In this seminar, students will apply AI methods on real world data to solve managerial problems. Participants will analyse the data and apply different AI methods to visualize and gain insights on their data. Students are encouraged to work in teams of two. The teams will summarize all findings in a report and a presentation.
Quick Info: Master | Seminar | English | Summer Semester | 6 ECTS
| Course | Managerial AI |
|---|---|
| Chair | Institute of AI in Management |
| Lecturer | Prof. Dr. Stefan Feuerriegel |
| Assistants | Annually changing |
| Weekly Hours | Coaching sessions by individual arrangement |
| Target Group | M.Sc. BWL |
| Examination | Seminar paper and video presentation, group work |
| Prerequisites | Sufficient programming skills required (e.g., R, Python), such as taught in one of our previous courses (e.g., AI for Managers, Introduction to AI, etc.) |
| Course Material | Course material will be shared via Moodle, students are required to self-enrol to the course through Moodle, self-enrolment key can be accessed via LSF |
| Rotation | Annual rotation, summer semester |
| Language | English |
| ECTS | 6 |
In this seminar, students will apply AI methods on real world data to solve managerial problems, such as:
Participants will analyse the data and apply different AI methods to visualize and gain insights on their data.
Students are encouraged to work in teams of two. The teams will summarize all findings in a report and a presentation.
Literature depends on the topics.