Beautifully atmospheric, cosy, fun and so delicious: that was the Campus Christmas Market 2024 at the University of Wuppertal! Numerous visitors -…
Pre-Christmas atmosphere on campus

Art students from the University of Wuppertal exhibit their work: From 18 December to 29 January 2025, the semester exhibition "Antimetheus" will take…
"Antimetheus" shows semester works from the art department

Creating innovative further training opportunities for employees in transport companies and linking professional practice, industry and universities…
UpTrain project provides new impetus for university teaching

Ludrila Ingrid Kouam Tuedem is this year's recipient of the DAAD Prize of the University of Wuppertal. The business mathematics student is about to…
Bergische Uni awards DAAD prize to student of business mathematics

A touch of Christmas is moving into Building K: On 11 December from 2 p.m., the Advent season will be duly celebrated there with treats, music and…
Grifflenberg campus Christmas market

In an increasingly digitalised world, printed circuit boards have become indispensable - almost every electronic device contains one or more.…
Automated quality inspection of printed circuit boards with artificial intelligence

As part of the "Ta'ziz Arab Transformations - Short Measures 2024" project funded by the German Academic Exchange Service (DAAD), a one-week workshop…
German and Tunisian students research random dynamics

The publication prize, which was awarded for the first time this year, was officially presented at the annual research network meeting for academics…
Current call for entries for the publication prize runs until January

This year's 5G.NRWeek culminated on 21 November with the annual conference under the motto "Goal 2030: Sovereign Connectivity for the Digital Decade".…
Secure connections as a competitive advantage

Image recognition is already being used in many areas: for example, when unlocking smartphones, searching for products and in autonomous driving…
Improving artificial intelligence in image recognition