Information Visualisation

706.057 Information Visualisation 3VU SS 2012

Lecturer: Ao.Univ.-Prof. Dr. Keith Andrews
Course Web Site: http://courses.iicm.tugraz.at/ivis/
My Web Site: http://www.iicm.tugraz.at/keith
Email: kandrews@iicm.edu
Office Hour: Mon. 11:00-12:00 during normal term
Room D.2.16, ID01054, IICM, Inffeldg. 16c, 1st floor.
Lectures:

Weds. 14:15 - 16:45
Seminar Room IICM, IDEG134, D.1.10, Inffeldgasse 16c, ground floor

Schedule: The course schedule in more detail.

Information about the oral exam.
Description:
  1. Introduction
  2. History of Information Visualisation
  3. Visual Perception
  4. Visualising Linear Structures
  5. Visualising Hierarchies
  6. Visualising Networks and Graphs
  7. Visualising Multidimensional Metadata
  8. Visualising Text and Object Collections
  9. Visualising Query Spaces
Aims and Objectives of Course: First we will look at current work and results in the area of information visualisation. Then students will resarch and present one particular aspect of information visualisation. Finally, students will design their own visualisation for a particular kind of information or application.
Teaching method: A mixture of lecture, seminar, and practical, with group discussion.
Lecture Notes: http://courses.iicm.tugraz.at/ivis/ivis.pdf   [88 pages PDF]

The lecture notes will be updated as the course progresses.

[If you teach InfoVis and would like a zip file of the corresponding lecture slides (the same material but in HTML, PNG, and JPEG), please contact me by email.]

Course Books:

If you would like to buy one or two books for the course, I recommend the following:

Spence, Information Visualization, 2nd Edition Ward et al, Interactive Data Visualization Ware, Information Visualization: Perception for Design, 2nd Edition Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics

Note: Amazon credit me a small referal amount, should you purchase a book after following these links.

Course Materials: An example LaTeX skeleton for writing a survey paper is here: http://ftp.iicm.tugraz.at/pub/keith/survey/survey.zip
Surveys: The survey reports from this semester.
Course Newsgroup: tu-graz.lv.ivis
Registration:

In TUGrazOnline.

This is an advanced course at postgrad (Master's) level. The number of students is limited to 20 to encourage participation and discussion. Places usually fill up very fast.

Priority will be given to PhD and Master's students in one of the computer science degree programmes (Main Group). Students in other degree programmes will be allocated places in chronological order of registration as far as places are still available (Reserve Group).

Examination Method: The grade will be determined by your group presentation of a research topic (20%), the group development of an infovis prototype (40%), and an individual oral exam (40%).
Language Policy:

This course is taught in English and there may be some participants who do not speak German, so please give your presentations and write your reports in English. This course is a good chance to practice using English with (almost) nothing to lose. I will not be grading your English, but the content of your work.

For the oral exam, you can choose whether the exam is in English or German.

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