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
Introduction to Data Science I
STAT 11800=CMSC 11800
William Trimble
Sec 2: TR 9:30 AM-10:50 AM
MS 112
Collaborative Learning in STAT 22000
STAT 12001
Kendra Burbank
Sec 1: TBA
TBA
Elementary Statistics
STAT 20000
Kendra Burbank
Sec 1: MWF 11:30 AM–12:20 PM
Stuart 105
Statistical Methods and Applications
STAT 22000
Fei Liu
Sec 1: MWF 10:30 AM–11:20 AM
Social Sciences 122
Statistical Methods and Applications
STAT 22000
Jingshu Wang
Sec 2: MWF 11:30 AM–12:20 PM
Kent 120
Statistical Methods and Applications
STAT 22000
Fei Liu
Sec 3: MWF 12:30 PM–1:20 PM
Social Sciences 122
Applied Regression Analysis
STAT 22400=PBHS 32400
Yandi Shen
Sec 1: MWF 11:30 AM–12:20 PM
Eckhart 133
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
Daniel Xiang
Sec 1: MWF 9:30 AM–10:20 AM
Eckhart 133
Statistical Models and Methods I
STAT 23400
Yibi Huang
Sec 2: MWF 10:30 AM–11:20 AM
Eckhart 133
Numerical Linear Algebra
STAT 24300
Alexander Strang
Sec 1: TR 2:00 PM–3:20 PM
Eckhart 133
Statistical Theory and Methods I
STAT 24400
Yuehaw Khoo
Sec 1: TR 9:30 AM–10:50 AM
Eckhart 133
Statistical Theory and Methods I
STAT 24400
Yuehaw Khoo
Sec 2: TR 11:00 AM–12:20 PM
Eckhart 133
Statistical Theory and Methods Ia
STAT 24410=STAT 30030
Daniel Sanz-Alonso
Sec 1: TR 11:00 AM–12:20 PM
Stuart 105
Introduction to Mathematical Probability
STAT 25100
Pierre Yves Gaudreau Lamarre
Sec 1: MWF 10:30 AM–11:20 AM
Stuart 105
Introduction to Mathematical Probability
STAT 25100
Thuyen Dang
Sec 2: MWF 12:30 PM–1:20 PM
Stuart 105
Time Dependent Data
STAT 26100=STAT 33600
Wei Biao Wu
Sec 1: TR 9:30 AM–10:50 AM
Stuart 101
Introduction to Statistical Genetics
STAT 26300=STAT 35490
Mary Sara McPeek
Sec 1: MW 1:30 PM–2:50 PM
Pick 022
Introduction to Causality with Machine Learning
STAT 27420
Victor Veitch
Sec 1: TR 3:30 PM-4:50 PM
Eckhart 312
Mathematical Foundations of Machine Learning
STAT 27700=CMSC 25300
Eric Jonas and Rebecca Willett
Sec 1: MW 1:30 PM–2:50 PM
Social Sciences 122
Mathematical Foundations of Machine Learning
STAT 27700=CMSC 25300
Eric Jonas and Rebecca Willett
Sec 2: MW 3:00 PM–4:20 PM
Social Sciences 122
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 11:00 AM–12:20 PM
Stuart 105
Distribution Theory
STAT 30400
Yi Sun
Sec 1: TR 3:30 PM-4:50 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
Modern Applied Optimization
STAT 31001=CAAM 31001, FINM 34800
Lek-Heng Lim
Sec 1: M 6:00 PM–9:00 PM
Kent 120
Numerical Methods for Stochastic Differential Equations
STAT 31120=CAAM 31120
Zhongjian Wang
Sec 1: TR 2:00 PM–3:20 PM
Jones 226
Inverse Problems and Data Assimilation
STAT 31150=CAAM 31150
Daniel Sanz-Alonso
Sec 1: TR 2:00 PM–3:20 PM
Harper Memorial 130
Introduction to Stochastic Processes I
STAT 31200
Wei Biao Wu
Sec 1: MW 9:00 AM–10:20 AM
Jones 226
Mathematical Introduction to Topological Insulators
STAT 31250
Guillaume Bal
Sec 1: TR 11:00 AM–12:20 PM
Jones 226
Applied Dynamical Systems
STAT 31410=CAAM 31410
Mary Silber
Sec 1: MW 1:30 PM-2:50 PM
Jones 303
Applied Linear Algebra
STAT 31430=CAAM 31430
Eric Baer
Sec 1: MW 3:00 PM–4:20 PM
Eckhart 203
Applied Analysis
STAT 31440=CAAM 31440
Eric Baer
Sec 1: MWF 9:30 AM–10:20 AM
Rosenwald 011
Probability and Statistics
STAT 32400=BUSN 41901
Tetsuya Kaji
Sec 50: Th 4:00 PM-7:00 PM
Harper Center 3B
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: T 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
Stuart 101
Applied Linear Statistical Methods
STAT 34300
Rina Foygel Barber
Sec 1: MW 1:30 PM–2:50 PM
Eckhart 133
Introduction to Clinical Trials
STAT 35201=PBHS 32901
Mei-Yin Chen Polley
Sec 1: TR 2:00 PM–3:20 PM
BSLC 313
Introduction to Statistical Genetics
STAT 35490=STAT 26300
Mary Sara McPeek
Sec 1: MW 1:30 PM–2:50 PM
Pick 022
Statistical Applications
STAT 35800=CHDV 32702, PBHS 33500
Robert Gibbons
Sec 1: MW 1:30 PM–2:50 PM
BSLC 240
Machine Learning
STAT 37710
Cong Ma
Sec 1: TR 11:00 AM–12:20 PM
Stuart 101
Topics in Deep Learning: Generative Models
STAT 37792
Yali Amit
Sec 1: MW 12:00 PM-1:20 PM
Jones 226
Scientific Computing with Python
STAT 37830=CAAM 37830
Jeremy Hoskins
Sec 1: TR 2:00 PM-3:20 PM
Stuart 104
Brownian Motion and Stochastic Calculus
STAT 38510=MATH 38511
Greg Lawler
Sec 1: TR 9:30 AM–10:50 AM
Jones 226
Master's Seminar
STAT 39900
Mei Wang
Sec 1
Reading and Research: Statistics
STAT 40100
Topics in Distribution-free Inference
STAT 41521
Rina Barber
Sec 1: MW 10:30 AM-11:50 AM
Jones 303
Consulting in Statistics
STAT 44100
Claire Donnat and Mei Wang
Sec 1: W 12:00 PM-1:00 PM
Jones 303