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2025 Winter
Apr 22, 2025
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Information Select the desired Level or Schedule Type to find available classes for the course.

CS 890CS - Time Series Forecasting
The course focuses on a study of methods for the time series forecasting, with applications such as forecasting stock prices and retail prices, Traditional statistical methods and data mining methods will be examined and compared with respect to their efficiency and effectiveness for the time series forecasting. A system will be developed for forecasting retail prices for a product.
3.000 Credit hours
3.000 Lecture hours
3.000 Other hours

Levels: Graduate
Schedule Types: Lecture, Research, Directed Reading, Examination

Computer Science Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate

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