| Lecturer | Prof. Dr. Alexander Benlian |
| Supervisor |
Sebastian Bartsch
Jan-Hendrik Schmidt |
| Course format | Seminar |
| Target group | Students of business informatics and business engineering |
| Cycle | The course takes place every summer semester. |
| Documents |
The documents are freely available on Moodle. |
Important Note
- Kick-off: 17.04.2024, 16:00 – 17:30, Room: S103/12
- Workshop Mastering Scientific Writing and Methodology: 07.05.2024, 09:00 – 12:00, Room: S103/23
- Interim Presentations: 22.05.2024, 15:30-18:30, Room S103/015
- Submission of Seminar Papers: 03.07.2024, until 12 noon by E-Mail
- Final Presentations: 10.07.2024, 16:00-18:00, Room: S103/125
Course Content
- Analysis of selected issues related to AI-based information systems such as Symbolic AI, Explainable AI, AI-based Anonymization and Synthetization of Data, Digital Nudging, Predictive Monitoring, Anomaly Detection
- Practical cooperation with ING for the application of theoretical knowledge in practice
Learning Outcomes
In the course of the seminar, students will
- learn the most important terms and technical basics of processes and methods, which can be used to understand the results and outputs generated by AI algorithms.
- apply the acquired theoretical knowledge practically by preparing and executing a real-world use case in collaboration with ING, evaluating and interpreting the obtained data.