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 2014)

Assignments

• Weekly visualization post (20%)
• Lab reports (5 @ 8% ea)
• Final project (40%)

Topics

1. Introduction
2. History and Theory of Information Visualization
3. Perception and Visual Processing
4. Narrative for Visualization & Vérité TimelineJS Lab
5. Data for Visualization & Google Refine Lab
6. Temporal & Statistical Visualization I: Part–Whole, Deviation, Distribution
7. Tableau Lab
8. Statistical Representations II: Correlation, Hierarchy, Multivariate
9. Mapping, Countermapping, and Geospatial Visualization
10. Lab: CartoDB or Tableau (Mapping)
11. Relational Data & Network Analysis
12. Gephi Lab
13. Interactive Representations
14. Final Projects Lab
15. Final Projects Presentation