Plug-in Modules
Interdisciplinary, innovative and cooperative: in plug-in modules, students work together with their peers from all schools on projects that transcend disciplinary boundaries. Thus, they develop individual talents and skills in a wide range of future-oriented fields.
Plug-in Modules in the summer semester 2025
AI & Digitization
This seminar provides hands-on training in prompt engineering and responsible AI management with Large Language Models (LLMs). Students learn practical prompting techniques while exploring ethical and legal implications of AI text generation. Through interactive sessions and real-world exercises, participants develop skills in effective prompting and responsible AI application. The 1.5-hour workshop is taught in English and requires completion of module SOT53404.
The TUMonline link for registration will be available shortly.
What role do diversity and social inequality play in the development, use and consequences of AI? The module provides skills to analyze the relationship between AI, diversity and social inequality in different areas of society. Core topics include an analysis of the contexts in which AI is produced and the role diversity plays in these contexts; a range of application areas, such as medicine, human resources, predictive policing, social media, in which diversity plays a particular role; and issues of North-South relations and global justice in relation to AI.
The TUMonline link for registration will be available shortly.
In the module, students deal with the foundations and concepts of the regulation of AI as well as the assessment of the risks and opportunities of AI applications.
The TUMonline link for registration will be available shortly.
In this seminar, students develop a critical understanding of the impact of machine learning technologies and the responsibility of users in this field.
The TUMonline link for registration will be available shortly.
This course deals with the basics of societal computing. The focus is on the ethical, social, and cultural implications of data-driven, algorithmic applications. Students will explore human-centered data to uncover patterns, test theories of societal behavior, and reflect on ethical dimensions of data analysis.
The TUMonline link for registration will be available shortly.