Plug-in modules are used to specifically expand the range of courses that provide students with particularly innovative and interdisciplinary content – independently of the curricula of the respective degree programs. In this way, students can develop specific competencies and acquire knowledge that cannot yet be taken into account in their regular modules, deal with issues and approaches from disciplines outside their field of study, and work on interdisciplinary projects together with fellow students from other subjects.
In this project, participants will develop an AI tool that supports students throughout the writing process by providing timely feedback and suggesting alternatives.
In this course, students develop an in-depth understanding of the technologies behind Artificial Intelligence and its implications for organizations and society as a whole. Based on this, they will ideate and present their own AI use cases.
This module offers participants from all backgrounds an overview of current issues in behavioral economics and their application on current societal or environmental challenges.
A class with a start-up feel: In this course, students work in teams to develop their own entrepreneurial idea in agile, iterative cycleswith a lot of real-life feedback.
In this project, students will develop a generative model based on machine learning algorithms that can create comic book illustrations from text descriptions.
In the three-month Digital Product School, students learn to build innovative digital products that solve real-world problems and provide true value to users.
Reaching objectives with good preparation: In this course, students deal with the theoretical basics and the practice-oriented application of negotiation strategies and techniques.
Learning to lead: The course teaches the fundamental aspects of business management and their application in the practice of national and international companies.
The course takes a look at the interface between AI systems and humans and analyzes models and methods for developing interactive systems that enable a harmonious relationship between humans and AI.
In five days, students learn to develop innovative, customer-focused and impact-driven business ideas by taking on a partner's challenge in an interdisciplinary team.
In this course, participants gain insights from the practice of founders and entrepreneurs, and work on their own project to improve self-leadership.
At the Marketing Entrepreneurship Lab, students can deepen their marketing knowledge and apply it in practice: They support a start-up of their choice, for example in strategic marketing, market research or product launch.
In this seminar, students acquire a comprehensive understanding of large language models and the opportunities and challenges of applying them to mathematical problems.
In this course, students as future leaders are challenged to critically reflect on the role that personal values and principles can and should play in making difficult business decisions.
In this project, students will develop a concept that uses VR technology and AI to enable immersive experiences around Bavaria's beer heritage.
Learning by doing: In this seminar, students take on the challenge of solving a practical business problem posed by entrepreneurial partners and thus further develop their innovation skills.
Leading by coaching: In this course, students learn to build their coaching skills and practice them by helping real innovation or start-up teams with their challenges.
In this project, students explore how to adapt large language models to new tasks using contextual learning techniques without requiring parameter updates.
The course provides a practical introduction to all relevant aspects of intellectual property law, with a particular focus on university inventions.
Arcisstraße 21, Room 0144
Monday, 9 a.m. – 12 p.m.
Wednesday, 9 a.m. – 12 p.m.
Friday, 9 a.m. – 12 p.m.