Data are omnipresent and constantly increasing in size and complexity. The human visual system, on the other hand, is the data channel with highest bandwidth to our mind, and it has a variety of data reduction and abstraction mechanisms. This makes the human visual system a prime candidate for data analysis, but requires transformation of the data and their subsequent graphical representation. Such transformation needs techniques from visual data analysis and visualization, while graphical representation is achieved by computer graphics. Beyond that, computer graphics is a key component in entertainment, games, and graphical interfaces in general.

This core track provides students with the theoretical and practical skills necessary to develop and apply such visual analysis techniques as a data scientist, as well as techniques in computer graphics, geometry, and animation. Students learn the theoretical concepts and basic algorithms of data analysis and graphics, and how to interpret and design them. The interdisciplinary nature of these fields provides students with a foundation for collaboration in a variety of methodological domains and application fields in science and engineering.

The theoretical and algorithmic skills are complemented by practical experience gained from training and collaborating with scientists in various methodological and application areas, such as astrophysics, medicine, engineering, and mathematics.

Researchers in core track 3

Prof. Vincent Heuveline - Engineering Mathematics and Computing Lab

Dr. Susanne Krömker - Visualization and Numerical Geometry Group

Prof. Carsten Rother - Computer Vision and Learning Lab

Prof. Filip Sadlo - Visual Computing Group