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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

Contact ProLehre

ProLehre | Media and Didactics
Barer Str. 19
80333 München

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

Downloads

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

Downloads

News: Teaching and Learning

11/19/2024
Reading time: 1 Min.

Podcast "We Are TUM"

Mental health in the workplace

The new episode of our podcast "We Are TUM" focuses on the important topic of mental health. We talk to one of the organisers of the Mental Health Day at TUM, Kristin Knipfer, who also introduces us to other offers at our university. David Ebert, Professor of Psychology and Digital Mental Health Care, talks about current research. Johanna Schmickler, researcher at the Department of Didactics in Sport and Health, and student Alexa Schneider present a project on sleep hygiene.

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Teaching Studies Research Community
NewIn: Katharina Anders
10/24/2024
Reading time: 2 Min.

NewIn: Katharina Anders

“Driving forward 4D Earth observation fundamentally”

In this episode of "NewIn," we meet Katharina Anders, the newly appointed Professor of Remote Sensing Applications. She is researching the link between geomorphological processes and climate change. To achieve this, she incorporates the element of time, adding a fourth dimension to the data typically collected in three dimensions.

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Teaching Studies Research Community
NewIn: Chunyang Chen
9/26/2024

NewIn: Chunyang Chen

More barrier-free software access with AI

In this new issue of NewIn we learn more about Chunyang Chen. He conducts research at the TUM Campus in Heilbronn on how software development can be simplified and automated by artificial intelligence (AI), especially Large Language Models. In this interview he explains how he aims to make software more accessible for people with visual impairments or other disabilities.

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Teaching Studies Research Artificial Intelligence Community
Portrait of Oleksandra Poquet
8/20/2024
Reading time: 1 Min.

NewIn: Oleksandra Poquet

Using data to learn better

New technologies have long since made their way into higher education and continuing education. Oleksandra Poquet, Professor of Learning Analytics, explores how learner data can be used to keep developing people throughout their lives. We catch up with her and her research in this episode of "NewIn".

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Teaching Studies Research Artificial Intelligence Community
Bild von Helge Stein
7/22/2024
Reading time: 2 Min.

NewIn: Helge Stein

"Radically accelerate the way we do research"

In this episode of NewIn, we meet Prof. Helge Stein. He develops new materials for catalysis and rechargeable batteries, and aims to connect and accelerate research in the lab using machine learning, artificial intelligence and robotics.

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Teaching Studies Research Sustainability Artificial Intelligence Community
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