Introduction To Information Visualization

This is a junior/senior level course that introduces basic elements of Information Visualization, which is concerned with the creation of visual representation of Big Data abstract phenomena for which there may not be a natural physical reality, such as stock market movements, social relationships, gene expression levels, manufacturing production monitoring, survey data from political polls, or supermarket purchases. Students will be exposed to techniques covering the five main phases of developing information visualization tools: representation, presentation, interaction, perception and interpretation, and evaluation. Students will be required to develop a large project related to information visualization.

Term 202440 #41509 CS02370
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Instructor
Meeting Times
Location: ROBSON 121 (M)
@ 14:00 - 15:15
From 2024-09-03 to 2024-12-19
Enrollment

5

seats available

25

currently enrolled

30

maximum enrollment

50

waitlist seats available

50

waitlist capacity

Section Tally

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