In this seminar, students will apply AI methods on real world data to solve societal 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 four. Topics are selected with a focus on having a positive impact on society. Students will summarize all findings in a report and a presentation.
Quick Info: Master | Seminar | English | Summer Semester | 6 ECTS
| Course | AI for Good |
|---|---|
| Chair | Institute of AI in Management |
| Lecturer | Prof. Dr. Stefan Feuerriegel |
| Assistants | Annually changing |
| Weekly Hours | Coaching sessions by individual arrangement |
| Target Group | MMT & Master programs at the faculty of mathematics, informatics and statistics |
| 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 address societal problems, such as:
Students are also welcome to suggest own ideas after prior coordination.
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 four. The teams will summarize all findings in a report and a presentation.
Literature depends on the topics.