Applied Business Forecasting
ECMT6003
This unit aims to provide an introduction to the practice of forecasting in business. Forecasting requires both practical experience in model building and some statistical theory. To blend the theory and practice, many business forecasting examples are discussed. Excel is used to do useful preliminary calculations and plotting. At the end of this unit, students should be able to understand the major techniques of forecasting and be able to intelligently forecast actual business time series using Excel and its extensions. Topics covered include: the aims of forecasting and relation to time series analysis; types of time series; plotting and charting time series; practical examples of forecasting and forecasting issues; growth curve methods; least squares (what you need to know for forecasting); decomposition of time series; elementary exponential smoothing with Excel; serial correlation (and Durbin Watson statistic); applied ARIMA modelling and identifying seasonality and "hidden" periodicities.
Unit of study details
Unit of study level: Postgraduate
Credit points: 6
Commencing semesters: 2
Further unit of study information
Unit of study handbook: ECMT6003
Costs and scholarships information: Costs and Scholarships
Final dates to withdraw from units of study: Census Dates
Available for study abroad and exchange: Yes