Teaching
Scientific Visualization, SS 2005
Specialized Lecture Computer Graphics/Visual Computing
Abstract:
Nowadays huge amounts of data are constantly created in various kinds
of applications like medicine, engineering, science and industry. Due
to the increasing size and complexity of the data, an effective data analysis
is still a challenge. One approach to do so is to create a visualization
in such a way that important properties and correlations of the data become visible
in an intuitive way.
The lecture gives an overview of the most important concepts and algorithms in data
visualization. Advances and limitations of data visualization are discussed.
In particular the lecture focuses on four data classes: multivariate data (spatial
and temporal), volume data, flow data, and tensor data.
Content:
- Introduction
- Data Description and Selection
- Mapping
- Visualization of Multiparameter Data
- Volume Visualization
- Flow Visualization
- Tensor Field Visualization
- Information Visualization
- Visualization Systems
Time and Place:
- Wednesday, 2 - 4 p.m., Saarland University, Gebäude 45, Hörsaal 003
- first lecture: 13/04/2005
Instructors:
Exercises:
Grading policy:
- Amira exploration of unknown data set
- oral Exam at the end of the course
- 5 LP
Prerequisits:
- basic knowledge of Computer Graphics
Remarks:
- The lectures will be given in English
- Possible followups: Diploma, Master or Bachelor thesis, FoPra.
Schedule for oral examinations for July 20, 2005, MPI Informatik, room 223:
- 2.00 p.m.: Thomas Schultz
- 2.20 p.m.: Marin Katov
- 2.40 p.m.:
- 3.00 p.m.: Dorotea Dudas
- 3.20 p.m.: Maciej Mrowiec
- 3.40 p.m.: Jan Otop
Schedule for oral examinations for August 11, 2005, MPI Informatik, room 223:
- 3.00 p.m.: Antje Mundt
- 3.20 p.m.: Sascha Kohn
- 3.40 p.m.: Emanuele Dettori
- 4.00 p.m.: Dominique Beaulieu
- 4.20 p.m.: Jakub Petrykowski
Course Notes:
