Data Visualization

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Course Description

Techniques and algorithms for creating effective visualizations based on principles from graphic design, visual art, perceptual psychology, and cognitive science. Topics: graphical perception, data and image models, visual encoding, graph and tree layout, color, animation, interaction techniques, automated design. Lectures, reading, and project. Prerequisite: one of CS147, CS148, or equivalent.

Cross Listed Courses

Grading Basis

ROP - Letter or Credit/No Credit

Min

3

Max

4

Course Repeatable for Degree Credit?

Yes

Total Units Allowed for Degree Credit

999

Course Component

Lecture

Enrollment Optional?

No

Does this course satisfy the University Language Requirement?

No