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Information Visualization (4DV300)

Professor Prof. Dr. Andreas Kerren
Time & Place Compare here! In general, the lectures will take place in room B3033 in Building B.
Teaching Period II (2014-11-03 till 2015-01-16)
Assessment Assignments AND oral examinations. Oral examinations will take place in room B3037 in week 3.
Prerequisites 90 credits in Computer Science including a course in Programming and Data Structures (1DV007) or equivalent.
Credits 7.5 ECTS
Topic Basics in Information Visualization



Information Visualization (InfoVis) covers the development of tools for better understanding and analyses of abstract information using the human visual system. Abstract information can normally not be transferred into the physical world. This course gives you an overview of the most important techniques of this research area as well as applications. Covered topics are among others: interaction techniques, visulization techniques (e.g., level of detail, navigation, focus and context, focussing, 2D/2.5D/3D, ...), or visualization of hierarchical data.

The course Applied Information Visualization extends this course with visualization techniques and systems for special data sets.

Schedule Preliminary Schedule:

  #   Date Topic Slides
1 2014 11 03 Introduction and Motivation
2 2014 11 24 Perception Theory I
3 2014 11 26 Perception Theory II ↑
4 2014 12 01 Basics in Information Visualization
5 2014 12 03 Interaction I (Dynamic Queries)
6 2014 12 08 Interaction II (Zoom&Pan, Overview&Detail) ↑
7 2014 12 10 Interaction III (Focus&Context) ↑
8 2014 12 15 1D, 2D, 3D, and Multidimensional Data
9 2014 12 17 Hierarchies

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
  • Quantified Self Viz Contest Entries

Assignments Assignments consists of theoretical and practical exercices. They will be supervised by Björn Zimmer.

Assignments:

Open Theses We permanently offer interesting topics for Bachelor's and Master's Theses that are related to Information Visualization and Software Visualization.

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