Introduction to Data Science I
STAT 11800=DATA 11800
Dan Nicolae
Sec 1: TR 9:30 AM–10:50 AM
Ryerson 251
Introduction to Data Science I
STAT 11800=DATA 11800
Evelyn Campbell
Sec 2: TR 9:30 AM–10:50 AM
Kersten 309
Introduction to Data Science I
STAT 11800=DATA 11800
Amanda Kube
Sec 3: MWF 9:30 AM–10:20 AM
Ryerson 251
Introduction to Data Science I
STAT 11800=DATA 11800
William Trimble
Sec 4: MWF 9:30 AM–10:20 AM
Ryerson 255
Introduction to Data Science II
STAT 11900=DATA 11900
Amy Nussbaum
Sec 1: MWF 12:30 PM–1:20 PM
Ryerson 251
Elementary Statistics
STAT 20000
Yibi Huang
Sec 1: MWF 10:30 AM–11:20 AM
Pick 016
Statistical Methods and Applications
STAT 22000
Kendra Burbank
Sec 1: MWF 9:30 AM–10:20 AM
Social Sciences 122
Statistical Methods and Applications
STAT 22000
Fei Liu
Sec 2: MWF 9:30 AM–10:20 PM
MS 112 (5727 S. University Ave)
Statistical Methods and Applications
STAT 22000
Fei Liu
Sec 3: MWF 11:30 AM–12:20 PM
MS 112 (5727 S. University Ave)
Statistical Methods and Applications
STAT 22000
Kendra Burbank
Sec 4: MWF 11:30 AM–12:20 PM
Hinds 101
Applied Regression Analysis
STAT 22400=PBHS 32400
Daniel Xiang
Sec 1: MWF 10:30 AM–11:20 AM
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
Ryan McShane
Sec 1: MWF 1:30 PM–2:20 PM
Stuart 102
Statistical Models and Methods I
STAT 23400
Ryan McShane
Sec 2: MWF 2:30 PM–3:20 PM
Stuart 102
Numerical Linear Algebra
STAT 24300
Anjali Nair
Sec 1: TR 11:00 AM–12:20 PM
Stuart 104
Statistical Theory and Methods I
STAT 24400
John Reinitz
Sec 1: TR 2:00 PM–3:20 PM
Eckhart 133
Statistical Theory and Methods Ia
STAT 24410=STAT 30030
Dan Nicolae
Sec 1: TR 2:00 PM–3:20 PM
Harper Memorial 140
Introduction to Mathematical Probability
STAT 25100
Thuyen Dang
Sec 1: TR 11:00 AM–12:20 PM
Eckhart 133
Introduction to Mathematical Probability
STAT 25100
Siyao Yang
Sec 2: TR 12:30 PM–1:50 PM
Eckhart 133
Time Dependent Data
STAT 26100=STAT 33600
Wei Biao Wu
Sec 1: TR 9:30 AM–10:50 AM
Eckhart 133
Mathematical Foundations of Machine Learning
STAT 27700=CMSC 25300, CMSC 35300
Bo Li
Sec 1: MW 1:30 PM–2:50 PM
Stuart 101
Mathematical Foundations of Machine Learning
STAT 27700=CMSC 25300, CMSC 35300
Rebecca Willett
Sec 2: MW 3:00 PM–4:20 PM
Harper Memorial 140
Mathematical Foundations of Machine Learning
STAT 27700=CMSC 25300, CMSC 35300
Michael Maire
Sec 3: MW 4:30 PM–5:50 PM
Eckhart 133
Multiple Testing, Modern Inference, and Replicability
STAT 27850=STAT 30850
Rina Foygel Barber
Sec 1: TR 12:30 PM–1:50 PM
Harper Memorial 130
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
Dan Nicolae
Sec 1: TR 2:00 PM–3:20 PM
Harper Memorial 140
Distribution Theory
STAT 30400
Wei Biao Wu
Sec 1: MW 9:00 AM-10:20 AM
Jones 303
Multiple Testing, Modern Inference, and Replicability
STAT 30850=STAT 27850
Rina Foygel Barber
Sec 1: TR 12:30 PM–1:50 PM
Harper Memorial 130
