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CSE 5520: Data Visualization and Communication
This course will focus on fundamental theory and practice of data visualization and communication. Topics to be covered include different data types, algorithms for data visualization, design of effective visualization for analysis and communication, exploratory and explanatory data analysis (for discovery of new information, detecting flaws, etc.), using data visualization to convey different messages, existing tools for data visualization, and making presentations with data. Several case studies, such as engineering, economics, or health, will be discussed.
- Credits
- 3
- Offered
- Fall 2026
- Campuses
- Storrs
- Requirements
- Only open to Computer Science and Engineering graduate students, others with permission. Recommended preparation: knowledge of algorithms, some programming experience required.
Fall 2026 sections
Taught by Seung-Hyun Hong.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001X | LEC | TBA | Seung-Hyun Hong | Storrs | Online | 14 of 20 open |
| 002 | LEC | 2:00PM - 3:15PM / TuTh | Seung-Hyun Hong | Storrs | ITE 125 | 16 of 30 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.
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