Project Weeks
Whether it’s sustainability, AI, or entrepreneurship: many of the pressing issues of our time transcend disciplinary boundaries. The Project Weeks create a framework in which students and lecturers work on innovative solutions to current problems across disciplines, curricula and locations.
Project Weeks 2025
In the winter semester 2024/25, students can work in interdisciplinary teams on future topics from the fields of AI & Digitization, Creativity & Design, Entrepreneurship, Health, Social and Sustainability in almost 40 different Project Weeks.
Registration takes place via TUMonline at the usual deadlines.
Courses in the winter semester 2024/25
AI & Digitization
Operational Problems as Challenge-based Learning of Industrial Culture
Even after completing their Master’s degree, many students have no precise idea of operational processes and cultural characteristics of industry and only limited knowledge of how and where they can best use their skills. TUM students graduating with a Master's degree have an inadequate idea of operational processes, industrial culture of companies and knowledge of opportunities where they can apply their skills. This Project Week enables student teams to get to know a real operational problem and develop solution strategies for the partner by working together with small and medium-sized enterprises (SMEs) in particular. The groups get to know operational processes and strengthen their understanding of problems such as resource limitations, communication, product development, and decision-making processes through interviews and role-playing. The Project Week concludes with a poster and a presentation of the results to the partner and joint reflection on the approach.
Contact: Prof. Oliver Hayden, Nina Santner (1000plus) @cit.tum.de
For: Master’s students of all disciplines and schools
TUMonline module no.: CIT6430001
ECTS: 2
Period: January 13 to 17, 2025
Registration: until October 2024 at 1000plus.cit.tum.de
As part of the project, an interactive academic program advisory assistant is being developed, capable of automatically answering FAQ from current and prospective students. Participants will work with modern technologies in the fields of Artificial Intelligence (AI) and Natural Language Processing to create user-friendly solutions. This includes both the technical implementation, such as the integration of chatbot frameworks, and the content development through building and maintaining a knowledge database. Fundamental AI concepts will be taught in a practical context and applied in the development of the assistant. By the end of the project, the software will be able to independently answer typical questions about academic programs, admission requirements, and application deadlines. In addition to the technical implementation, teamwork and the development of soft skills will also be key focuses of the project.
Contact: Enkeleda Thaqi
For: Master’s students from AI in Society, Informatics, Data Science, Mechanical Engineering, Information Systems, Education Science; experience with web development (frontend and backend; JavaScript); optional: basic understanding of machine learning, transformer models, and natural language processing
Course no.: 0000004871
ECTS: 4
Period: January 13 to 24, 2025
The course is structured around two interconnected themes. First, we investigate how social science disciplines can benefit from adopting AI tools, opening up new avenues for research, analysis, and problem-solving. Second, we examine the far-reaching impacts of generative AI on society and the economy, exploring how these transformative processes can be measured, evaluated, and potentially regulated.
Contact: Dr. Jan Zilinsky
For: Master’s students of all disciplines and schools
Course no.: 0000001278
ECTS: 3
Period: whole semester
Would you like to become an educational technology researcher? Are you interested in educational technology design? Are you dreaming of building educational technology? To get started, you will need knowledge about how data flows in and out of educational technology and may influence and capture human behavior and learning. Integrating data-oriented thinking is not trivial. “Data Design Studio” will provide a dive into the world of data-driven thinking. This Project Weeks course is an intensive, student-centered, and project-oriented learning experience of a scaffolded process for data collection design in the context of AI-powered EdTech. This project-based course targets all TUM students interested in AI-powered EdTech at any level (Bachelor, Master, PhD) and any school. Participating students will have the opportunity to select a real educational problem and to design and implement data flows for AI-powered EdTech that could tackle this problem. Participants will work independently with special instructional materials and instructor feedback to support their learning process at different stages of their projects. Registration in both lecture and seminar courses within this ProjectWeeks module are obligatory for enrolment in this module.
Contact: Laura Graf, Santiago Hurtado
For: Bachelor’s and Master’s students of all disciplines and schools
Course no.: 0000001149, 0000001249
ECTS: 3
Perion: January 13 to 17, 2025
The “Data Governance in Action” module focuses on the practical implementation of data governance principles in modern organizations. It encompasses an extensive range of crucial topics vital for comprehending and executing effective data governance strategies. The module commences with an introduction to the data governance concepts and their pivotal significance in the digital economy. Students will delve into the legal and regulatory frameworks for data management, including GDPR, the EU Data Act, and the EU Data Governance Act to ensure adherence to regulations and best practices.
