MGT 3660 - Business Forecasting

(3) Credit Hours

A study of forecasting processes including data collection, analysis, model selection, and forecasting accuracy. Moving averages, smoothing models, time-series decomposition, simple regression, autocorrelation models, and Box-Jenkins (ARIMA) methodologies will be studies. Computer applications such as spreadsheets and statistical packages will be extensively used. Spring semester. Prerequisites: MGT 1000 or CPSC 1000 with a minimum grade of C, MGT 2120 with a minimum grade of C, or department head approval. Junior standing. Differential course fee will be assessed.