In this seminar, students will discuss a specific AI method and its application in practice. Participants will study the theoretical foundations of the method and discuss how to apply it to data. The students will summarize all findings in a report and a presentation.
Quick Info: Master | Seminar | English | Summer Semester | 6 ECTS
| Course | Methods for AI |
|---|---|
| Chair | Institute of AI in Management |
| Lecturer | Prof. Dr. Stefan Feuerriegel |
| Assistants | Annually changing |
| Weekly Hours | Coaching sessions by individual arrangement |
| Target Group | MMT & M.Sc. BWL |
| Examination | Seminar paper and video presentation |
| 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 discuss a specific AI method and its application in practice. Participants will study the theoretical foundations of the method and discuss how to apply it to data. The students will summarize all findings in a report and a presentation.
Literature depends on the topics.