Instructor: Prof. Aidong Lu or Prof. Atif Mohammad
Overview
This course introduces the new field of visual analytics, which integrates interactive analytical methods and visualization. Topics include: critical thinking, visual reasoning, perception/cognition, statistical and other analysis techniques, principles of interaction, and applications.
Textbook
Daniel A. Keim, Jörn Kohlhammer, Geoffrey Ellis, and Florian Mansmann: Mastering the Information Age - Solving Problems with Visual Analytics. http://www.vismaster.eu/book/
Tools
The tools may vary each semester. Below are tools typically required for class projects:
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Tableau: Special thanks to Tableau for donating student licenses for Tableau Desktop through their Tableau for Teaching program.
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NodeXL
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JavaScript and D3
Supplimental Reading
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Matthew Ward, Georges Grinstein, and Daniel Keim. Interactive Data Visualization – Foundations, techniques, and applications. A K Peters, 2010
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Colin Ware. Information Visualization: Perception for Design (2nd Edition). Morgan-Kaufmann, 2004.
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Edward Tufte. The Visual Display of Quantitative Information (2nd Edition). Graphics Press, 2001.
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Edward Tufte. Envisioning Information. Graphics Press, 1990.
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Edward Tufte. Visual Explanations: Images and Quantities, Evidence and Narrative. Graphics Press, 1997.