QMM 4520 - Forecasting

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Survey of time-series forecasting methods used in business, including trends, exponential smoothing, decomposition, ARIMA, and neural nets. Econometric topics include seasonal binaries, autocorrelation, and lagged variables. Includes case studies and discussion of current economic conditions. Computer tools are used for individual and team projects. (Formerly QMM 452)
Prerequisite(s): (QMM 241 or QMM 2410) or (QMM 250 or QMM 2500) with a minimum grade of 2.0 in each course.