| Week | Date(s) | Event/Topic | Due Dates |
|---|
| 1 | Jan 29 | Getting started with Jupyter and Python | |
| 2 | Feb 5 | What is Time Series? | |
| 3 | Feb 3 and 5 | Mixed-Frequency Data; Stationarity | |
| 4 | Feb 10 and 12 | Class Discussion; MA Model | |
| 5 | Feb 17 and 19 | AR Model; ARIMA Model | |
| 6 | Feb 24 and 26 | Review Day (Tue); Exam 1 (Thu) | Problem Set 1: Mon, Feb 23, 9am |
| 7 | Mar 3 and 5 | VAR Model | |
| 8 | Mar 17 and 19 | Class Discussion; VAR Examples | |
| 9 | Mar 24 and 26 | VECM | |
| 10 | Mar 31 and Apr 2 | State Space Model | |
| 11 | Apr 7 and 9 | Review Day (Tue); Exam 2 (Thu) | Problem Set 2: Mon, Apr 6, 9am |
| 12 | Apr 14 and 16 | RBC Model | |
| 13 | Apr 21 and 23 | Presentations | Problem Set 3: Fri, Apr 24, 5pm |
| 14 | Apr 28 and May 30 | Presentations | Replication Exercise: Fri, May 1, 5pm |
| — | Tue, May 12, 9-11am | Exam 3 (Comprehensive Final) | |