PDF description here
02/18: Bayesian Reasoning
02/21-02/25: Probability, Data, Hypotheses
03/04-03/07: Random Variables, Expected Value
03/09-03/14: Bayesian Inference About Parameters
03/23-03/28: Approximate Inference
03/30-04/01: Markov Chain Monte Carlo
04/11-04/15: Hierarchical Models
04/18-04/22: Predictive Checks
04/29: Model Comparison
05/11-05/13: Cross-Validation
05/18-05/23: Linear Regression