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CMPT 384 - Information Visualization

Description
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.
Recent Professors
Recent Semesters
Winter 2023, Fall 2020, Fall 2019, Fall 2018
Class Size
11-71
Professor Reviews
4y
Junior
CMPT
I didn't know much about this class other than the name seemed interesting and majoring in CS, I thought it would be theory heavy and be based on understanding. I was mislead. The labs were not helpful with assignments or class material. The Assignments are from out of nowhere that are at times, incomprehensible. Class was very unorganized.
3y
Junior
CMPT
Professor Mondal is a great person. This was an online course due to the pandemic. The lecture videos could be more streamlined, the assignments were great. Not a hard course but more use of a textbook would be great.
Read all 11 reviews
Typical Class Length
50 minutes, 1 hour 20 minutes
Attributes
No Academic CreditOn Campus Student FeesScience Program TypeTuition - Category 3