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
Evelyn Campbell
Sec 1: MWF 9:30 AM–10:20 AM
Ryerson 251
Introduction to Data Science II
STAT 11900=DATA 11900
David Biron, William Trimble
Sec 1: TR 9:30 AM–10:50 AM
Rosenwald 011
Introduction to Data Science II
STAT 11900=DATA 11900
Susanna Lange
Sec 2: MWF 9:30 AM–10:20 AM
Hinds 101
Introduction to Data Science II
STAT 11900=DATA 11900
Satadisha Saha Bhowmick
Sec 3: MWF 10:30 AM–11:20 AM
Ryerson 276
Elementary Statistics
STAT 20000
Yibi Huang
Sec 1: MWF 10:30 AM–11:20 AM
MS 112 (5727 S. University Ave)
Statistical Methods and Applications
STAT 22000
Fei Liu
Sec 1: MWF 9:30 AM–10:20 AM
Stuart 101
Statistical Methods and Applications
STAT 22000
Fei Liu
Sec 2: MWF 10:30 AM–11:20 AM
Stuart 101
Statistical Methods and Applications
STAT 22000
Daniel Xiang
Sec 3: MWF 9:30 AM–10:20 AM
Eckhart 133
Statistical Methods and Applications
STAT 22000
Daniel Xiang
Sec 4: MWF 10:30 AM–11:20 AM
Eckhart 133
Linear Models and Experimental Design
STAT 22200
Yibi Huang
Sec 1: MWF 11:30 AM–12:20 PM
MS 112 (5727 S. University Ave)
Biostatistical Methods
STAT 22700
Lin Chen
Sec 1: TR 12:30 PM–1:50 PM
BSLC 324
Statistical Models and Methods
STAT 23400
Yier Lin
Sec 1: TR 11:00 AM–12:20 PM
Eckhart 133
Statistical Models and Methods
STAT 23400
Soumyabrata Kundu
Sec 2: TR 2:00 PM–3:20 PM
Eckhart 133
Numerical Linear Algebra: An Introduction to Computation
STAT 24310
Yuehaw Khoo
Sec 1: TR 9:30 AM–10:50 AM
Ryerson 277
Applications in Numerical Linear Algebra
STAT 24320
Kendra Burbank
Sec 1: MW 1:30 PM–2:50 PM
Saieh 141
Statistical Theory and Methods II
STAT 24500
Mihai Anitescu
Sec 1: MW 1:30 PM–2:50 PM
Eckhart 133
Multivariate Statistical Analysis: Applications and Techniques
STAT 24620=STAT 32950
Mei Wang
Sec 1: TR 9:30 AM–10:50 AM
Eckhart 133
Introduction to Mathematical Probability
STAT 25100
Xinran Li
Sec 1: MWF 9:30 AM–10:20 AM
MS 112 (5727 S. University Ave)
Introduction to Mathematical Probability
STAT 25100
Yuxin Zhou
Sec 2: MWF 12:30 PM–1:20 PM
Eckhart 133
Nonparametric Inference
STAT 27400=STAT 37400
Claire Donnat
Sec 1: TR 3:30 PM–4:50 PM
Jones 226
Mathematical Foundations of Machine Learning
STAT 27700=CMSC 25300, CMSC 35300
Haifeng Xu
Sec 1: TR 9:30 AM–10:50 AM
MS 112 (5727 S. University Ave)
Mathematical Foundations of Machine Learning
STAT 27700=CMSC 25300, CMSC 35300
Haifeng Xu
Sec 2: TR 11:00 AM–12:20 PM
MS 112 (5727 S. University Ave)
Mathematical Foundations of Machine Learning
STAT 27700=CMSC 25300, CMSC 35300
Hannah Morgan
Sec 3: TR 2:00 PM–3:20 PM
Stuart 101
Practical R Programming
STAT 27815=STAT 37815
Ryan McShane
Sec 1: MW 1:30 PM–3:20 PM
Jones 226
Optimization
STAT 28000=CAAM 28000
Lek-Heng Lim
Sec 1: MW 3:00 PM–4:20 PM
Eckhart 133
Dynamical Systems with Applications
STAT 28200=CAAM 28200
Mary Silber
Sec 1: TR 9:30 AM–10:50 AM
Jones 226
Undergraduate Research
STAT 29700
Yibi Huang
Sec 1
Bachelor's Paper
STAT 29900
