QMM 452 - 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.
Prerequisite(s): QMM 241 or QMM 250 or STA 226 with a minimum grade of 2.0 in each course.