Weekly Schedule

Warning

This is only a preliminary schedule for Spring 2025 and is subject to change.

Week #	Dates	Monday	Wednesday
Week 01	Jan 06, 08	Course introduction and setup	Probability theory & random variables [Reading 1]
Week 02	Jan 13, 15	MLK Day	Summary statistics [Reading 2]
Week 03	Jan 20, 22	Maximum Likelihood Estimation	Estimating and comparing distributions
Week 04	Jan 27, 29	Monte Carlo; importance sampling	The Ising model
Week 05	Feb 03, 05	MCMC Algorithms	Bayesian Analysis I
Week 06	Feb 10, 12	Bayesian Analysis II	MCMC Inference
Week 07	Feb 17, 19	Presidents Day	Mock exam
Week 08	Feb 24, 26	Review of statistical inference	Mock exam presentation
Week 09	Mar 03, 05	Introduction to Machine Learning	Supervised: Regression I
	Mar 10, 12	Spring Break	Spring Break
Week 10	Mar 17, 19	Supervised: Regression II	Final project pre-presentation
Week 11	Mar 24, 26	Supervised: Classification I	Supervised: Classification II
Week 12	Mar 31, Apr 2	Supervised: Classification III	Unsupervised: Clustering
Week 13	Apr 07, 09	Unsupervised: Dimensionality Reduction	Review of Machine Learning Methods
Week 14	Apr 14, 16	Final project presentation	Final project presentation
Week 15	Apr 21, 23	Other topics	Reading Day