Authorised by Academic Registrar, April 1996
Objectives At the completion of this subject students should have a working knowledge and understanding of the basic concepts and techniques in time series analysis and forecasting; be able to apply these techniques to problems in business computing and information systems; and be able to use statistical software correctly in practical forecasting.
Synopsis Time series forecasting methods, moving average and autoregressive processes, integrated models, trend, cyclical and seasonal effects, random variation, smoothing techniques, point and interval forecasts, checking model adequacy. Use of software.
Assessment Examination (2 hours, open book): 70% + Assignments (3): 30%