Detailed Course Information |
Fall 2023
May 09, 2025 |
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| MATH 528 - Regression and Time Series Models |
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Addresses regression topics that include simple and multiple linear regression, polynomial regression, regression diagnostics, and forecasting. Also introduces time series topics that include exponential smoothing, auto-regressive, integrated, moving average (ARIMA) models, and forecasting. Prerequisite: MATH 321 or the equivalent. Not open to students who have credit in MATH 428.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Lecture, Independent Study, Online Fixed Times (Synch), Online (Asynchronous), Study Abroad Mathematical Sciences Department Restrictions: Must be enrolled in one of the following Levels: Graduate Prerequisites: Undergraduate level MATH 321 Minimum Grade of D- |
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