Digital.Campus Bayern learning platform available
Digital.Campus
Digital.Campus Bayern is an initiative of the Bavarian State Ministry for Digital Affairs. It is supported by a strong network of universities, universities of applied sciences, educational institutions, and companies.
You get user-friendly access to wide-ranging, flexible, and innovative training programs that help you build your digital skills. You can use the learning offerings at any time and largely free of charge (Open Educational Resources).
The platform is continuously being further developed:
In the course of 2023, the platform will be expanded to include a learning management system and a diagnostic tool with an AI-based individual learning path.
Zoom – Migration to Telekom tenant
TUM has extended its contract with Zoom for another year, switching to the new contract partner Telekom.
Appointment portal online
Appointments to new professorships can now be managed and advertised via TUM’s new appointment portal.
Digital statutes and regulations
Statutes can now be published purely digitally due to a legal amendment in the Higher Education Innovation Act (HIG).
Travel management with BayRMS
Since January 2023, BayRMS has been available as a digital system for requesting and billing short domestic trips.
Vulnerability scans on all IT systems
Our IT security team has started to scan all of TUM networks for security vulnerabilities within our systems using the Greenbone Security Assitant.
New TUM Roomfinder
The new Roomfinder is available at https://nav.tum.de and replaces the previous, very outdated Roomfinder.
Koinon IT Portals available for all schools
Koinon (from ancient Greek community, commonwealth, or federation) is a portal for the digitalization of administrative processes at schools.
Generate your user certificate on your own
As a student or employee/guest of TUM, you can easily generate a user certificate for your TUM email address(es) via TUMonline.
Data science storage available to all scientists
LRZ’s Data Science Storage (DSS) is a novel approach at LRZ to solve the demands and requirements of data-intensive science.