Information Visualization

Daniel A. Keim

Databases, Data Mining and Visualization group

University of Konstanz

Email: keim[at]inf.uni-konstanz.de

Homepage of author: http://dbvis.inf.uni-konstanz.de/~keim

Homepage of course: http://dbvis.inf.uni-konstanz.de/lehre/infovis/index.php

• Title of course: Information Visualization

• Aimed at what category of students: Computer Science students

• Objectives of the course:
  • To course addresses the principles involved in information visualization. Important Visualization concepts will be introduced including perception issues, visualization techniques and relevant applications. Furthermore the course discusses the state-of-the-art in Information visualization as well as actual research problems.

• List topics of course:
  • 1. Introduction
  • 2. Computer Graphics and Visualization Foundations
  • 3. Data Foundations
  • 4. Human Perception and Information Processing
  • 5. Visual Data Analysis
  • 6. 2-D Geo-Spatial Data
  • 7. Visualization Techniques for Spatiotemporal Data
  • 8. Visualization Techniques for Data Streams
  • 9. Case study: Visualization of Stock Market Data

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