Department of Computational Perception
Department of
Computational Perception
Johannes Kepler Universitšt Linz

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Probabilistic Models

344.036, VL, 2h (3.0 ECTS), WS 2015/16

Univ.-Prof. Dr. Gerhard Widmer

Time: Tuesday, 09:15 - 10:45
Start: Tuesday, Oct. 6, 2015
Location: MT 132 (Science Park 1)

This class will be taught in English.


Here is a little set of Introduction & Motivation Slides ...

Class Objectives and Content

This course is a thorough introduction to one of the most important and central classes of methods in present-day Artificial Intelligence. It will introduce students to the basic concepts of Probabilistic Graphical Models as representations of uncertain knowledge in complex domains. All three aspects related to such models will be covered: model semantics, inference, and learning. In particular, the following topics will be covered (in more or less detail): It is *strongly* recommended to take this VO together with the "Practical Excercises in Probabilistic Models" (UE, 1h) in the same semester. There, the students will perform practical experiments with some of the methods taught in the VO.

Teaching materials

Pdf versions of the Powerpoint slides used in the lecture will be made available via KUSSS (weekly). Recommended reading (will not be needed if the lectures are attended on a regular basis):

Koller, Daphne and Friedman, Nir (2009).
Probabilistic Graphical Models: Principles and Techniques. Cambridge, MA: MIT Press.

Russell, Stuart J. and Norvig, Peter (2003).
Artificial Intelligence: A Modern Approach. Englewood Cliffs, NJ: Prentice Hall.

Questions, suggestions, complaints, etc. to

Gerhard Widmer
Tel. 0732 2468 4701

last edited by gw on Aug 17, 2015