This course introduces students to the business forecasting process. They will examine and apply the most commonly used business forecasting methods. Emphasis is on methods that are replicable, testable, and have been shown to work. Simple forecasting methods, time series graphs, judgmental forecasts, time series regression and decomposition, exponential smoothing, and Auto Regressive Integrated Moving Average (ARIMA) models will be investigated. The course discusses practical issues related to the forecasting process.
Preview the Online Syllabus
(Please visit the University bookstore to view the correct materials for each course by semester as the contents of the actual online syllabus may differ from the preview due to updates or revisions)