| INFMW Artificial Intelligence | Course | INF | |
|---|---|---|---|
| Lecturers : |
Dipl.-Inform. Ingo Boersch
eMail
Prof. Dr. Emanuel Kitzelmann eMail |
Term | 2 |
| Course Classification : | Master Informatik (Winter-Immatrikulation) | CH | 4 |
| Language : | Deutsch | Type | VÜS |
| Type of examination : | PL | Credits | 6 |
| Method of evaluation : | written examination 120 min | ||
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| Aids and special features : | Mode of assessment Pass at course examination Graded: yes Continuous Evaluation for assignments. Overall grade is the course examination grade. | ||
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| Contents : |
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| 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 | ||