Vorlesung Intelligent Agents and Decision Theory
| Semester: | Sommersemester 2026 |
| Dozenten: | Prof. Dr. Andreas Geyer-Schulz; |
| Termin: | Donnerstag 09:45 - 11:15 |
| Ort: | Geb. 11.40 Raum 221 |
| SWS: | 2 |
Inhalt
ILIAS
Please also subscribe to our corresponding ILIAS course.
Veranstaltungstermine
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| Time |
Inhalt |
 |
| 23.04.2026, 09:45 - 11:15 |
|
| 30.04.2026, 09:45 - 11:15 |
|
| 07.05.2026, 09:45 - 11:15 |
|
| 21.05.2026, 09:45 - 11:15 |
|
| 11.06.2026, 09:45 - 11:15 |
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| 18.06.2026, 09:45 - 11:15 |
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| 25.06.2026, 09:45 - 11:15 |
|
| 02.07.2026, 09:45 - 11:15 |
|
| 09.07.2026, 09:45 - 11:15 |
|
| 16.07.2026, 09:45 - 11:15 |
|
| 23.07.2026, 09:45 - 11:15 |
|
| 30.07.2026, 09:45 - 11:15 |
|
Vorlesungsmaterialien
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| Inhalt |
Autor |
 |
| Introduction |
Geyer-Schulz, Andreas |
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| Intelligent Agents |
Geyer-Schulz, Andreas |
|
| Trade-offs under Certainty |
Geyer-Schulz, Andreas |
|
| Search: Linear programming for decisions under certainty |
Geyer-Schulz, Andreas |
|
| Decisions under Risk |
Geyer-Schulz, Andreas |
|
| Information Systems |
Geyer-Schulz, Andreas |
|
| Bayesian Decision Networks |
Geyer-Schulz, Andreas |
|
| Inference in Bayesian Networks |
Geyer-Schulz, Andreas |
|
| Learning in Bayesian Networks. Basics |
Geyer-Schulz, Andreas |
|
| Learning in Bayesian Networks. Algorithms |
Geyer-Schulz, Andreas |
|