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=FINM 34800, CAAM 31001
Lek-Heng Lim
Sec 1: T 2:00 PM-4:50 PM
MS 112 (5727 S. University Ave)
Inverse Problems and Data Assimilation
STAT 31150=CAAM 31150
Daniel Sanz-Alonso
Sec 1: TR 9:30 AM–10:50 AM
Kent 101
Fast Algorithms
STAT 31190=CAAM 31190
Jeremy Hoskins
Sec 1: TR 2:00 PM–3:20 PM
Jones 303
Introduction to Stochastic Processes I
STAT 31200
Mei Wang
Sec 1: TR 11:00 AM–12:20 PM
Jones 226
Mathematical Introduction to Topological Insulators
STAT 31250=CAAM 31250
Guillaume Bal
Sec 1: MW 9:00 AM–10:20 AM
Jones 226
Applied Dynamical Systems
STAT 31410=CAAM 31410
Mary Silber
Sec 1: TR 11:00 AM-12:20 PM
Ryerson 277
Applied Linear Algebra
STAT 31430=CAAM 31430
Eric Baer
Sec 1: MW 3:00 PM–4:20 PM
Ryerson 177
Applied Analysis
STAT 31440=CAAM 31440
Eric Baer
Sec 1: MWF 10:30 AM–11:20 AM
Rosenwald 015
Probability and Statistics
STAT 32400=BUSN 41901
Tetsuya Kaji
Sec 1: F 1:30 PM-4:30 PM in TBA
Charles M. Harper Center C02
Sample Surveys
STAT 33100
Kirk Wolter
Sec 1: MW 10:30 AM-11:50 AM
Jones 226
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
Nikolaos Ignatiadis
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
Statistical Applications
STAT 35800=CHDV 32702, PBHS 33500
Robert Gibbons
Sec 1: MW 1:30 PM-2:50 PM
BSLC 240
Machine Learning 1
STAT 37711=CAAM 37711, DATA 37711
Victor Veitch
Sec 1: TR 11:00 AM-12:20 PM
Ryerson 251
Algorithms for Massive Datasets
STAT 37782=CAAM 37782
Yuehaw Khoo
Sec 1: MW 3:00 PM–4:20 PM
Eckhart 117
Topics in Deep Learning: Generative Models
STAT 37792
Yali Amit
Sec 1: MW 1:30 PM-2:50 PM
Jones 226
Scientific Computing with Python
STAT 37830=CAAM 37830
Tristan Goodwill
Sec 1: TR 12:30 PM-1:50 PM
Rosenwald 015
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: TR 9:30 AM-10:50 AM
Jones 303
Topics in Advanced Bayesian Methodology
STAT 41540
Aaron Schein
Sec 1: TR 11:00 AM-12:20 PM
Jones 303
Consulting in Statistics
STAT 44100
Claire Donnat and Mei Wang
Sec 1: W 12:00 PM-1:00 PM
Jones 303
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
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
Pathways in Data Science
STAT 10118
Adela DePavia, Phillip Lo
Sec 94: MTWRF 9:00 AM-3:00 PM (7/3/2023 - 7/21/2023)
Eckhart 312
Introduction to Data Science I
STAT 11800=CMSC 11800, DATA 11800
David Biron
Sec 91: MTWR 9:30 AM-12:15 PM (08/28/2023 - 09/15/2023)
Remote
Data Science in Quantitative Finance and Risk Management
STAT 13820
Yin Kwong Lee
Sec 94: MTWRF 6:00 PM-8:00 PM (7/3/2023 - 8/4/2023)
Remote
Statistical Methods and Applications
STAT 22000
Yibi Huang
Sec 91: MWF 9:30 AM-11:30 AM (6/12/2023 - 7/14/2023)
Remote
Statistical Methods and Applications
STAT 22000
Kendra Burbank
Sec 92: MTR 9:00 AM-12:30 PM (8/28/2023 - 9/15/2023)
Remote
Field Research
STAT 39800
Mei Wang
Reading and Research: Statistics
STAT 40100