Scientific Visualization

Holger Theisel

Computer Graphics Group

Max Planck-Institute of Computer Science

Email: theisel[at]mpi-sb.mpg.de

Homepage of author: http://www.mpi-sb.mpg.de/~theisel/index.html

Homepage of group: http://www.mpi-sb.mpg.de/units/ag4/

Homepage of course: http://www.mpi-sb.mpg.de/~theisel/classes/Vis_SS05.html

• Title of course: Scientific Visualization

• Aimed at what category of students: Students of Computer Science

• Objectives of the course:
  • 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.

• List topics of course:
  • Introduction
  • Data Description and Selection
  • Mapping
  • Visualization of Multiparameter Data
  • Volume Visualization
  • Flow Visualization
  • Tensor Field Visualization
  • Information Visualization
  • Visualization Systems

Back to previous page