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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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