OSCM 425 - Business Forecasting

3 Credits

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 consent of Department Chairperson.

Note
Open to graduate students. Graduate students are required to do additional work of a research nature.

View available class schedules