Courses

Tentative information about Fall 2020 Courses is posted below. The Statistics Department also offers some courses online.

Fall	Course Title	Instructor	Day(s)	Time(s)	Location
Stat 91r	Supervised Reading & Research	Kevin Rader
Stat 99r	Tutorial - Senior Year	Alexander Young
Stat 104	Intro to Quant Methods for Econ & Soc Sci	Katy McKeough
Stat 110	Intro to Probability	Joe Blitzstein
Stat 120	Applied Bayesian Inference	Samuel Kou
Stat 121A	Data Science 1	Kevin Rader, Pavlos Protopapas
Stat 123	Quantitative Finance	Stephen Blyth
Stat 139	Linear Models	Kevin Rader
Stat 151	Multilevel and Longitudinal Models	Luke Miratrix
Stat 185	Introduction to Dimension Reduction	Alexander Young
Stat 195	Intro to Statistical Machine Learning	Lucas Janson
Stat 210	Probability 1	Joe Blitzstein
Stat 211	Statistical Inference 1	Lucas Janson
Stat 221	Monte Carlo Methods & Other Computational Tools for Statistical...	Jun Liu
Stat 230	Multivariate Statistical Analysis	Samuael Kou
Stat 236	Modern Statistical Learning	Zheng Tracy Ke
Stat 244	Linear & Generalized Lineral Models	Mark Glickman
Stat 300 HFRA	Research in Statistics	Neil Shephard & Mark Glickman
Stat 303 HFA	The Art & Practice of Teaching Statistics	Xiao-Li Meng, Pragya Sur
Stat 305R	Statistical Consulting	Lucas Janson
Stat 310 HFRA	Topics in Astrostatistics	Xiao-Li Meng and Astrophysics Collaborators
Stat 314 HFRA	Timely Topics in Statistics	Subhabrata Sen
Stat 314 HFRA	Colloquium	(314 HFRA split meeting pattern)
Stat 366	Introduction to Research	Jun Liu