IS 445

IS 445 - Data Visualization

Fall 2025

TitleRubricSectionCRNTypeHoursTimesDaysLocationInstructor
Data VisualizationIS445ACG73217LCD40900 - 1150 M  W109 Turner Hall Matthew J Turk
Jingyuan Chen
Yilin Xia
Data VisualizationIS445ACU73218LCD30900 - 1150 M  W109 Turner Hall Matthew J Turk
Jingyuan Chen
Yilin Xia
Data VisualizationIS445BCG76467LCD41200 - 1450 M  4031 Campus Instructional Facility Jill Naiman
Gaozheng Liu
Guangchun Zheng
Ke Ding
Yiliu Tang
Data VisualizationIS445BCU76468LCD31200 - 1450 M  4031 Campus Instructional Facility Jill Naiman
Gaozheng Liu
Guangchun Zheng
Yiliu Tang

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.