Course description
In this seminar, a deeper examination of the modeling of mathematical optimization models, the embedding of artificial intelligence models, as well as the implementation and solution using relevant standard software takes place. These methods are applied in a case study. In detail, the students deal with the following topics:
- Modeling of mathematical optimization models (4 CP and 8 CP)
- Embedding of artificial intelligence models into mathematical optimization models (4 CP and 8 CP)
- Implementation and solution-finding using Python and Gurobi (4 CP and 8 CP)
- Conception and implementation of an additional forecasting model (only 8 CP)
- Working on a case study (4 CP and 8 CP)
- Evaluation and interpretation of results (4 CP and 8 CP)
- Presentation and discussion (4 CP and 8 CP)
The contents differ for the seminars with 4 CP (Bachelor and Master) and 8 CP (Master only). Master's students can take the seminar with 4 CP or 8 CP.
In the seminar with 4 CP, Bachelor's and Master's students deal with the conception and implementation of mathematical optimization models, the embedding of artificial intelligence models, and the solution using Python and Gurobi. In the seminar with 8 CP, Master's students are additionally required to develop a demand forecasting model using the methods taught and to implement it using Python. The contents of the seminar with 4 CP are identical for Bachelor's and Master's students.
