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 2025/26, TUM students will again be invited to work in interdisciplinary teams on future topics from areas such as AI & Digitization, Creativity & Design, Entrepreneurship, Health, Social, or Sustainability.
The Project Weeks in the winter semester 2025/26 will take place from 12 to 16 January 2026.
In addition to the TUM-wide Project Weeks in winter, project-based courses are also offered in the summer semester.
Registration is possible via TUMonline at the usual deadlines.
With their concept for interdisciplinary teaching and learning formats for Project Weeks 2025/26, teachers can apply for funding within the framework of the Excellence Strategy until 16 March 2025.
All information on how to offer a Project Week and apply for funding can be found at collab.dvb.bayern/x/3lA2B.
Project-based courses in the summer semester 2025
In this course, participants will enhance an existing AI-powered learning platform by adding new interactive and proactive features that aim to boost students’ learning effectiveness. Building on the current systems (e.g., sam.edu.sot.tum.de/), they will introduce personalized user profiles, track learning progress, and allow users to upload supplementary materials. develop features that foster interactive discussions and automatically generate questions after lectures, creating a more engaging and productive learning experience.
Contact: Anna Bodonhelyi
For: Master’s students with experience in web development and a strong interest in LLMs
Course no.: 0000001684
ECTS: 6
Period: 24 March to 4 April 2025 or 31 March to 11 April 2025
Participants explore the future of human-AI collaboration. In this exciting Project Week, they will work in small teams to design and develop AI teammates that enhance collaborative problem-solving skills. Using multimodal Large Language Models (LLMs), they will implement AI teammates with speech input and output, enabling natural interactions with learners. But this isn’t just about building AI—it’s about understanding how AI can contribute strategically to collaborative-problem solving. The students will experiment with team dynamics, ensuring that AI teammates foster meaningful collaboration while aligning with pedagogical principles. By the end of the week, they will have hands-on experience developing AI-driven collaboration tools and deepened their understanding of educational technology, teamwork, and human-AI interaction.
Contact: Babette Bühler
For: Master’s students with either experience with web development and experience working with natural language processing and LLMs OR profound knowledge in research on education and educational psychology and interest in educational AI applications
Course no.: 0000003869
ETCS: 6
Period: 15 to 26 September 2025
As AI systems play an ever-growing role in our daily lives, their ability to comprehend human thoughts, behaviors, and needs is essential for developing truly transformative assistive technologies. This project week is dedicated to exploring how AI can bridge the gap between machines and humans, enabling deeper, more intuitive interactions that enhance accessibility and support.
Students will engage in collaborative, hands-on projects to design and prototype innovative solutions that improve how assistive systems understand and respond to human needs. By focusing on both the identification of challenges and the creation of impactful solutions, participants will push the boundaries of AI’s potential to create smarter, more empathetic assistive technologies
Contact: Khaoula Otmani
For: Master’s students with experience with LLMs and interest in personalization
Course no.: 0000002632
ETCS: 6
This Project Week builds on an interactive oral examination prototype, which supports students and streamlines assessments for educators. The system simulates real-time oral exams by having an AI ask questions based on uploaded coursework, evaluate verbal responses, and offer personalized feedback. In the Project Week, we’re taking it a step further by integrating web-based eye-tracking technology, allowing the AI to adjust its questions and feedback in real time based on students’ gaze.
Contact: Carrie Lau
For: Master’s students with experience with TypeScript/JavaScript, modern web frameworks, and a basic understanding of eye-tracking technology.
Course no.: 0000002600
ETCS: 6
Period: 25 March to 2 April 2025 or 31 March to 11 April 2025
Within this Project Weeks, students will follow a user-centered design approach to develop an app that enhances smartphone and social media use with educational content. The project is divided into two phases, a phase concerning the app concept development and a second app implementation phase. Students will collaborate in small teams (2–3 students) and conclude with a final presentation showcasing their app prototypes and how they can help users make more meaningful use of their smartphones.
Contact: Dr. Nađa Terzimehić
For: Master’s students from the fields of computer science, data science, human factors, business informatics, or educational sciences with experience in mobile development
Course no.: 0000002602
ECTS: 6
Period: 1 to 11 April 2025
In cooperation with Continental AG, participants of this Project Week will work towards enhancing the trustworthiness and comfort of vehicular in-cabin using explainability. They will get the opportunity to work in a small team to design and develop an interface that incorporates large language model (LLM) to explain the decisions taken by the vehicle in a simulated fully autonomous driving setup. But this project isn’t just about developing an interactive interface, it’s about collecting driver (user) information such as trust and comfort towards vehicle before and after these explanations. By the end of the week, participants will have experience in integrating LLMs into simulated environments and how they may affect driver behavior.
Contact: Aditi Bhalla
For: Master’s with experience in interface development and a strong motivation for LLMs
Course no.: 0000002957
ETCS: 6
Period: 24 March to 4 April 2025 or 31 March to 11 April 2025