Prof. Dr. Bernd Fröhlich
M.Sc. Dora Kiesel
M.Sc. Irene López García
M.Sc. Gareth Rendle
Description
The first part of this course presents fundamental and advanced information visualization techniques for multi-dimensional and hierarchical data, graphs, time-series data and set-based data. During the second part, algorithms and models for visualization of volumetric and vector-based data as well as corresponding out-of-core and level-of-detail techniques for handling very large datasets are introduced. This course will be taught in English.
Lab classes focus on implementing, testing and evaluating the visualization approaches presented during the lectures. There are in total 6 biweekly lab assignments which must be done in pairs, followed by individual quizzes to be done after submission.
Requirements
Programming skills, as well as a good grasp of algorithms and data structures, are required, and can be proven through successful completion of the corresponding courses from, for example, the Medieninformatik Bachelor programme. Javascript and GLSL programming languages will be used in the lab classes. Basic computer graphics knowledge is helpful, e.g. from taking the computer graphics course from the Medieninformatik Bachelor programme.
Certificates
Lab class assignments and brief written tests throughout the semester, as well as an oral or written exam at the end of the semester.
Dates and Moodle
- Moodle course page (for enrollment in the course)
- Lecture
- Thursdays, 13:30 - 15:00 Uhr (B11 - Seminar room H)
- First lecture: 3rd April 2025
- mandatory lab class, divided in two groups:
- Fridays, 13:30 - 15:00, starting 4th April 2025 (B11 - Pool G)
- Mondays, 09:15 - 10.45, starting 7th April 2025 (B11 - Pool G)
- Please choose one group, and enrol through Moodle
- written exam
- September 2025