Explainable AI – Practial Applications in Finance

Here you can find information about the course "Explainable AI – Practial Applications in Finance".

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.