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.