3 weeks...0
4 weeks...6
1 week......5
2 weeks.....0
| Votes | Topic |
| 7 | Mathematical models of time series (e.g. Richardson model,chaos models) (1-2 weeks) |
| 6 | Statistical time series methods beyond 707 (e.g. VAR) (2 weeks) |
| 6 | Event history analysis and Poisson regression (1 week) |
| 5 | Event data analysis and KEDS (1-3 weeks) |
| 4 | Cluster analysis, correspondence analysis and nearest neighbor methods (1-2 weeks) |
| 4 | Content analysis, including CA software (1 week) |
| 4 | Sequence analysis methods (e.g. hidden Markov models) (1 week) |
| 3 | Nonlinear estimation (1 week) |
| 3 | Review of regression methods using matrix algebra (1-2 weeks) |
| 3 | Spreadsheets and statistical graphics software (1 week) |
| 3 | Principal components analysis (1 week) |
| 2 | Regression diagnostics beyond 707 (1 week) |
| 1 | Computer simulation (1-2 weeks) |
| 1 | Factor and discriminant analysis (1 week) |
| 1 | Expert systems and case-based reasoning (1-2 weeks) |
| 1 | Contemporary game theory models in IR (1-2 weeks) |
| 1 | HTML and web site design (1 week) |
| 0 | Machine learning methods (ID3, genetic algorithms, neural networks) (2-3 weeks) |
| 0 | ARIMA/Box-Jenkins (1 week) |
In addition to the required exercises, I would prefer (check one)
0.... A single long research paper (suitable for submission to a journal or presentation at a conference)
5.... Multiple short assignments exploring a variety of topics