| Detailinformationen |
| Quellcurriculum |
Masterstudium Artificial Intelligence 2022W |
| Ziele |
(*)Students have practical experience in logic programming with Prolog and are able to handle logic-based database query languages such as Datalog. They can employ inductive logic programming and relational learning algorithms such as Foil or Progol on practical problems.
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| Lehrinhalte |
(*)Prolog, Datalog, Practical Logic-Based Learning algorithms (Foil, Progol, Aleph)
|
| Beurteilungskriterien |
(*)Project Assignment
|
| Lehrmethoden |
(*)Practical Demonstrations, Coding Assignments
|
| Abhaltungssprache |
Englisch |
| Literatur |
(*)Lecture Slides, Software Documentations
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| Lehrinhalte wechselnd? |
Nein |
| Sonstige Informationen |
(*)Until term 2022S known as: 993TARKKPLU21 UE Knowledge Representation and Learning
until term 2021S known as: 993TARKSAIU19 UE Symbolic AI
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| Frühere Varianten |
Decken ebenfalls die Anforderungen des Curriculums ab (von - bis)
993TARKKPLU21: UE Knowledge Representation and Learning (2021W-2022S)
993TARKSAIU19: UE Symbolic AI (2019W-2021S)
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