Undergraduate Statistics Course List Graduate Statistics Course List Course Search
Please note that these course listings are subject to change.
Introduction to Data Science I
STAT 11800=DATA 11800
William Trok
Sec 1: TR 9:30 AM–10:50 AM
Harper Memorial 140
Introduction to Data Science I
STAT 11800=DATA 11800
Susanna Lange
Sec 2: MWF 9:30 AM–10:20 AM
Eckhart 133
Introduction to Data Science II
STAT 11900=DATA 11900
Dan Nicolae
Sec 1: TR 9:30 AM–10:50 AM
Stuart 101
Introduction to Data Science II
STAT 11900=DATA 11900
Amanda Kube
Sec 2: TR 11:00 AM–12:20 PM
Ryerson 255
Introduction to Data Science II
STAT 11900=DATA 11900
Amanda Kube
Sec 3: MWF 9:30 AM–10:20 AM
MS 112 (5727 S. University Ave)
Statistical Methods and Applications
STAT 22000
Ryan McShane
Sec 1: MWF 1:30 PM–2:20 PM
Cummings 101
Statistical Methods and Applications
STAT 22000
Ryan McShane
Sec 2: MWF 2:30 PM–3:20 PM
Cummings 101
Applied Regression Analysis
STAT 22400=PBHS 32400
Daniel Xiang
Sec 1: MWF 1:30 PM–2:20 PM
Kent 101
Regression Analysis for Health and Social Research
STAT 22401=PBHS 32410
James Dignam
Sec 1: TR 11:00 AM–12:20 PM
BSLC 218
Analysis of Categorical Data
STAT 22600=PBHS 32600
Yibi Huang
Sec 1: MWF 10:30 AM–11:20 AM
Eckhart 133
Statistical Models and Methods
STAT 23400
Yali Amit
Sec 1: TR 11:00 AM–12:20 PM
Eckhart 133
Numerical Linear Algebra
STAT 24300
Yuxin Zhou
Sec 1: MWF 9:30 AM–10:20 AM
Kent 102
Statistical Theory and Methods I
STAT 24400
Rina Barber
Sec 1: TR 9:30 AM–10:50 AM
Eckhart 133
Statistical Theory and Methods I
STAT 24500
Chao Gao
Sec 1: TR 2:00 PM–3:20 PM
Hinds 101
Statistical Theory and Methods II
STAT 24510=STAT 30040
Mei Wang
Sec 1: TR 11:00 AM–12:20 PM
Cummings 101
Causal Inference Methods and Case Studies
STAT 24630
Jingshu Wang
Sec 1: TR 11:00 AM–12:20 PM
Jones 226
Introduction to Probability Models
STAT 25300=STAT 31700
Cong Ma
Sec 1: TR 12:30 PM–1:50 PM
Eckhart 133
Introduction to Bayesian Data Analysis
STAT 27410
Fei Liu
Sec 1: MWF 9:30 AM–10:20 AM
Kent 103
Machine Learning
STAT 27725=CMSC 25400
Yuxin Chen
Sec 1: TR 9:30 AM–10:50 AM
Ryerson 251
Machine Learning
STAT 27725=CMSC 25400
Yuxin Chen
Sec 2: TR 11:00 AM–12:20 PM
Ryerson 251
Hypothesis Testing with Empirical Bayes Methodology
STAT 27855
Daniel Xiang
Sec 1: TR 12:30 PM–1:50 PM
Ryerson 178
Undergraduate Research
STAT 29700
Yibi Huang
Sec 1
Bachelor's Paper
STAT 29900
Yibi Huang
Sec 1
Statistical Theory and Methods II
STAT 30040=STAT 24510
Mei Wang
Sec 1: TR 11:00 AM–12:20 PM
Cummings 101
Mathematical Statistics I
STAT 30100
Chao Gao
Sec 1: TR 9:30 AM–10:50 PM
Ryerson 177
Mathematical Computation IIA: Convex Optimization
STAT 31015=BUSN 36903, CAAM 31015, CMSC 35470, TTIC 31070
Zhiyuan Li
Sec 1: MW 11:00 AM–12:20 PM
