Data Visualization

Prerequisites: CS 288 and CS 301 with a grade C or better. The course provides students an introduction to computer graphics and the knowledge for designing, developing, and applying techniques for both information and volume visualization. Software tools such as Tableau and programing languages such as Python will be used to represent and interpret information in various visual forms, and volumetric visualization algorithms such as marching cubes and ray casting will be used for big data visualization of 3D datasets in scientific domains. Students will gain knowledge about theoretical design principles and apply them directly on real-world data, as part of assignments and course projects.

Term 202410 #11753 CS450
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Instructor
Meeting Times
Location: CULM LECT 1 (NK)
@ 13:00 - 14:20
From 2024-01-16 to 2024-05-09
Enrollment

5

seats available

50

currently enrolled

55

maximum enrollment

99

waitlist seats available

99

waitlist capacity

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