Contact: Akanksha Bisoyi
For: Master’s students from the fields of Informatics, Data Science, Mechanical Engineering, Information Systems, Medical Engineering
Course no.: 0000003114
ECTS: 6
Period: whole semester
This Project Week aims to reflect on how can we improve decision-making competence among university students, with the goal to design the outline of a program on decision education, able to empower students with the skills and dispositions essential to be able to learn actively, independently, and efficiently, make sound inferences, and take informed decisions. This project would also provide a unique opportunity to reflect on how to conscientiously and effectively utilize digital and AI tools, such as ChatGPT, alongside social media platforms like Instagram and TikTok, to support our decision-making skills.
Contact: Prof. Azzurra Ruggeri
For: Bachelor’s and Master’s students of all disciplines and schools (fluency in English is necessary)
Course no.: 00SOT10083
ECTS: 5
Period: January 13 to 17, 2025
Have you ever sat in a lecture and suddenly realized that your mind is on planning your dinner instead of paying attention to the lecturer? This phenomenon, known as “mind wandering”, can disrupt the learning process. But what if we had a video player that recognizes when our attention wanders and helps us to refocus?
In this Project Week, students will develop AI-based real-time learning interventions for an existing attention-aware video player. Students will be able to integrate adaptive support, such as intermediate comprehension questions, directly into the video player, prompting learners to refocus.
After an initial introduction to the topic and the existing video player tool, students will work independently and receive feedback from the trainers at different stages of development. Finally, participants will conduct a small user study to evaluate the effectiveness of their actions to improve attention and learning outcomes. This hands-on project provides a unique opportunity to combine pedagogy and computer science and gives students the chance to develop innovative solutions that support attention in educational situations.
Contact: Dr. Babette Bühler
For: Master’s students from the fields of Informatics, Data Science, Mechanical Engineering, Information Systems, Education Science; experience with web development (frontend + backend; JavaScript); optional: basic understanding of machine learning, transformer models and natural language processing.
Course no.: 0000004592
ECTS: 4
Period: January 13 to 25, 2025
An interdisciplinary module entitled “Understanding the Digital Transformation of the Professional World” was anchored in each of the subject-related sub-courses of the Master’s programs in Vocational Education (Metal Engineering, Electrical Engineering, Civil Engineering, Health and Health Care Science, Nutrition and Home Economics, Agriculture). As part of a problem-solving, project-based learning approach, students from all six disciplines are required to work together with each other and with Master’s students of Informatics in order to develop prototypes for the improvement of digital transformation scenarios. The starting point is physically equipped scenarios in the TUM DigiLLab, a facility of the TUM EdTech Center (Industry 4.0, Health 4.0, Smart Home). In addition to technical evaluation dimensions, innovation, sustainability, data protection and data security are central evaluation dimensions. The interdisciplinary approach includes supervision by expert lecturers, IT support, and legal preparation.
Contact: Dr. Friederike Rechl
Course no.:
- Module part 1
- Lecture: Legal Foundations of Digital Transformation: 000000169
- Module part 2
- Seminar: Digital Transformation of Labor, part 1: 0000000714
- Seminar: Digital Transformation of Labor, part 2: 0000000694
- Exercise: Practical Phase in the Digital Laboratory – Construction Engineering: 0000000304
- Exercise: Practical Phase in the Digital Laboratory – Electrical and Information Technology: 0000000313
- Exercise: Practical Phase in the Digital Laboratory – Nutritional and Household Economics: 0000002921
- Exercise: Practical Phase in the Digital Laboratory – Health and Nursing Science: 0000002926
- Exercise: Practical Phase in the Digital Laboratory – Metal Engineering: 0000002932
ECTS: 8
Period: whole semester
Registration: until October 11, 2024, via TUM Online (course number: 0000000694)
The interdisciplinary project “FEM for FSI with Open Source Software” deals with the challenges of coupled phenomena in nature and technology and their numerical simulation with FEM. Internationally recognized experts provide insight into the latest innovations in research and high-performance computing as well as the implementation of various solution strategies for FSI in the open source software Kratos Multiphysics. In the project work, students immerse themselves in this numerical environment and solve various challenges in the field of fluid-structure interaction in interdisciplinary teams.
Contact: Dr. Ann-Kathrin Goldbach
For: Bachelor’s and Master’s students of all disciplines and schools, especially of the TUM School of Natural Sciences, TUM School Life Sciences und TUM School of Medicine Health
Course no.: 0000002027
ECTS: 3
Dates: 13.01., 20.01., 27.01., 03.02., 28.04.2025
As part of the Project Week 2024/25, the “Future Mobility Camp” is intensively dedicated to driving forward the mobility of tomorrow, a key challenge of our century, with a clear focus on the interdisciplinary fusion of different subject areas. By bringing together students from different disciplines, the “Future Mobility Camp” aims to develop new, innovative mobility solutions that are technically feasible, economically viable, and socially acceptable. While technologies such as autonomous and networked vehicles form the foundation for the development of advanced mobility concepts, interdisciplinary collaboration will be used to take a holistic view of the aspects of transport infrastructure and social mobility. Furthermore, business cases for new mobility concepts will be developed in order to offer a comprehensive perspective on the mobility of the future. By using real autonomous vehicles on a scale of 1:10 in a miniature city, students will be introduced to the technologies of autonomous and networked vehicles. The aim is to recognize the need to view technology not just as a tool, but as a pioneer for sustainable mobility solutions. The Project Week thus gives students the unique opportunity to develop future-oriented concepts that form the basis for the mobility of the next generation in a holistic way between technology, (transport) infrastructure, users, society, and the environment.
