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CSE 5710: Data Mining for Data Science
This course presents an introduction to data mining algorithms in the areas of classification, association analysis, clustering, and anomaly detection, with an emphasis on a conceptual understanding these algorithms along with their application in real-world problems and domains.
- Credits
- 3
- Offered
- Spring 2027
- Campuses
- Storrs
- Requirements
- CSE 5709; Open to graduate students in the M.S. in Data Science program. Recommended preparation: Python programming including open-source libraries: scikit-learn, Numpy, Matplotlib, introductory statistics
Spring 2027 sections
Taught by Joseph Johnson.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 2:00PM - 3:15PM / MoWe | Joseph Johnson | Storrs | ITE 125 | 19 of 25 open |
| 002 | LEC | TBA | Joseph Johnson | Storrs | Online | 24 of 40 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.
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