Inhalt
[ 993TARKSAIU19 ] UE Symbolic AI
|
|
|
|
 |
| Workload |
Education level |
Study areas |
Responsible person |
Hours per week |
Coordinating university |
| 1,5 ECTS |
M1 - Master's programme 1. year |
Computer Science |
Johannes Fürnkranz |
1 hpw |
Johannes Kepler University Linz |
|
|
|
| Detailed information |
| Original study plan |
Master's programme Artificial Intelligence 2019W |
| 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 |
|
|
|
| On-site course |
| Maximum number of participants |
35 |
| Assignment procedure |
Direct assignment |
|
|
|
