After successful completion of the course, students are able to are able to name and explain different tools, languages, and methods in answer-set programming, as well as to correctly argue theoretical relations.

- A quick introduction to Answer-Set Programming (ASP).
- Methodology and workflow for ASP in practical applications.
- Overview of ASP tools and solvers, including strengths and weaknesses.
- State-of-the-art solving techniques to tackle industrial-sized applications (lazy-grounding, domain-specific heuristics, etc).
- Methods for minimizing problem complexity (syntactic restriction, abstraction, symmetry-breaking, order imposing, etc).
- Further (non-technical) problems to expect in practice.
- Application of learned knowledge in a small, industrial application project (praktisches Projekt) on real data from industry.

Classroom lecture and exercises including a practical project.

Note: In case Covid-19 measures make it necessary the lecture will be switched to distance learning (lectures and exercises as live meetings in Big Blue Button or Zoom).

Didactic approach:
Classroom lecture with exercises and practical project.


ECTS breakdown:
3.0 ECTS = 75h

20h Lectures
16h Exercises
25h Practical project + presentation
14h Oral exam + preparation

Exercises (20%), realisation of a practical project together with its presentation (40%), and oral exam (40%).

Experience in knowledge representation and ASP is advantageous but not strictly necessary for successful participation.