Teaching and Quality Management

Combining excellent research with excellent teaching – that is the aspiration of TUM. Teaching at our university is carried out according to the highest didactic and technical standards, oriented towards learning objectives and competency.

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Teaching Methods

Here you will find an overview of the didactic principles on which teaching at TUM is based, as well as assistance in designing courses and examinations.

Awards and Competitions

At TUM, there are a variety of forums and competitions for innovative teaching formats, outstanding didactic concepts and the exchange on the latest developments.

Dialogue on Teaching

At TUM, there are a number of regular events on the culture of teaching and learning that provide impetus for lecturing and space for discussion and exchange.

Quality Management

The goal of quality management is to design, establish and further develop attractive, challenging and internationally competitive degree programs.

Training for Teaching

Whether didactics, e-learning or evaluation – TUM offers a wide range of consulting and training services on all topics related to studying and teaching.

Internationalization Language Services

The Internationalization Language Services coordinates translations into English as well as (copy) editing, and provides the dict.tum terminology database.

Contact Quality Management

TUM Center for Study and Teaching
Quality Management

Arcisstr. 19
80333 München


Contact ProLehre

ProLehre | Media and Didactics
Barer Str. 19
80333 München

E-Mail: infospam prevention@prolehre.tum.de


Handouts, guides, and templates: documents on teaching and QM.


News: Teaching and Learning

Opening ceremony of the MDSI with science minister Markus Blume
Reading time: 3 Min.

Fresh impetus for data science

TUM opens Munich Data Science Institute

The Technical University of Munich (TUM) is celebrating the official launch of the Munich Data Science Institute (MDSI). As a central element of TUM AGENDA 2030, it is funded under the Excellence Initiative of the German government and the federal states. The MDSI pools the strengths of TUM in data sciences, machine learning and artificial intelligence (AI), from basic research to interdisciplinary applications. It will also teach data skills to master’s students, researchers and professionals.

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Artificial Intelligence Research Studies Teaching President
Dr. Alexandra Strasser, Prof. Karsten Stahl und Rudolf Motzet
Reading time: 7 Min.

Pilot project to dovetail digital and analog elements

Strategies for a new normal in teaching

Corona has created a new reality in university teaching: Digital, analog and hybrid formats are to be combined in a way that ideally promotes teaching and learning success. To support this, the Bavarian State Ministry for Science and the Arts has launched the “NewNormal” program. TUM is one of the four pilot universities. In this interview, Professor Karsten Stahl and Rudolf Motzet from the Chair of Machine Elements and Dr. Alexandra Strasser from ProLehre | Media and Didactics explain their project of developing a competence- and demand-optimized teaching strategy.

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Studies Teaching
Illustration of Jerry John Kponyo (left) and Prof. Sune Lehmann Jørgensen.
Reading time: 5 Min.

One Topic, One Loop: Jerry John Kponyo

Inclusivity and responsible AI

In the third part of our global discourse series "One Topic, One Loop", Prof. Jerry John Kponyo from Kwame Nkrumah' University of Science and Technology (KNUST) in Ghana explores the concept of responsible AI. He emphasizes the importance of ethical, transparent, and inclusive approaches, describes how Afrocentric datasets are generated at KNUST's Responsible AI Lab, and ends with a question for Prof. Sune Lehmann Jørgensen of the Technical University of Denmark.

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Community Artificial Intelligence Studies Teaching
Enkelejeda Kasneci on AI and the future of education. Aldo Faisal, Professor of AI and Neuroscience at Imperial College London, answers her concluding question on the topic.
Reading time: 3 Min.

Global discourse series "One Topic, One Loop": Enkelejda Kasneci

Generative AI for all?

Four countries, four universities, four perspectives: In the global discourse series "One Topic, One Loop", four professors discuss a current topic in research and teaching. Prof. Dr. Enkelejda Kasneci, Head of the Chair for Human-Centered Technologies for Learning at the TUM School of Social Sciences and Technology, begins the discussion. How will research and teaching change under the influence of artificial intelligence - and what comes next?

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Community Artificial Intelligence Studies Teaching
Researcher with VR glasses
Reading time: 3 Min.

Research, continuing education and entrepreneurship

New center for digital education technologies

The Technical University of Munich (TUM) works for stronger research, continuing education and spin-offs relating to education technologies. At the new TUM Center for Educational Technologies interdisciplinary research teams will investigate the effectiveness of digital tools for learning and teaching and will develop new applications. The center will put this into practice using continuing education programs and by supporting start-ups.

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Artificial Intelligence Entrepreneurship Research Studies Teaching President