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School of
Electrical Engineering
and Computer Science

Artificial intelligence, 6 credits

Course homepage

The course gives a broad overview of the problems and methods studied in the field of artificial intelligence.

The following areas will be treated in the course: problem solving with search algorithms, heuristics and games, knowledge representation (logic), representing uncertain knowledge and reasoning (Bayesian networks), decision and utility theory, and machine learning. Examples of using artificial intelligence methods in computer vision, robotics, etc will be given.

For previous years see old pages.

Copyright © Published by: Patric Jensfelt <patric@nada.kth.se>
Updated 2013-08-24