[ 921CGELINVK13 ] KV Information Visualization

Es ist eine neuere Version 2022W dieser LV im Curriculum Master's programme Medical Engineering 2023W vorhanden.
Workload Education level Study areas Responsible person Hours per week Coordinating university
4,5 ECTS M - Master's programme Computer Science Marc Streit 3 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Computer Science 2021W
Objectives Students understand the challenges in data visualization and will be able to design visualizations on their own. Visualization can be defined as the communication of information using graphical representations. 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.
Subject Introduction to information visualization (definition, visualization process, historical aspects), perception and cognition, 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.
Criteria for evaluation Written exam (oral exam in exceptional cases), practical lab assignment
Methods Slide presentations with case studies; practical lab assignment
Language English
Study material
  1. Interactive Data Visualization: Foundations, Techniques, and Applications; Matthew Ward, George Grinstein and Daniel Keim, A K Peters, ISBN: 978-1568814735, 2010.
  2. Information Visualization. Perception for Design, Collin Ware, Morgan Kaufmann, 2nd edition, ISBN: 978-1558608191, 2004.
  3. Information Visualization: Design for Interaction, Robert Spence, Prentice Hall, 2nd edition, ISBN: 978-0132065504, 2006.
  4. Visualisierung: Grundlagen und allgemeine Methoden, Heidrun Schumann and Wolfgang Müller, Springer, ISBN: 978-3540649441, 1999.
  5. Visualization of Time-Oriented Data, Wolfgang Aigner, Silvia Miksch, Heidrun Schumann and Christian Tominski, Springer, ISBN: 978-0857290786, 2011.
  6. Semiology of Graphics: Diagrams, Networks, Maps; Jaques Bertin, Esri Press, ISBN-13: 978-1589482616, 2010 (orig. 1983).
  7. Beautiful Visualization, Julie Steele and Noah Illinsky, O'Reilly, ISBN: 978-1449379865, 2010.
  8. Visualize This: The FlowingData Guide to Design, Visualization, and Statistics, Nathan Yau, John Wiley & Sons, ISBN: 978-0470944882, 2011.
Changing subject? No
Further information
On-site course
Maximum number of participants -
Assignment procedure Direct assignment