Business Forecasting

Catalog description

An introduction to techniques for developing forecasts for time series data. Forecasting techniques such as smoothing methods, regression, decomposition, and ARIMA models will be covered. Students will learn how to evaluate forecasts, and will examine forecasts from industry and government. Prerequisites: BUS 305 with a grade of C or better or OSCM 310 or consent of Department Chairperson. Note: Open to graduate students. Graduate students are required to do additional work of a research nature