pm.

What: One of the primary goals of AI is the design, control and analysis of agents or systems that behave appropriately in a variety of circumstances. Good decision making often requires the existence of knowledge or beliefs about the agent's environment, as well as about its own abilities to observe and change the environment, and about its own goals and preferences. In this course we will examine computational approaches for modeling the environment and solving decision problems. We will focus mainly on probabilistic models of reasoning, and on sequential decision making.

The course is intended for advanced undergraduate students and for graduate students, and will provide an introduction to the on-going research in the field of reasoning under uncertainty, which has been very active during the last decade. We will cover the following topics:


Doina Precup
School of Computer Science

Office: McConnell 326

Office Hours:

  • Wednesday, 2:30-4:00pm
  • Friday, 2:30-3:00pm.
  • Meetings at other times by appointment only

    Phone: 398-6443


    IMPORTANT: E-mail is the quickest way to reach me and get your questions answered.

    Teaching assistant

    Rohan Shah

    Office Hours: Monday and Friday, 4-5pm, McConnell 112. Meetings at other times by appointment only



    1. Textbooks:
    2. Lecture notes and other relevant materials are available on this web page.

    Doina PRECUP
    Last modified: Tue Apr 13 11:57:29 EDT 2004