Yibi Huang
Sec 1
Mathematical Statistics 2
STAT 30200
Claire Donnat
Sec 1: TR 12:30 PM–1:50 PM
Jones 226
High Dimensional Time Series Analysis
STAT 30810
Wei Biao Wu
Sec 1: MWF 9:30 AM–10:20 AM
Saieh 103
Applied Approximation Theory
STAT 31050=CCAM 31050
Jeremy Hoskins
Sec 1: MW 9:30 AM–10:50 AM
Jones 303
Partial Differential Equations
STAT 31220=CAAM 31220
Guillaume Bal
Sec 1: TR 11:00 AM–12:20 PM
Jones 226
Variational Methods in Image Processing
STAT 31240=CAAM 31240
Eric Baer
Sec 1: MW 9:30 AM–10:50 AM
Jones 226
Applied Partial Differential Equations
STAT 31450=CAAM 31450
Anjali Nair
Sec 1: TR 11:00 AM–12:20 PM
Ryerson 255
Monte Carlo Simulation
STAT 31511=CAAM 31511
Daniel Sanz-Alonso
Sec 1: TR 2:00 PM–3:20 PM
Eckhart 203
Analysis of Sampling Algorithms
STAT 31512
Frederic Koehler
Sec 1: MW 3:00 PM–4:20 PM
Ryerson 176
Multivariate Statistical Analysis: Applications and Techniques
STAT 32950=STAT 24620
Mei Wang
Sec 1: TR 9:30 AM–10:50 AM
Eckhart 133
Modern Methods in Applied Statistics
STAT 34800
Aaron Schein
Sec 1: TR 3:30 PM–4:50 PM
Eckhart 133
Data Analysis Project
STAT 34900
Mary Sara McPeek
Sec 1: TR 2:00 PM–3:20 PM
Jones 226
Stochastic Processes in Gene Regulation
STAT 35420=CAAM 35420, ECEV 35420, MGCB 35420
John Reinitz
Sec 1: MW 3:00 PM–4:20 PM
Ryerson 178
Fundamentals of Computational Biology: Algorithms and Applications
STAT 35460=HGEN 48800
Mengjie Chen, Xin He
Sec 1: MW 1:30 PM–2:50 PM
BSLC 305
Statistical Genetics
STAT 35500
Mary Sara McPeek
Sec 1: W 1:30 PM–4:20 PM
Jones 303
Statistical Algorithms for Single-Cell Omics and Related Techniques
STAT 35510
Jingshu Wang
Sec 1: MW 1:30 PM–2:50 PM
Ryerson 178
Applied Bayesian Modeling and Inference
STAT 35920=PBHS 43010
Yuan Ji
Sec 1: TR 12:30 PM–1:50 PM
BSLC 205
Nonparametric Inference
STAT 37400=STAT 27400
Claire Donnat
Sec 1: TR 3:30 PM–4:50 PM
Jones 226
Machine Learning and Large-Scale Data Analysis
STAT 37601=CMSC 25025
Yali Amit
Sec 1: TR 2:00 PM–3:20 PM
Ryerson 251
Machine Learning
STAT 37710=CAAM 37710, CMSC 35400
Risi Kondor
Sec 1: TR 9:30 AM–10:50 AM
Rosenwald 015
Solving PDEs with Machine Learning
STAT 37783
Yuehaw Khoo
Sec 1: TR 12:30 PM–1:50 PM
Eckhart 133
Representation Learning with Machine Learning
STAT 37784=DATA 37784
Victor Veitch
Sec 1: TR 11:00 AM–12:20 PM
Jones 303
Practical R Programming
STAT 37815=STAT 27815
Ryan McShane
Sec 1: MW 1:30 PM–3:20 PM
Jones 226
Measure-Theoretic Probability III
STAT 38300
Per Myland
Sec 1: MW 1:30 PM–2:50 PM
Ryerson 176
Topics in Random Matrix Theory
STAT 38520=CAAM 38520
Yier Lin
Sec 1: TR 2:00 PM–3:20 PM
Jones 303
Masters Seminar: Statistics
STAT 39900
Mei Wang
Sec 1
Reading/Research: Statistics
STAT 40100
Sec 1
Theoretical Neuroscience: Statistics and Information Theory
STAT 42600=CPNS 35600, ORGB 42600
Stephanie Palmer
Sec 1: TR 9:30 AM–10:50 AM
Jones 303
Consulting in Statistics
STAT 44100
Claire Donnat, Mei Wang
Sec 1: W 12:00 PM–1:00 PM
Jones 303