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Research School of Economics · ANU College of Business and Economics
Accurate forecasting of future events and their outcomes is a crucial input into a successful business or economic planning process. This course provides an introduction to the application of various forecasting techniques. The methods include trend curve extrapolation, smoothing, autoregressions, regression modelling, and leading indicators, as well as additional topics on forecasting. The course also looks at techniques for the evaluation of performance of forecasting methods and examines the role of forecasts in the decision making process. Students will learn how to use the various techniques in real world forecasting applications.
Assessment will consist of a Final Exam, mid-semester exam(s), quizzes, assignment or some combination thereof. See the Class Summary for details.
Learning outcomes 1, 2, 3, 4, 5
Students taking this course are expected to commit at least 10 hours per week of study - consisting of 4 contact hours per week (lectures and tutorial) plus private study time.
See Class Summary and Wattle site