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.