Elementary Statistics
STAT 20000
Sec 01: MWF 9:30–10:20 AM
Pick 016
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Statistical
Methods and Applications
STAT 22000
Sec 01: MWF 1:30–2:20 PM
Eckhart 133
|
Statistical
Methods and Applications
STAT 22000
Sec 02: MWF 2:30–3:20 PM
Eckhart 133
|
Linear Models and Experimental Design
STAT 22200
Sec 01: MWF 10:30-11:20 AM
Eckhart 133
|
Applied Regression Analysis
STAT 22400=PBHS 32400
Sec 01: MWF 12:30-1:20 PM
Eckhart 133
|
Statistical
Models and Method 1
STAT 23400
Mengyin Lu
Sec 01: TR 12:30-1:50 PM
Eckhart 133
|
Statistical
Models and Method 1
STAT 23400
Sec 02: TR 2:00-3:20 PM
Hinds 101
|
Statistical
Theory and Method 2
STAT 24500
Sec 01: TR 9:30–10:50 AM
Eckhart 133
|
|
Introduction
to Mathematical Probability
STAT 25100
Sec 01: MW 3:00-4:20 PM
Ryerson 251
|
History of Statistics
STAT 26700=STAT 36700, CHSS 32900, HIPS 25600
Sec 01: MWF 9:30–10:20 AM
Eckhart 133
|
Multiple Testing, Modern Inference, and Replicability
STAT 27850=STAT 30850
Sec 01: TR 11:00 AM-12:20 PM
Eckhart 133
|
Optimization
STAT 28000
Sec 01: TR 3:30-4:50 PM
Eckhart 133
|
|
|
Mathematical Statistics II
STAT 30200
Sec 01: TR 9:30-10:50 AM
Jones 226
|
Multiple Testing, Modern Inference, and Replicability
STAT 30850=STAT 27850
Sec 01: TR 11:00 AM-12:20 PM
Eckhart 133
|
Mathematical Computation III: Numerical Methods Methods for PDEs
STAT 31100=CMSC 37812, MATH 38309
Sec 01: TR 3:30-4:50 PM
Jones 226
|
Partial Differential Equations
STAT 31220
Sec 01: MW 8:30-10:20 AM
Jones 226
|
Applied Multivariate Analysis
STAT 32900=BUSF 41912
Sec 50: F 8:30-11:30 AM
Harper Center C06
|
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|
Modern Methods in Applied Statistics
STAT 34800
Sec 01: MW 3:00–4:20 PM
Harper Memorial 130
|
Intro to Clinical Trials
STAT 35201=PBHS 32901
Sec 01: TR 2:00-3:20 PM
SS 107
|
Statistical Genetics
STAT 35500
Sec 01: F 1:30–4:20 PM
Jones 226
|
History of Statistics
STAT 36700=STAT 26700, CHSS 32900, HIPS 25600
Sec 01: MWF 9:30–10:20 AM
Eckhart 133
|
Machine Learning and Large-Scale Data Analysis
STAT 37601=CMSC 25025
Sec 01: TR 2:00–3:20 PM
Eckhart 133
|
Machine Learning
STAT 37710=CMSC 35400
Sec 01: MW 1:30–2:50 PM
Ryerson 276
|
Topics in Statistical Machine Learning
STAT 37790=CMSC 35425
Sec 01: TR 3:30–4:50 PM
Social Sciences 105
|
Measure-Theoretic Probability III
STAT 38300
Sec 01: MW 10:30-11:50 AM
Jones 226
|
|
|
Theoretical Neuroscience: Statistics and Information Theory
STAT 42600=CPNS 35600, ORGB 42600
Sec 01: TR 9:30-10:50 AM
BSLC 240
|
Consulting in Statistics 
STAT 44100
Sec 01: T 12:30-1:50 PM
Stuart 104
|