PART 1: STATISTICS
| 1 | 28 August | Probability and Statistics Review |
| 2 | 4 September | Correlations and Hypothesis Testing |
| 3 | 11 September | Parameter Estimation with Uncertainties |
| 4 | 18 September | Data with Upper Limits |
| 5 | 25 September | Distribution Functions and Bias |
PART 2: TIME SERIES ANALYSIS
| 6 | 2 October | Evenly Binned Data: Fourier Analysis |
| 7 | 9 October | Gapped Data: Periodograms and Correlations |
| 8 | 16 October | Event Data: Epoch Folding and Rayleigh Tests |
| 9 | 23 October | Phase Timing Data: Sparse Samples and Drifts |
| 10 | 30 October | Bayesian Methods |
PART 3: SPATIAL ANALYSIS
| 11 | 6 November | Source Detection |
| 12 | 13 November | Sparse Data and Poisson Statistics |
| 13 | 20 November | Clustering and Pattern Detection |
| 27 November | No Class - Thanksgiving | |
| 14 | 4 December | Image Deconvolutions and the Maximum Entropy Method |
| 11 December | Take Home Final Exam is Due |