Contact: Prof. Johannes Betz
For: Master’s students of the TUM School of Engineering and Design, the TUM School of Computation, Information and Technology, the TUM School of Social Sciences and Technology, and the TUM School of Management
Course no.: 0000001246
ECTS: 3
Period: January 13 to 17, 2025
In this course, students will develop insights from geospatial data and AI in regards to climate change and conflict and will produce a detailed visualization of their results in order to better inform decision-makers, politicians, and the broader public. This course is the result of a collaborative partnership involving various professorships from the TUM School of Engineering and Design, TUM School of Life Sciences, and the TUM School of Social Sciences and Technology, alongside the United Nations (UN), and other esteemed partners like the Institute for Interdisciplinary Data Science and AI at the University of Birmingham, the Rhode Island School of Design, the Al Jazeera Data Lab, and DesignIt, Munich. The project engages students as they work alongside UN and academic experts, gaining practical experience while contributing to global efforts in addressing environmental issues and promoting peace. By integrating theoretical instruction, practical lab work, and hands-on projects, this course will enable participants to develop crucial skills in two key areas: (1) leveraging geospatial data in decision-making processes, and (2) utilizing storytelling techniques to effectively communicate complex narratives. Through fostering a deep understanding of these intertwined challenges, the course is designed to empower students to initiate meaningful change and contribute to addressing climate-induced conflict on a global scale. Students from all academic backgrounds are encouraged to join, as in-depth training in each focus area will be provided.
Contact: Brittany Engle
For: Master’s students from all disciplines and schools
Course no.: 0000001273
ECTS: 6
Period: whole semester
The project is aimed at building (and later operating) a virtual society based on large language models (LLMs). As part of the project, students will create a virtual environment in three-dimensional space in which virtual characters based on LLM agents interact with each other in a similar way to people in a society. In addition, the students will design and implement a constitution for the virtual space. At the end of the Project Week, the virtual space will be released for further interdisciplinary research. The aim is to create a virtual reality that can provide the basis for further testing and research in the field of LLMs as well as interdisciplinary research, particularly in the field of sociology.
The project is interdisciplinary in nature and is aimed at students from various disciplines, in particular, but not exclusively: social sciences, political sciences, computer science, games engineering, architecture, law. The project team is expected to be divided into three groups (first group: game design and 3D modeling; second group: backend and LLM infrastructure; third group: legal system).
Contact: Konstantinos Krikis
For: Bachelor’s and Master’s students of all discplines, especially from the TUM School of Computation, Information and Technology, the TUM School of Social Sciences and Technology, or the TUM School of Engineering and Design
TUMonline module no.: POL86090
TUMonline course no..: 0000001272
ECTS: 6
Period: whole semester
This Project Week offers students the opportunity to gain fundamental knowledge about the application of AI in business scenarios and to deepen their knowledge by developing practical AI solutions for real business use cases. The seminar is divided into two separate blocks: “AI for Business – Essentials” and “AI for Business – Advanced”. In the first, participants will acquire basic theoretical knowledge about AI and an understanding of how it can be applied for business purposes. The second block is designed as a hands-on module where students work in interdisciplinary teams of three to four members with partner companies to solve real-world business problems using AI. The advanced module ends in a hackathon during the Project Week, where the teams present their proposals; the best projects have the chance to be awarded.
Contact: Andrea Capogrosso, Lukas Beckenbauer
For: Master’s students of the TUM School of Management and the TUM School of Computation, Information and Technology
TUMonline module no.: MGT001445
TUMonline course no.: MGT001445S
ECTS: 12
Period: whole semester
As AI technologies become more and more integrated into everyday life, understanding and using AI is becoming an important skill, especially for younger people. It is therefore important that children and young people not only understand how AI works, but also develop critical thinking about its ethical and social implications. This Project Week combines the potential of Massive Open Online Courses for free educational access with the promotion of AI-related skills. Students will explore how children can learn with and about AI and develop solutions at the intersection of e-learning and AI literacy.
Contact: Pauline Sailer
For: Master’s students with a background in AI or education
Course no.: 0000004738
ECTS: 6
Period: January 13 to 25, 2025