ITCS 5122/4122 Visual Analytics (Fall, Spring) (Evenings)


Instructor: Prof. Aidong Lu or Prof. Atif Mohammad 



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.




Daniel A. Keim, Jörn Kohlhammer, Geoffrey Ellis, and Florian Mansmann: Mastering the Information Age - Solving Problems with Visual Analytics.




The tools may vary each semester. Below are tools typically required for class projects:

  • Tableau: Special thanks to Tableau for donating student licenses for Tableau Desktop through their Tableau for Teaching program.

  • NodeXL

  • JavaScript and D3



Supplimental Reading

  • Matthew Ward, Georges Grinstein, and Daniel Keim. Interactive Data Visualization – Foundations, techniques, and applications. A K Peters, 2010

  • Colin Ware. Information Visualization: Perception for Design (2nd Edition). Morgan-Kaufmann, 2004.

  • Edward Tufte. The Visual Display of Quantitative Information (2nd Edition). Graphics Press, 2001.

  • Edward Tufte. Envisioning Information. Graphics Press, 1990.

  • Edward Tufte. Visual Explanations: Images and Quantities, Evidence and Narrative. Graphics Press, 1997.