Course Schedule
Below is the schedule for the course. Note that this schedule may change as the course progresses.
- All deadlines are at 11:59 PM Pacific Time on the specified date
- Schedule is subject to change based on course needs
- Additional readings and resources will be posted on the course website
Here’s your roadmap for the semester!
Developing intuitions
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Title
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Content
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Assignment
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Week 1
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April 1
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Introduction and Bayes’ theorem
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April 3
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Bayes as counting
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April 7
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Problem set 1 (submit by 23:59:00)
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Week 2
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April 8
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Linear models
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April 10
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Categories
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April 14
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Problem set 2 (submit by 23:59:00)
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Week 3
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April 15
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Causal modeling
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April 17
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More causal modeling
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April 21
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Problem set 3 (submit by 23:59:00)
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Week 4
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April 22
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Good prediction
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April 24
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MCMC
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April 28
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Problem set 4 (submit by 23:59:00)
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Building better models
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Title
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Content
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Assignment
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Week 5
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April 29
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Class cancelled
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May 1
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Binomial regression
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May 5
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Problem set 5 (submit by 23:59:00)
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Week 6
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May 6
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Poisson regression
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May 8
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Ordered categories
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May 12
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Problem set 6 (submit by 23:59:00)
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Week 7
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May 13
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Multilevel models
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May 15
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More multilevel models
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May 19
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Problem set 7 (submit by 23:59:00)
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The random and fun
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Title
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Content
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Assignment
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Week 8
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May 20
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Multivariate priors
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May 22
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Social networks
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May 26
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Problem set 8 (submit by 23:59:00)
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Week 9
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May 27
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Gaussian processes
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May 29
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Measurement
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June 2
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Problem set 9 (submit by 23:59:00)
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Week 10
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June 3
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Missing data
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June 5
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Generalized linear models
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June 9
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Problem set 10 (submit by 23:59:00)
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