This course examines the art, science, and practice of information visualization. Particular emphasis is placed on the ways in which position, shape, size, brightness, color, orientation, texture, and motion influence perception of information and facilitate comprehension and analysis of large and complex bodies of information. Topics include cognition and visual perception; the aesthetics of visual media; techniques for processing and manipulating information for the purpose of visualization; studies of spatial, relational, multivariate, time-series, interactive, and other visual approaches; and methods for evaluating information visualizations.

Information Visualization Syllabus (Spring 2015)

Assignments

• Visualization Commentaries (10%)
• Lab reports (3 @ 10% each)
• Peer reviews (10%)
• Midterm (10%)
• Final project (40%)

Topics

1. Introduction
2. History of Information Visualization
3. Visual Perception, Color, and Narrative
4. Temporal & Statistical Visualization
5. Tableau Lab
6. Design, Interaction, and Narrative for Visualization
7. Midterm
8. Usability and Evaluation
9. Mapping, Countermapping, and Geospatial Visualization
10. CartoDB/QGIS Lab
11. Network Visualization
12. Gephi Lab
13-15. Final Projects