The students will learn about current advanced methods, techniques, and algorithms in artificial intelligence. In seminar components, students will independently explore these topics using current (research) literature.

The students will evaluate the learned methods in terms of their performance and apply them to practical problems.
 

Changing advanced topics from research and applications in artificial intelligence, such as:

• Deep Reinforcement Learning
• Process Mining
• Explainable AI
• Multimodal Generative AI
• AI and Security
• Program Synthesis
• Edge AI
• ...
   

Literature will be announced during the course.

Work in small groups and in plenary sessions, utilizing mixed media

English

PL

written exam

6

4