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ERTH 4990: Data Mining and Time Series Forecasting
Discusses data mining, time series forecasting and text mining techniques that can be utilized to effectively sift through large volumes of operational data and extract actionable information and knowledge (meaningful patterns, trends, and anomalies) to help optimize organizational processes and significantly improve bottom lines. The course covers theoretical and practical elements of various data analytics techniques such as natural language processing and advanced time series forecasting, with a focus on hands-on application in different business domains.
- Credits
- 1–3
- Offered
- Fall 2026
- Campuses
- Storrs
- Requirements
- OPIM 5604 or BADM 5604; open only to MBA, MSBAPM, MS in Supply Chain Management, and MS FinTech students, others with consent.
Fall 2026 sections
Taught by Ran Feng.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | PRA | By arrangement | Ran Feng | Storrs | 4 of 5 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.