What is information visualization? How is it related to scientific visualization? How does it combine with data mining? Information visualization is emerging as an important fusion of graphics, scientific visualization, database, and human-computer interaction. Dozens of innovative visualizations for 1-, 2-, 3-, and multi-dimensional data have been proposed, along with creative designs for temporal, hierarchical, and network data. This seminar will examine the design alternatives (fisheye, overviews, dynamic queries, etc.), algorithms and data structures, coordinated views, plus human factors evaluations of efficacy for a variety of tasks and users.
Students will read current literature and conduct collaborative projects to design, implement, and/or evaluate existing or novel visualizations. Mid-term and final exams will be given, so the course qualifies for MS and PhD comps.
Students will read, present and critique papers. Students will use existing information visualization tools, such as Spotfire, to build useful visualizations on data sets, then conduct a major team project to create or extend an information visualization to deal with a realistic problem.
Key papers will be assigned for reading. Other reference sources include:
Designing the User Interface, 4th Edition, B. Shneiderman & C. Plaisant, Addison Wesley (2005).
http://www.aw-bc.com/dtui Chapter 14.
Readings In Information Visualization: Using Vision to Think, Stuart K. Card, Jock D. Mackinlay, and Ben Shneiderman,
Morgan Kaufmann Publishers, San Francisco, January 1999, 686 pages, ISBN 1-55860-533-9,