[ 993TASMKPLU22 ] UE Knowledge Representation and Learning

Workload Education level Study areas Responsible person Hours per week Coordinating university
1,5 ECTS M1 - Master's programme 1. year (*)Artificial Intelligence Johannes F├╝rnkranz 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Artificial Intelligence 2023W
Objectives 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.
Subject Prolog, Datalog, Practical Logic-Based Learning algorithms (Foil, Progol, Aleph)
Criteria for evaluation Project Assignment
Methods Practical Demonstrations, Coding Assignments
Language English
Study material Lecture Slides, Software Documentations
Changing subject? No
Earlier variants They also cover the requirements of the curriculum (from - to)
993TARKKPLU21: UE Knowledge Representation and Learning (2021W-2022S)
993TARKSAIU19: UE Symbolic AI (2019W-2021S)
On-site course
Maximum number of participants 35
Assignment procedure Direct assignment