Autumn 2021 Course Offerings

Please note that this schedule is subject to change.

Introduction to Data Science I
STAT 11800=CMSC 11800
Dan Nicolae and Michael Franklin
Sec 1: TR 9:30 AM-10:50 AM 
Ryerson 251

Elementary Statistics
STAT 20000
Kendra Burbank
Sec 1: MWF 10:30 AM–11:20 AM
Stuart 102

Statistical Methods and Applications
STAT 22000
Kendra Burbank
Sec 1: TR 9:30 AM–10:50 AM
Social Sciences 122

Statistical Methods and Applications
STAT 22000
Kendra Burbank
Sec 2: TR 11:00 AM–12:20 PM
Social Sciences 122

Statistical Methods and Applications
STAT 22000
Yandi Shen
Sec 3: TR 2:00 PM–3:20 PM
MS 112 (5727 S. University Ave)

Applied Regression Analysis
STAT 22400=PBHS 32400
Yibi Huang
Sec 1: MWF 9:30 AM–10:20 AM
Social Sciences 122

Epidemiology and Population Health
STAT 22810=ENST 27400, HLTH 20910, PBHS 30910, PPHA 36410
Diane Lauderdale
Sec 1: TR 3:30 PM–4:50 PM
BSLC 001

Statistical Models and Methods I
STAT 23400
Fei Liu
Sec 1: MWF 9:30 AM–10:20 AM
Eckhart 133

Statistical Models and Methods I
STAT 23400
Fei Liu
Sec 2: MWF 12:30 PM–1:20 PM
Eckhart 133

Numerical Linear Algebra
STAT 24300=STAT 30750
Alexander Strang
Sec 1: MW 1:30 PM–2:50 PM
Eckhart 133

Statistical Theory and Methods I
STAT 24400
Rina Foygel Barber
Sec 1: TR 2:00 PM–3:20 PM
Eckhart 133

Statistical Theory and Methods I
STAT 24400
Yi Sun
Sec 2: TR 3:30 PM–4:50 PM
Hinds 101

Statistical Theory and Methods Ia
STAT 24410=STAT 30030
Daniel Sanz-Alonso
Sec 1: TR 2:00 PM–3:20 PM
Harper 140

Introduction to Mathematical Probability
STAT 25100
Pierre Yves Gaudreau Lamarre
Sec 1: MWF 10:30 AM–11:20 AM
Eckhart 133

Introduction to Mathematical Probability
STAT 25100
Daniel Massatt
Sec 2: MWF 11:30 AM–12:20 PM
Eckhart 133

Time Dependent Data
STAT 26100=STAT 33600
Wei Biao Wu
Sec 1: TR 9:30 AM–10:50 AM
Eckhart 133

Introduction to Causality with Machine Learning
STAT 27420
Victor Veitch
Sec 1: TR 3:30 PM-4:50 PM
Rosenwald 011

Mathematical Foundations of Machine Learning
STAT 27700=CMSC 25300
Rebecca Willett
Sec 1: TR 11:00 AM–12:20 PM
Ryerson 251

Mathematical Foundations of Machine Learning
STAT 27700=CMSC 25300
Rebecca Willett
Sec 2: TR 2:00 PM–3:20 PM
Ryerson 251

Undergraduate Research
STAT 29700
Mary Sara McPeek
Sec 1

Bachelor's Paper
STAT 29900
Mary Sara McPeek
Sec 1

Statistical Theory and Methods Ia
STAT 30030=STAT 24410
Daniel Sanz-Alonso
Sec 1: TR 2:00 PM–3:20 PM
Harper 140

Distribution Theory
STAT 30400
Wei Biao Wu
Sec 1: MW 9:00 AM-10:20 AM
Jones 303

Numerical Linear Algebra
STAT 30750=STAT 24300
Alexander Strang
Sec 1: MW 1:30 PM–2:50 PM
Eckhart 133

Mathematical Computation I: Matrix Computation Course
STAT 30900=CAAM 30900, CMSC 37810
Lek-Heng Lim
Sec 1: MW 3:00 PM–4:20 PM
Eckhart 133

Inverse Problems and Data Assimilation
STAT 31150=CAAM 31150
Daniel Sanz-Alonso
Sec 1: TR 11:00 AM–12:20 PM
Pick 016

Introduction to Stochastic Processes I
STAT 31200
Mei Wang
Sec 1: MWF 10:30 AM–11:20 AM
Harper 148

Inverse Problems in Imaging
STAT 31230=CAAM 31230
Guillaume Bal
Sec 1: TR 9:30 AM–10:50 AM
Jones 226

Applied Dynamical Systems
STAT 31410=CAAM 31410
Mary Silber
Sec 1: MW 10:30 AM-11:50 AM
Jones 303

Applied Linear Algebra
STAT 31430=CAAM 31430
Eric Baer
Sec 1: MW 1:30 PM–2:50 PM
Ryerson 177

Applied Analysis
STAT 31440=CAAM 31440
Eric Baer
Sec 1: MWF 9:30 AM–10:20 AM
Social Sciences 106

Probability and Statistics
STAT 32400=BUSN 41901
Tetsuya Kaji
Sec 50: W 1:30 PM–4:30 PM
Harper Center 3A

Multivariate Data Analysis via Matrix Decompositions
STAT 32940=CAAM 32940, FINM 33180
Lek-Heng Lim
Sec 1: M 6:00 PM–8:50 PM
MS 112 (5727 S. University Ave)

Sample Surveys
STAT 33100
Kirk Wolter
Sec 1: MW 10:30 AM-11:50 AM
Jones 226

Time-Series Analysis for Forecasting and Model Building
STAT 33500=BUSN 41910
Jeffrey Russell
Sec 50: F 1:30 PM-4:30 PM
Harper Center 3B

Time Dependent Data
STAT 33600=STAT 26100
Wei Biao Wu
Sec 1: TR 9:30 AM–10:50 AM
Eckhart 133

Applied Linear Statistical Methods
STAT 34300
Rina Foygel Barber
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

Genomic Evolution I
STAT 35410=ECEV 35901, EVOL 35901
Manyuan Long
Sec 1: Th 3:00 PM–5:30 PM
TBA

Stochastic Processes in Gene Regulation
STAT 35420=CAAM 35420, ECEV 35420, MGCB 35420
John Reinitz
Sec 1: TR 2:00 PM–3:20 PM
Jones 226

Statistical Applications
STAT 35800=CHDV 32702, PBHS 33500
Robert Gibbons
Sec 1: MW 1:30 PM–2:50 PM
BSLC 202

Topics in Deep Learning: Generative Models
STAT 37792
Yali Amit
Sec 1: MW 12:00 PM-1:20 PM
Jones 226

Topics in Machine Learning: Symmetries and Harmonic Analysis
STAT 37796
Risi Kondor
Sec 1: TR 11:00 AM-12:20 PM
Stuart 102

Topics in Mathematical Data Science: Spectral Methods and Nonconvex Optimization
STAT 37797
Cong Ma
Sec 1: TR 3:30 PM-4:50 PM
Kent 101

Scientific Computing with Python
STAT 37830=CAAM 37830
Yuehaw Khoo
Sec 1: TR 9:30 AM-10:50 AM
Stuart 102

Brownian Motion and Stochastic Calculus
STAT 38510=MATH 38511
Greg Lawler
Sec 1: MWF 9:30 AM–10:20 AM
Jones 226

Master's Seminar
STAT 39900
Mei Wang
Sec 1

Reading and Research: Statistics
STAT 40100

Consulting in Statistics
STAT 44100
Mei Wang
Sec 1: W 5:00 PM-6:00 PM 
Jones 303