DATA582
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Data Visualization Design and Development
Description
Creative design strategies, technical implementation approaches, interaction techniques, evaluation methods, and reflective practices for visualizing novel datasets. Exploration of specialized approaches including geospatial, network, text, and uncertainty visualization.
Prerequisite(s): Computer Science 482 or Data Science 482.
Antirequisite(s): Credit for Data Science 582 and Computer Science 583 will not be allowed.
Prerequisite(s): Computer Science 482 or Data Science 482.
Antirequisite(s): Credit for Data Science 582 and Computer Science 583 will not be allowed.
Course Attributes
Fee Rate Group(Domestic) - A, Fee Rate Group(International) -A, GFC Hours (3-2T)
Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.
Component
LEC
Component
TUT
Units
3
Repeat for Credit
No
Subject code
DATA