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
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.
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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.
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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.
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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.
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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
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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
Detailed information and registration in TUMonline