This page contains an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses, with all changes documented here.
1
Th
Jan 9
Welcome + What Is Bayesian Health Data Science?
HW00 assigned
2
Tu
Jan 14
Monte Carlo Sampling
Th
Jan 16
Markov Chain Monte Carlo
HW 01 assigned, HW00 due
3
Tu
Jan 21
Probabilistic Programming (Intro to Stan!)
Th
Jan 23
Priors, Posteriors, and PPDs!
4
Tu
Jan 28
Model Checking
Th
Jan 30
Model Comparison
HW 02 assigned, HW 01 due
5
Tu
Feb 4
Bayesian Workflow
Th
Feb 6
Nonlinear Regression
6
Tu
Feb 11
Robust Regression
Th
Feb 13
Regularization
HW 03 assigned, HW 02 due
7
Tu
Feb 18
Classification
Th
Feb 20
Multiclass Classification
8
Tu
Feb 25
Missing Data
Th
Feb 27
Hierarchical Models
Exam 01 assigned, HW03 due
9
Tu
Mar 4
Exam 1 Office Hours
Th
Mar 6
Longitudinal Data
HW04 assigned, Exam 01 due
10
Tu
Mar 11
NO CLASS: Spring Break
Th
Mar 13
NO CLASS: Spring Break
11
Tu
Mar 18
Gaussian Processes
Th
Mar 20
Geospatial Modeling
12
Tu
Mar 25
Disease Mapping
HW 05 assigned, HW04 due
Th
Mar 27
Bayesian Meta-Analysis
13
Tu
Apr 1
Scalable Gaussian Processes #1
Th
Apr 3
Scalable Gaussian Processes #2
14
Tu
Apr 8
Bayesian Clustering
HW 05 due, Exam 02 assigned
Th
Apr 10
Live-Coding Exercise
15
Tu
Apr 15
Exam 02 Office Hours
Exam 02 due for feedback
Exam period
Tu
Apr 29
Exam 02 due by 12:00pm