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INFMS  Artificial Intelligence Course INF
Lecturers : Dipl.-Inform. Ingo Boersch    eMail
Prof. Dr. Emanuel Kitzelmann    eMail
Term 1
Course Classification : Master Informatik (Sommer-Immatrikulation) CH 4
Language : Deutsch Type VÜS 
Type of examination : PL  Credits
Method of evaluation : written examination 120 min 
Requirements :
Cross References :  
Previous knowledges :  
Aids and special features : Mode of assessment
Pass at course examination
Graded: yes
Continuous Evaluation for assignments.
Overall grade is the course examination grade. 
Teaching aims :  
Contents :

 

Literature : Skript/Folien zur Lehrveranstaltung in Moodle
Boersch I., Heinsohn J., Socher R.: Wissensverarbeitung - Eine Einführung in die Künstliche Intelligenz, Spektrum, 2. Auflage, 2007
Judea Pearl: Causality. Cambridge University Press, Cambridge, 2000
Ghallab M., Nau D., Traverso P.: Automated Planning and Acting, Cambridge University Press, 2016
R. S. Sutton und A. G. Barto. Reinforcement Learning: An Introduction. Cambridge, MA, 2018.
Ris-Ala, R.: Fundamentals of Reinforcement Learning. Springer Nature, 2023
Weitere Literatur im Rahmen der Lehrveranstaltung  


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