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Applied Information Visualization (4DV301)

Professor Prof. Dr. Andreas Kerren
Time & Place Compare here! In general, the lectures will take place in B3033 (Building B), each Monday from 13:15 till 15:00.
Teaching Period IV (2015-03-23 till 2015-06-07)
Assessment Assignments and oral examinations. Oral examinations will take place in room B3037 in week 23.
Prerequisites 90 credits in Computer Science incl. a course in Computer Graphics (1DV300) and 4DV300 Information Visualization, or similar documented experiences.
Credits 7.5 ECTS
Topic Information Visualization in Special Domains



This course extends Information Visualization with visualization techniques and systems for special data sets, such as networked data (graphs and networks), time-dependent data, text, document collections, or software (so-called software visualization). Furthermore, we discuss the evaluation of visualizations, information visualization for the masses, as well as applications in bioinformatics, geography, etc.

This course aims at giving an overview of the most important techniques and prerequisites needed to develop effective visualizations of abstract information. After finishing the course, the students should be able to choose and develop the most suitable technique for special data sets and applications domains.

Schedule Preliminary Schedule:

  #   Date Topic Slides
1 2015 03 23 Introduction and InfoVis Toolkits
2 2015 03 30 Text & Documents
3 2015 04 13 Graphs, Networks, and Applications
4 2015 04 20 WebVis and BioVis
5 2015 04 27 Time-series Visualization
6 2015 05 04 Software Visualization
7 2015 05 07 Visualizations for End-users & Collaboration
8 2015 05 18 Visual Analytics
9 2015 05 25 Evaluation and Top 10 InfoVis Challenges

Materials Learning Environment:

  • Moodle
Visualization Tools and Libraries:

  • Prefuse Visualization Toolkit (Java)
  • Flare - Data Visualization for the Web (ActionScript)
  • Protovis (JavaScript)
  • Protovis-Java (Java)
  • D3 (JavaScript)
  • JavaScript InfoVis Toolkit (JavaScript)
  • Many Eyes (Online, Collaborative)
  • Visualize Free (Online, Dashboards)
  • InfoVis Toolkit (Java)
  • XmdvTool (Qt)
  • Processing (Environment for Graphics Programming)
  • Improvise (Java)
Interestings URLs:

  • Information is Beautiful
  • Search User Interfaces (Free Book)
  • Transmogrifiers
  • A Visual Bibliography of Tree Visualization
  • A Visual Survey of Visualization Techniques for Time-Oriented Data
  • A Visual Survey of Text Visualization Techniques
  • Keshif: Data Made Explorable
  • Quantified Self Viz Contest Entries

Assignments Assignments consists of theoretical and practical exercices as well as a short class presentation/demo. They will be supervised by Björn Zimmer.

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