SS 2008, (Wahlvorlesung), für Master of InfoTech / Softwaretechnik
3V+1Ã (Vorlesungen + Übungen)
|Termine:||Di||11:30||- 13:00||in V38.02||Lecture|
|Mi||11:40||- 13:10||in V38.02||Lecture|
|Mi||15:45||- 16:45||in V38.02||Exercises|
Due to overlap with another course, the lecture begins 10 minutes later on Wednesdays, i.e.
the lecture times are 11:40-13:10 on Wednesdays. All other scheduling is
The first lecture is on: Tue, 22-April-2008, there is no class in the week 14-Apr - 18-Apr.
The lecture on Tue, 27-May-2008 has been cancelled.
Visualization deals with all aspects that are connected with the visual
representation of data sets from scientific experiments, simulations,
medical scanners, databases and the like in order to achieve a deeper
understanding or a simpler representation of complex phenomena. To obtain
this goal, both well-known techniques from the field of interactive
computer graphics and completely new methods are applied. The objective of
the course is to provide knowledge about visualization algorithms and data
structures as well as acquaintance with practical applications of
visualization. Based on the
visualization pipeline and the classification of mapping methodes, this course will present
visualization algorithms and data structures for various kinds of applications and scenarios.
Topics of this course are:
|1. The visualization handbook, C.D. Hansen, C.R. Johnson (eds.), Elsevier, 2005|
2. Visualisierung. Grundlagen und allgemeine Methoden, Schumann, MÃ¼ller
3. Scientific visualization: overviews, methodologies, and techniques, G. Nielson, H. Hagen, H. Mueller (eds.), IEEE Computer Society, 1997
4. Information visualization: perception for design, C. Ware, Elsevier/Morgan Kaufmann, 2004, 2nd ed.
5. Real-time volume graphics, K. Engel, M. Hadwiger, J. M. Kniss, C. Rezk-Salama, D. Weiskopf, A K Peters, 2006
6. GPU-based interactive visualization techniques, D. Weiskopf, Springer, Berlin, 2006
|1. Course notes SS08 (slides) |
3. Old course notes ss07 (slides)
4. e-learning course