An introduction to the theory and application of graphical representations of data. Topics include: the human visual system, low-level vision processing, attentive vs. preattentive processes, color vision and color map design, interaction, space perception, and visualization design.

Counts as an elective in the Data Science interdisciplinary minor.

Prerequisite: CSC 221. Offered fall of odd-numbered years.

Does not carry Mathematics major credit. 

Class Details
Course CSC 362
Section 0
CRN 20136
Time M W
Time 0730 - 0845pm
Building 132 WATSON
Instructor Tabitha Peck
Max 24
Current 0
Remaining 24
Semester Spring 2022