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 8
Welcome + What Is Bayesian Health Data Science?
HW00 assigned
2
Tu
Jan 13
Monte Carlo Sampling
Th
Jan 15
Markov Chain Monte Carlo
HW 01 assigned, HW00 due
3
Tu
Jan 20
Probabilistic Programming (Intro to Stan!)
Th
Jan 22
Priors, Posteriors, and PPDs!
4
Tu
Jan 27
Model Checking
Th
Jan 29
Model Comparison
HW 02 assigned, HW 01 due
5
Tu
Feb 3
Bayesian Workflow
Th
Feb 5
Nonlinear Regression
6
Tu
Feb 10
Robust Regression
Th
Feb 12
Regularization
HW 03 assigned, HW 02 due
7
Tu
Feb 17
Classification
Th
Feb 19
Multiclass Classification
8
Tu
Feb 24
Hierarchical Models
Th
Feb 26
Longitudinal Data
Exam 01 assigned, HW03 due
9
Tu
Mar 3
Exam 1 Office Hours
Th
Mar 5
Gaussian Processes
HW04 assigned, Exam 01 due
10
Tu
Mar 10
NO CLASS: Spring Break
Th
Mar 12
NO CLASS: Spring Break
11
Tu
Mar 17
Geospatial Modeling
Th
Mar 19
Scalable Gaussian Processes #1
12
Tu
Mar 24
Scalable Gaussian Processes #2
HW 05 assigned, HW04 due
Th
Mar 26
Disease Mapping
13
Tu
Mar 31
Missing Data
Th
Apr 2
Bayesian Clustering
14
Tu
Apr 7
TBD Topic/Live-Coding Review
HW 05 due, Exam 02 assigned
Th
Apr 9
Live-Coding Exercise
15
Tu
Apr 14
Exam 02 Office Hours
Exam 02 due for feedback
Exam period
Tu
Apr 29
Exam 02 due by 5:00pm