QNT 745 - Data Visualization

3 credit(s)
This project oriented course introduces students to methods for visually exploring and communicating qualitative and quantitative data. Particular emphasis is placed on mapping the unique properties of emerging data sources to visual domains. Topics covered include introductory data analysis involving domain, range and dimensionality. Students are exposed to a variety of publicly available data sources and learn to utilize human perception to visually represent data. Discussion topics include data and visual complexity and constraints, spatio-temporal relationships and multiple visualization frameworks.
Prerequisite(s): QNT 712 or permission of instructor.

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