Students will learn techniques for creating effective visualizations of quantitative data using principles from graphic design, perceptual psychology, cognitive science, and user-centered design. Topics include task abstraction, visual encodings of data, use of color, interaction techniques, and methods of evaluation. Data types discussed in the course will include tabular, network, and geospatial data.

Prereq: One programming course, such as CS 115 or equivalent, or permission of instructor.
Crosslisted with: BMI 520