Credit units: 3
Offered: Either Term 1 or Term 2
Weekly hours: 3 Lecture hours and 1 Tutorial hours
College: Arts and Science
Department: Computer Science
This course will introduce visualization process for different datasets, design principals, techniques for developing effective visualizations, visualization algorithms and interaction techniques. The course is targeted to students interested in using visualization in their own work, as well as to those who are interested in developing visualization systems. Topics include: data abstractions, visualization process, design principles, visualizations of tabular data, geo-visualizations, cartographic representation, visualization for sets, temporal and hierarchical data (treemaps, radial layouts), network visualizations, visualization algorithms and software, interactions with large datasets, and a brief overview of visual analytics.
Prerequisite(s): CMPT 280 (required); MATH 164 (formerly MATH 264) recommended.
Note: Students with credit for CMPT 398.3 Information Visualization may not take this course for credit.
Upcoming class offerings
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