IS 445
IS 445 - Data Visualization
Spring 2026
| Title | Rubric | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| Data Visualization | IS445 | ACG | 67427 | LCD | 4 | 1530 - 1650 | T R | 126 Sch of Info Sciences Bldg | Matthew J Turk |
| Data Visualization | IS445 | ACU | 67655 | LCD | 3 | 1530 - 1650 | T R | 126 Sch of Info Sciences Bldg | Matthew J Turk |
| Data Visualization | IS445 | OBG | 74947 | ONL | 4 | 1700 - 1850 | W | Jill Naiman | |
| Data Visualization | IS445 | OBU | 74948 | ONL | 3 | 1700 - 1850 | W | Jill Naiman |
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Official Description
Data visualization is crucial to conveying information drawn from models, observations or investigations. This course will provide an overview of historical and modern techniques for visualizing data, drawing on quantitative, statistical, and network-focused datasets. Topics will include construction of communicative visualizations, the modern software ecosystem of visualization, and techniques for aggregation and interpretation of data through visualization. Particular attention will be paid to the Python ecosystem and multi-dimensional quantitative datasets. Course Information: 3 undergraduate hours. 4 graduate hours.