Leader: To be advised
Not offered in 2005.
Synopsis: Characteristics and essentials of forecasting, introduction to time-series data analysis, forecasting techniques including regression, moving averages, exponential smoothing, decomposition, subjective assessment methods, and Box-Jenkins ARIMA models. Use of spreadsheets and computer packages to prepare forecasts and compare different techniques.
Assessment: Two assignments: 60% + Examination (3 hours): 40%