IE 560 Foundations of Artificial Intelligence – Reasoning and Decision Making (HWS 2025)
This course provides a foundational introduction to the principles and methods underlying artificial intelligence, with a focus on reasoning and decision making. The course covers the following topics:
- Logic-based knowledge representation and reasoning
- Probabilistic graphical models for reasoning under uncertainty
- Decision theory and rational decision making
- Markov Decision Processes
- Reinforcement Learning
Dates
Lecture: Video lectures are available.
Exercise:
- Monday 13:45 – 15:15, A5, C015
- Monday 15:30 – 17:00, B6, A101
Assessments
Written examination.
Instructors
- Lea Cohausz (Tutorials)
Slides and Excercises
See the ILIAS page for slides, dates and further information.
Literature
- S. Russel and P. Norvig: Artificial Intelligence – A modern Approach. Pearson 2013. (selected chapters)
- R. S. Sutton and A. G. Barto: Reinforcement Learning – An Introduction (selected chapters)