GCO5804

Forecasting methods (not offered in 1999)

This subject introduces the forecasting process through data analysis and model building by identifying and applying both quantitative and qualitative forecasting techniques to practical problems to achieve efficiency in the utilisation of resources. Specific topics covered include characteristics and essentials of forecasting, time-series data analysis, forecasting techniques including regression, moving averages, exponential smoothing, decomposition, subjective assessment methods, and Box-Jenkin ARIMA models. Qualitative methods of forecasting. Integrating forecasting and planning in practice. Use of spreadsheets and computer packages to prepare forecasts and compare different techniques.

Back to the 1999 Distance Education Handbook