Week | Chapters/Sections | Topics covered | Remarks |
Week 1 and 2 (Jan 9, 11, 18) | Chapter 1 | Introduction to Forecasting | |
Week 3 (Jan 23, 25, 30) | Chapter 6 | Time Series Regression (sections: 6.1, 6.2, 6.4) | |
Week 4 (Jan 30, Feb 01) | Chapter 6 | Time Series Regression (sections: 6.4, 6.5,) | |
Week 5 (Feb 06, 08) | | Review; Exam I | |
Week 6 (Feb 13, 15) | Chapter 7 | Time Series Decomposition | |
Week 7 (Feb 20, 22) | Chapter 7 | X-12-ARIMA Seasonal Adjustment Method | |
Week 8 ( Feb 27, Mar 01) | | Spring recess | |
Week 9(Mar 06, 08) | Chapter 8 | Exponential Smoothing (sections: 8.1, 8.2, 8.3) | |
Week 10 (Mar 13, 15) | Chapter 8 | Exponential Smoothing (sections: 8.4, 8.5) | |
Week 11 (Mar 20, 22) | Chapter 9 | Non Seasonal Autoregressive (ARIMA) Models (sectionss: 9.1, 9.2) | |
Week 12(Mar 27, 29) | Chapter 9, 10 | Review; Exam | |
Week 13 (Apr 3, 5) | | ARIMA, Model Diagnostic | |
Week 14 (Apr 10, 12) | Chapter 11 | Box-jenkins Seasonal Modeling (ARIMA) | |
Week 15 (Apr 17, 19) | Chapter 12* | Advanced Time Series Models | |