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Course schedule

Here is a weekly breakdown for the course in terms of readings and topics.

Week Date Topic Course notes chapter Gelman and Hill chapter(s)
1 1/15 Linear models 1 3, 4
2 1/22 Likelihood 2 18
3 1/29 Bayesian inference 3 18
4 2/5 Poisson models 4 6
5 2/12 Binomial models 5 5, 6
6 2/19 Partial pooling 6 11, 12
7 2/26 Bayesian hierarchical models 7 13
8 3/4 Project proposal presentations
9 3/11 Project proposal presentations
10 3/18 Constructing hierarchical models 8 14, 15
11 3/25 Spring break: no class
12 4/1 Independent projects
13 4/8 Independent projects
14 4/15 Independent projects
15 4/22 Final student presentations
16 4/29 Final student presentations
17 5/6 Final student presentations