DATA 6260 - Visualization

Credits: 3

The course discusses the principles, methods, and techniques for effective visual analysis of data. Many aspects of visualization, including techniques for both spatial and non-spatial data, are explored. The course topics include an overview of principles from perception and design, a framework for discussing, critiquing, and analyzing visualization, and visualization techniques and methods for a broad range of data types. Hands-on visualization experience using visualization systems and tools are included. Analytic tasks are also performed on the visualization literature. Prerequisites: Admission to MS in CS program, admission to MS/PhD in DS program, or permission of instructor. Credit cannot be earned for both DATA 6260 and CS 6260.

Repeatable:
No