|
Visualization |
|
|
||
| Organisatorisches |
|
|
|
|
||
|
SS 2006, (Wahlvorlesung), für Master of InfoTech / Softwaretechnik / Dipl.-Informatik 3V+1Ü (Vorlesungen + Übungen) |
| Dozenten: | Martin Kraus | (Homepage) |
| Tutoren: | Tobias Schafhitzel | (Homepage) | |
| Magnus Strengert | (Homepage) |
| Termine: | Di | 11:30 | - 13:00 | in V38.02 | Lecture | ||||
| Mi | 11:30 | - 13:00 | in V38.02 | Lecture | |||||
| Mi | 15:45 | - 16:30 | in V38.02 | Exercises |
|
|
||
| Wichtige Hinweise |
|
|
|
|
||
| See this page: http://www.vis.uni-stuttgart.de/eng/teaching/exams/ for information about exams. |
|
|
||
| Beschreibung |
|
|
|
|
||
|
Visualization deals with all aspects that are connected with the visual representation of (huge) data
sets from scientific experiments or simulations in order to achieve a deeper understanding or a
simpler represenation of complex phenomena. To obtain this goal, both well-known techniques from the
field of interactive computer graphics and completely new methods are applied. 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.
Among the topics of this lecture are: huge geometric models (such as terrain models, finite element models from car industry), cartesian 3D scalar fields (such as medical CT-data), unstructured 3D vector fields (e.g., from computational fluid dynamics), and information visualization (such as tables or graphs). |
|
|
||
| Literatur |
|
|
|
|
||
| 1. Scientific Visualization, Nielson, Hagen, Müller 2. Visualisierung. Grundlagen und allgemeine Methoden, Schumann, Müller 3. Computer Visualization : Graphics Techniques for Scientific and Engineering Analysis, Richard S. Gallagher |
|
|
||
| Links |
|
|
|
|
||
| 1. course notes (slides in PDF) 2. assignments |