Visual Computing

German name: Visual Computing

Designated Speaker: Prof. Carsten Dachsbacher

Specific competencies acquired in the profile:

• Graduates of the profile acquire competencies in the areas of: Image acquisition, image analysis (image processing, pattern recognition), image synthesis (interactive and photorealistic computer graphics, geometric modeling), scientific visualization, information visualization, visual analytics, human-machine interaction, augmented/mixed/virtual reality.
• Other knowledge taught includes topics from signal processing, machine learning, artificial intelligence, cognitive science, parallel and distributed computing, and basic methods from mathematics, computer science, and physics.

1. The master thesis must be from the subject area of the study profile.
2. The root module Computergrafik must be taken. If the root module has already been examined in the Bachelor's degree, 6 additional CP from the core area must be taken.
3. Modules amounting to at least 25 CP from the core area must be taken.
4. At least 15 LP of modules from the complementary block must be taken.
5. A total of at least 46 CP from 2.-4. must be taken.

V=Vorlesung (Lecture), S=Seminar (Seminar), P=Praktikum (Practical course), Ü=Übung (Practice)

Example and Curriculum (PDF)