(Advanced) Visual Computing Lab

SoSe 25

Students work in this lab on selected (advanced) topics in the area of visual computing. Project results will be presented in a talk at the end of the course. The specific topics addressed in the lab change every semester and should be discussed directly with one of the instructors.

Organization

TUCaN Link (advanced), Link
Module no. 20-00-0537-pr, 20-00-0418-pr
Event type practical laboratory (P4, 6CP, 4SWS), elective
Being taught regularly, usually every semester
Kickoff Th, 18. Apr. 2024, 15:20-17:00 in Room S305/074 (SoSe 25 date TBA)
Lecturer Prof. Dr.-techn. Wolf Dietrich Fellner, Dr. rer. nat. Stefan Guthe, PD Dr. Arjan Kuijper, Ph.D. Anirban Mukhopadhyay, Prof. Stefan Roth, Ph.D., Prof. Dr.-Ing. Jörn Kohlhammer, Prof. Dr.-Ing. André Stork

Content

  • After consultation with a supervisor: Familiarization, based on selected sources, and implementation of an individualized work plan.

After successful completion of this course, the students will be able to independently analyze and solve a problem in the area of visual computing and to evaluate the results.

Can be taken for credit toward BSc / MSc Informatik, MSc Visual Computing, MSc Autonome Systeme, BSc / MSc Computational Engineering and others. Students from other departments, e.g. Mathematik, Elektrotechnik, IST, or Physik are welcome, though academic credit may need to be arranged.

Practical programming skills, e.g. Java or C++ and basic knowledge or interest in visual computing applications. It is recommended to have taken the introductory course Visual Computing.