1. Review of the general linear model --- 2. Maximum likelihood estimation --- 3. Times series modelling --- 4. Dynamic modelling- the general to specific methodology --- 5. Non-stationarity and cointegration --- 6. Rational expectations --- 7. State-space models and the kalman filter --- 8. Using large non-linear models.