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.
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.
At TUM, there are a variety of forums and competitions for innovative teaching formats, outstanding didactic concepts and the exchange on the latest developments.
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.
The goal of quality management is to design, establish and further develop attractive, challenging and internationally competitive degree programs.
Whether didactics, e-learning or evaluation – TUM offers a wide range of consulting and training services on all topics related to studying and teaching.
The Internationalization Language Services coordinates translations into English as well as (copy) editing, and provides the dict.tum terminology database.
News: Teaching and Learning
"One Topic, One Loop": Enkelejda Kasneci
Generative AI: Knowledge creates trust
Generative AI for all? To conclude our global discourse series "One Topic, One Loop", Enkelejda Kasneci, Professor of Human-Centered Technologies for Learning at the TUM School of Social Sciences and Technology, reflects on the key findings from all the contributions.
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.
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.
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.
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?