Open House Campus Garching October 3

Discover and try things out: We have invited you to experience research up close for a whole day.

Aerial view of the Garching research campus in 2021.

At the Garching research campus, visitors were invited to experience science in lectures, hands-on activities, guided tours and much more. Whether young or old, there were numerous activities for every one on this day: students, staff and external guests. In addition to TUM, many other research institutions such as the Max Planck and Fraunhofer Institutes took part in the day of action.

At a glance

Address and directions

  • Underground: Garching-Forschungszentrum
  • Bus: Ludwig-Prandtl-Str.; Boltzmannstr.; Garching-Forschungszentrum; Technische Universität; MVV timetable information
  • Car: A9, exit Garching-Nord

Program highlights

Program overview (in German)

Participating institutes

Around 25 research institutions took part in the open house. Here you can see a selection of our university’s participating institutes.

Contact

Do you have questions? Contact our organisation team:
tag-der-offenen-tuerspam prevention@tum.de

Further information

You can get an overview of the campus and the action day program on the Garching research campus website (in Geman).

"Open Day" lettering with graphic elements on a dark blue background

Germany-wide action day on October 3

Open House with the Mouse 2024

We also took part in the nationwide "Doors open with the Mouse" campaign day: some of our open house programs took place as part of the Mouse Door Opener Day.

More on the WDR action day

Further events on the topic of research

27 Jan 2025

Advantages and risks of machine translations

Lecture: Natural Language Processing

  • Monday, 1/27/2025
  • 16:30

Event location
TUM Campus Heilbronn

Public event

Target audience
publically

Presenter
Prof. Marine Carpuat

How can Natural Language Processing (NLP) facilitate cross-language communication? Find out more in the lecture by Prof. Marine Carpuat, Professor of Computer Science at the University of Maryland. In her lecture on Natural Language Processing, she addresses two main topics: First, she explains why it is so difficult to weigh up the benefits and risks of machine translation. One reason is that users have difficulty assessing the quality if they do not speak either the input language or the output language.

She will also explain why even accurate translations can miss the mark if users lack cultural context because they do not speak the source language. She will present techniques that automatically generate explanations of cultural context.

Register now

Additional information
How to find us
  • Venue: D-Bau, Room D.1.07/D.1.08, Bildungscampus 2, 74076 Heilbronn

Event overview
HSTS