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 winter semester 2025/26
AI & Digitization
This module offers TUM students a comprehensive introduction to prompt and bot engineering for text generation with large language models (LLMs). Combining practical skills in prompt engineering with a focus on legal, ethical, and societal implications, the course covers topics such as prompt effectiveness, responsible deployment, human-computer interaction, and intellectual property issues.
Detailed information and registration in TUMonline:
In this module, students will gain a deep understanding of how to align generative AI systems with societal values, focusing on fairness, accountability, and transparency. Through hands-on experience, they will learn to identify and mitigate biases in AI models, while developing the skills to balance innovation with ethical responsibility in real-world applications.
Detailed information and registration in TUMonline:
The seminar examines AI’s transformative potential for business and society by exploring its unique relationship with language and meaning. We’ll draw on philosophical insights concerning key concepts such as digital, data, text, information, model, digitization, and computation, examining their relationship with interpretation, understanding, emotional experience, and other dimensions of lived experience. Some of our discussion of AI’s impact on work, society, and the ethical challenges it presents will be joined by employees of Europe’s largest IT company, SAP, and others at the forefront of business AI.
This module helps students explore how digital data shapes the world around us and how to think critically about the way data is collected, analyzed, and used. Students will look at big questions like what data really tells us, how it can be used to understand or even change society, and how tools like data visualization and modeling fit into data-driven decision-making.
Detailed information and registration in TUMonline:
The aim of the course is to acquire intellectual tools to ask critical questions about the role of gender as a social category in scientific and technological knowledge production. The seminar begins by exploring the performativity of scientific research on construction of the notion of gender. We then turn to a series of well-developed gender concepts such as technofeminism, and intersectionality to understand the recent scholarship in Gender Studies as well as Science and Technology Studies.
This module offers a comprehensive understanding of open science principles, including open access, research data, and open-source projects, with a focus on democratizing knowledge. Through hands-on activities and case studies, you’ll gain practical skills to apply open science practices in your future career, contributing to a more inclusive and accessible knowledge economy.
Detailed information and registration in TUMonline:
The seminar explores philosophical questions about contemporary Generative Artificial Intelligence (GenAI), focusing on Large Language Models (LLMs). While technically well understood, it is little understood how they can generate text that is relevant and meaningful to humans. The secret lies in their processing of the patterns of human language use in training text corpora. We discuss
- (1) what LLMs extract from text corpora and
- (2) the relationship between language use and meaning.
The module covers the following topics:
- Data Governance Act: Data sharing; Data altruism; Data intermediaries
- Data Act: Access to data; cloud switching; interoperability
- GDPR & Foundations: policy, fundamental rights, history and relevance; Scope; Data subjects, controller, Joint controller, processors, third parties; Principles; Principle of Lawfulness; Data subject rights; Obligations of controllers und processors; Third country transfers; Enforcement, remedies, liability authorities, damages. Data protection legislation for specific sectors and conflicts
Detailed information and registration in TUMonline:
The AI strategy involves analyzing business models, tech platforms, and ecosystems to scale AI solutions effectively. Key success factors include talent development, leadership structures, and responsible handling of regulatory and ethical requirements. Practical GenAI use cases highlight real-world applications, impact measurement, and lessons learned from transformation projects