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Content

Information Visualization

Lecturer: Marc Streit

Introduction
Visualization can be defined as the communication of information using graphical representations [1]. In this course students will learn how information, such as graphs, text, tables, and maps can be effectively presented as well as analyzed by a user. In a practical lab part, students will have the chance to apply the theoretical knowledge to the design and implementation of an information visualization system by using real-world data.
After this course students will not only understand the challenges in data visualization, but will be also able to design visualizations on their own.

Contents
In particular, this course will discuss the following constitutive topics:

  • Introduction to information visualization (definition, visualization process, historical aspects)
  • Perception and information processing
  • Data foundations
  • High-dimensional data visualization
  • Geospatial data visualization
  • Visualization of time-oriented data
  • Document and text visualization
  • Graph visualization (trees, graphs, networks)
  • Visualization on the web
  • Interaction techniques
  • Visualization frameworks
  • Collaborative visualization
  • Applications of information visualization.

Selected Readings

  1. Visualization Analysis and Design; Tamara Munzner; Taylor & Francis Inc., ISBN: 978-1466508910, 2014.
  2. Interactive Data Visualization: Foundations, Techniques, and Applications; Matthew Ward, George Grinstein and Daniel Keim, A K Peters, ISBN: 978-1568814735, 2010.
  3. Information Visualization. Perception for Design, Collin Ware, Morgan Kaufmann, 2nd edition, ISBN: 978-1558608191, 2004.
  4. Information Visualization: Design for Interaction, Robert Spence, Prentice Hall, 2nd edition, ISBN: 978-0132065504, 2006.
  5. Visualisierung: Grundlagen und allgemeine Methoden, Heidrun Schumann and Wolfgang Müller, Springer, ISBN: 978-3540649441, 1999.
  6. Visualization of Time-Oriented Data, Wolfgang Aigner, Silvia Miksch, Heidrun Schumann and Christian Tominski, Springer, ISBN: 978-0857290786, 2011.
  7. Semiology of Graphics: Diagrams, Networks, Maps; Jaques Bertin, Esri Press, ISBN-13: 978-1589482616, 2010 (orig. 1983).
  8. Beautiful Visualization, Julie Steele and Noah Illinsky, O'Reilly, ISBN: 978-1449379865, 2010.
  9. Visualize This: The FlowingData Guide to Design, Visualization, and Statistics, Nathan Yau, John Wiley & Sons, ISBN: 978-0470944882, 2011.