Index numbers, visualization of simple time series examples, smoothing techniques, stationary time series and autocorrelation, autoregressive moving average processes, modeling and forecasting with ARMA processes, maximum likelihood and least squares estimation, non-stationary time series: ARIMA, seasonal ARIMA, and fractionally Integrated ARIMA.

Pre-requisites: STAT310