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IS 590 DVO - Advanced Problems in IS - Data Visualization

Campus: Urbana-Champaign

Description:

Variety of newly developed and special topics courses on different aspects of the information sciences intended to augment the existing curriculum, offered as sections of IS 590. Course Information: Additional fees may apply. See Class Schedule. 1 to 4 graduate hours. No professional credit. May be repeated. Class Schedule Information: Class materials fee or field trip fee may be required.

Special Instructions:

### 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.

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4

Term(s): Spring


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