Swedish

Once every semester

To give an introduction to several subdomains of artificial intelligence and to give an orientation about fundamental methods within these domains. To convey knowledge about breath and depth of the domain.

Intelligent agents. Heuristic search. Game programming. Knowledge based systems. Machine learning. Natural language. Semantic Web. Autonomous robots. Planning.

display basic knowledge concerning theories and methods related to the following subdomains: intelligent agents, heuristic search, game programming, knowledge representation, knowledge-based systems, probabilistic reasoning, machine learning, natural language processing.

complete a number of assignments based on problems related to some of the following subdomains: heuristic search, knowledge-based systems, probabilistic reasoning, machine learning, natural language processing.

demonstrate the ability to critically evaluate and compare different methods used in artificial intelligence.

Lectures

Laboratory exercises

Written exam

Failed, pass

EDAA01 Programming - Second Course

Stuart Russell, P.: Artificial Intelligence , A Modern Approach. Pearson, 2010. ISBN 0132071487.

EDAF70F

 -03-22

Professor Thomas Johansson