Undergraduate Statistics Course List Graduate Statistics Course List Course Search
Please note that these course listings are subject to change.
Introduction to Data Science II
STAT 11900=DATA 11900, CMSC 11900
William Trimble
Sec 1: TR 9:30 AM–10:50 AM
Ryerson 251
Introduction to Data Science II
STAT 11900=DATA 11900, CMSC 11900
Amy Nussbaum
Sec 2: MWF 9:30 AM–10:20 AM
Ryerson 251
Collaborative Learning in Statistics 22000
STAT 12001
Kendra Burbank
Section 1: TBA
TBA
Statistical Methods and Applications
STAT 22000
Fei Liu
Sec 1: MWF 9:30 AM–10:20 AM
Eckhart 133
Statistical Methods and Applications
STAT 22000
Yandi Shen
Sec 2: MWF 10:30 AM–11:20 AM
Eckhart 133
Statistical Methods and Applications
STAT 22000
Yandi Shen
Sec 3: MWF 11:30 AM–12:20 PM
Eckhart 133
Statistical Methods and Applications
STAT 22000
Yibi Huang
Sec 4: MWF 1:30 PM–2:20 PM
Cummings 101
Linear Models and Experimental Design
STAT 22200
Yibi Huang
Sec 1: MWF 10:30 AM-11:20 AM
Cummings 101
Applied Regression Analysis
STAT 22400=PBHS 32400
Kendra Burbank
Sec 1: MW 1:30 PM-2:50 PM
Eckhart 133
Biostatistical Methods
STAT 22700=PBHS 32700
Lin Chen
Sec 1: TR 12:30 PM-1:50 PM
BSLC 324
Statistical Models and Method 1
STAT 23400
Yier Lin
Sec 1: TR 12:30 PM-1:50 PM
Eckhart 133
Statistical Models and Method 1
STAT 23400
Yier Lin
Sec 2: TR 2:00 PM-3:20 PM
Eckhart 133
Statistical Models and Method 1
STAT 23400
Rohan Hore
Sec 3: TR 3:30 PM-4:50 PM
Eckhart 202
Numerical Linear Algebra: An Introduction to Computation
STAT 23410=CAAM 24310
Alexander Strang
Sec 3: TR 12:30 PM-1:50 PM
Eckhart 206
Statistical Theory and Method 2
STAT 24500
Wei Biao Wu
Sec 1: TR 9:30 AM–10:50 AM
Eckhart 206
Multivariate Statistical Analysis: Applications and Techniques
STAT 24620=STAT 32950
Mei Wang
Sec 1: TR 9:30 AM–10:50 AM
Eckhart 133
Multivariate Statistical Analysis: Applications and Techniques
STAT 24620=STAT 32950
Mei Wang
Sec 2: TR 11:00 AM–12:20 PM
Eckhart 133
Introduction to Mathematical Probability-1
STAT 25100
Zhongjian Wang
Sec 1: MWF 12:30 PM–1:20 PM
Eckhart 133
Introduction to Bayesian Data Analysis
STAT 27410
Fei Liu
Sec 1: MWF 11:30 AM-12:20 PM
Kent 106
Mathematical Foundations of Machine Learning
STAT 27700=CMSC 25300, CMSC 35300
Haifeng Xu
Sec 1: WF 1:30 PM-2:50 PM
Kent 107
Trustworthy Machine Learning
STAT 27751=DATA 27751, STAT 37787
Victor Veitch
Sec 1: TR 11:00 AM-12:20 PM
Eckhart 206
Optimization
STAT 28000=CAAM 28000
Lek-Heng Lim
Sec 1: MW 3:00 PM-4:20 PM
Eckhart 133
Undergrad Research: Statistics
STAT 29700
Mary Sara McPeek
Bachelor's Paper: Statistics
STAT 29900
Mary Sara McPeek
Mathematical Statistics II
STAT 30200
Claire Donnat
Sec 1: TR 12:30 PM-1:50 PM
Jones 226
STAT 31050=CAAM 31050
Jeremy Hoskins
Sec 1: MW 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
Mary Silber
Sec 1: TR 2:00 PM-3:20 PM
Ryerson 176
Monte Carlo Simulation
STAT 31511=CAAM 31511
Daniel Sanz-Alonso
Sec 1: TR 11:00 AM-12:20 PM
Harper Memorial 130
Multivariate Statistical Analysis: Applications and Techniques
STAT 32950=STAT 24620
Mei Wang
Sec 1: TR 9:30 AM–10:50 AM
Eckhart 133
Multivariate Statistical Analysis: Applications and Techniques
STAT 32950=STAT 24620
Mei Wang
Sec 2: TR 11:00 AM–12:20 PM
Eckhart 133
Mediation, Moderation, and Spillover Effects
STAT 33211=CCTS 32411, CHDV 32411, EDSO 32411, PBPL 29411, PSYC 32411, SOCI 30318
Guanglei Hong
Sec 1: W 1:30 PM-4:20 PM
Pick 022
Bayesian Statistical Inference and Machine Learning
STAT 33400=FINM 33210
William Ritter
Sec 1: F 1:30 PM-4:20 PM
MS 112
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: MW 1:30 PM–2:50 PM
Jones 226
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
Applied Bayesian Modeling and Inference
STAT 35920=PBHS 43010
Yuan Ji
Sec1: TR 12:30 PM-1:50 PM
BSLC 313
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
Yuxin Chen
Sec 1: TR 9:30 AM-10:50 PM
Ryerson 276
Representation Learning in Machine Learning
STAT 37784=DATA 37784
Victor Veitch
Sec 1: TR 3:30 PM-4:50 PM
Jones 226
Modern Approaches for Computational Quantum Problems
STAT 37785=CAAM 37785
Yuehaw Khoo
Sec 1: TR 12:30 PM-1:50 PM
Ryerson 255
Trustworthy Machine Learning
STAT 37787=DATA 27751, STAT 27751
Victor Veitch
Sec 1: TR 11:00 AM-12:20 PM
Eckhart 206
Measure-Theoretic Probability III
STAT 38300
Per Mykland
Sec 1: TR 11:00 AM-12:20 PM
Jones 226
Master's Seminar: Statistics
STAT 39900
Mei Wang
Reading and Research: Statistics
STAT 40100
Consulting in Statistics
STAT 44100
Mei Wang and Claire Donnat
Sec 1: W 12:00 PM-1:00 PM
Jones 303