TTIC 530
Mathematical Computation IIB: Nonlinear Optimization
STAT 31020=CAAM 31020
Mihai Anitescu
Sec 1: MW 1:30 PM–2:50 PM
Eckhart 133
Mathematical Computation III: Numerical Methods for PDE's
STAT 31100=CAAM 31100, CMSC 37812, MATH 38309
Jeremy Hoskins
Sec 1: TR 2:00 PM–3:20 PM
Jones 226
Applied Functional Analysis
STAT 31210=CAAM 31210
Guillaume Bal
Sec 1: MW 9:30 AM–10:50 AM
Jones 226
Homogenization of Partial Differential Equations
STAT 31260=CAAM 31260
Thuyen Dang
Sec 1: TR 12:30 PM–1:50 PM
Jones 226
Applied Fourier Analysis
STAT 31460=CAAM 31460
Eric Baer
Sec 1: TR 9:30 AM–10:50 AM
Jones 303
Introduction to Probability Models
STAT 31700=STAT 25300
Cong Ma
Sec 1: TR 12:30 PM–1:50 PM
Eckhart 133
Introduction to Causal Inference
STAT 31900=CHDV 20102, CHDV 30102, MACS 51000, PBHS 43201, PLSC 30102, SOCI 30315
Guanglei Hong
Sec 1: W 1:30 PM–4:20 PM
Rosenwald 015
Time-series Analysis for Forecasting and Model Building
STAT 33500=BUSN 41910
Jeffrey Russell
Sec 50: Th 1:30 PM–4:20 PM
Charles M. Harper Center 3B
Financial Statistics: Time Series, Forecasting, Mean Reversion, and High Frequency Data
STAT 33910=FINM 33170
Per Mykland
Sec 1: F 1:30 PM–4:20 PM
MS 112 (5727 S. University Ave)
Generalized Linear Models
STAT 34700
Jingshu Wang
Sec 1: TR 2:00 PM–3:20 PM
Eckhart 133
Genomic Evolution I
STAT 35410=ECEV 35901, EVOL 35901
Manyuan Long
Sec 1: TBA
TBA
Fundamentals of Computational Biology: Models and Inference
STAT 35450=HGEN 48600
Matthew Stephens and John Novembre
Sec 1: TR 3:30 PM–4:50 PM
BSLC 218
Epidemiologic Methods
STAT 35700=PBHS 31001
Brian Chiu
Sec 1: TR 12:30 PM–1:50 PM
BSLC 202
Applied Longitudinal Data Analysis
STAT 36900=CHDV 32501, PBHS 33300
Donald Hedeker
Sec 1: TR 9:30 AM–10:50 AM
BSLC 218
Machine Learning on Graphs, Groups, and Manifolds
STAT 37788=CAAM 37788, CMSC 35430
Risi Kondor
Sec 1: MW 1:30 PM–2:50 PM
Ryerson 177
Topics in Mathematical Data Science: Spectral Methods and Nonconvex Optimization
STAT 37797
Cong Ma
Sec 1: TR 9:30 AM–10:50 AM
Jones 226
Measure-Theoretic Probability I
STAT 38100
Chao Gao
Sec 1: TR 11:00 AM–12:20 PM
Jones 303
Stochastic Calculus
STAT 39000=FINM 34500
Greg Lawler
Sec 1: MW 3:00 PM–4:20 PM
KPTC 106
Master's Seminar
STAT 39900
Mei Wang
Sec 1
Reading and Research: Statistics
STAT 40100
Causal Inference in Randomized Experiments and Observational Studies
STAT 41541
Xinran Li
Sec 1: MW 3:00 PM-4:20 PM
Jones 226
Empirical Bayes
STAT 41551
Nikos Ignatiadis
Sec 1: MW 1:30 PM-2:50 PM
Jones 226
Theories of Cortical Circuit Dynamics and Computation
STAT 42610=CAAM 42610, CPNS 32610
Brent Doiron
Sec 1: TR 3:30 PM-4:50 PM
Jones 226
Consulting in Statistics
STAT 44100
Claire Donnat and Mei Wang
Sec 1: W 12:00 PM-1:00 PM
Jones 303