Schedule

Caution

Lecture room change! Effective now (January 20), all lectures will be in MCML 360. It is a 5 minutes walk from the previous room.

Date	Topics	Readings
Tue, Jan 7	Overview. Probabilistic inference on discrete spaces.	BDA 1.1-1.10
Th, Jan 9
Tue, Jan 14	A tour of Bayesian inference (on discrete spaces).	BDA 2.1-2.5
Th, Jan 16
Tue, Jan 21	Universal probabilistic inference via importance sampling.	BDA 9.1-9.5 (going further on Decision Theory)
Th, Jan 23
Tue, Jan 28	Bayesian classification, regression, GLMs, and beyond.	BDA 14.1-14.5
Th, Jan 30
Tue, Feb 4	Properties of Bayesian models.	BDA 4.1-4.5
Th, Feb 6
Tue, Feb 11	Hierarchical models.	BDA 5.1-5.7
Th, Feb 13
Tue, Feb 18	Reading week.	BDA 16.1-16.7
Th, Feb 20	Reading week.
Tue, Feb 25	Quiz 1.
Th, Feb 27	Quiz debrief. Stan basics. Project logistics.
Tue, Mar 4	MCMC user guide (via Stan).	BDA 11.1-11.6
Th, Mar 6
Tue, Mar 11	Bayesian workflow.	BDA 6.1-6.5
Th, Mar 13
Fri, Mar 14	Project proposal due.
Tue, Mar 18	Modelling techniques (selected from prior design, mixtures, imputation, complex data collection).	BDA 8.1-8.7
Th, Mar 20
Tue, Mar 25	Quiz 2.
Th, Mar 27	MCMC developer guide.
Tue, Apr 1	MCMC developer guide.	BDA 12.1-12.6
Th, Apr 3
Tue, Apr 8	More inference techniques.	BDA 13.7
Fri, Apr 19	Final project due.