Weekly Schedule

Note

While I will do my best to follow this schedule, the schedule is still subject to change. Any changes will be communicated to you in a timely fashion.

Spring 2024

Week #	Dates	Monday	Wednesday
Week 01	Jan 08, 10	Course intro; Python recap [Setup] [Lab 0]	Probability theory & random variables [Reading 1] [Lab 1]
Week 02	Jan 15, 17	MLK Day	Summary statistics [Reading 2] [Lab 2]
Week 03	Jan 22, 24	Classical inference I [Reading 3] [Lab 3]	Classical inference II [Reading 4] [Lab 4]
Week 04	Jan 29, 31	Monte Carlo; importance sampling [Reading 5] [Lab 5]	Stochastic processes [Reading 6] [Lab 6]
Week 05	Feb 05, 07	The Ising model [Reading 7] [Lab 7]	MCMC Algorithms and Considerations [Reading 8] [Lab 8]
Week 06	Feb 12, 14	Bayesian Analysis [Reading 9] [Lab 9]	MCMC Inference [Reading 10] [Lab 10]
Week 07	Feb 19, 21	Presidents Day	Mock exam
Week 08	Feb 26, 28	Review of statistical inference	Mock exam presentation
	Mar 4, 6	Spring Break	Spring Break
Week 09	Mar 11, 13	Introduction to Machine Learning [Reading 11] [Lab 11]	Supervised: Regression I [Reading 12] [Lab 12]
Week 10	Mar 18, 20	Supervised: Regression II [Reading 13][Lab 13]	Final project pre-presentation
Week 11	Mar 25, 27	Supervised: Classification I [Reading 14][Lab 14]	Supervised: Classification II [Reading 15][Lab 15]
Week 12	Apr 01, 03	Supervised: Classification III [Reading 16][Lab 16]	Unsupervised: Clustering [Reading 17][Lab 17]
Week 13	Apr 08, 10	Unsupervised: Dimensionality Reduction [Reading 18][Lab 18]	Review of Machine Learning Methods
Week 14	Apr 15, 17	Final project presentation	Final project presentation
Week 15	Apr 22, 24	What did we miss?	Reading Day