ITCS 5122/4122 Visual Analytics
Instructors: Professor Jing Yang, Associate Professor Gabriel A Terejanu, Adjunct Faculty Mohammad Farid Atif
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.
Prerequisites: STAT 1220, STAT 1221, STAT 1222, STAT 2122, or STAT 2223, or approval of the instructor
Offered: Summer 2021 – Online/Asynchronous, Fall 2021 – Online/Synchronous and Face-to-Face
ITCS 5122 Cross-listed Course(s): DSBA 5122 and HCIP 5122
Please see Course Catalog for more information on ITCS 4122 and ITCS 5122.
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The textbook may vary each semester.
Prior semesters have used:
- Daniel A. Keim, Jörn Kohlhammer, Geoffrey Ellis, and Florian Mansmann: Mastering the Information Age – Solving Problems with Visual Analytics. http://www.vismaster.eu/book/
- Tamara Munzner. Visualization Analysis and Design. CRC Press, 2014
tools
The tools may vary each semester.
Below are tools used in recent semesters for class projects:
- Tableau
- JavaScript and D3
- Python
- Altair
- Streamlit
supplemental 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.