Prospective Courses AY 2023-2024 | University of Washington Department of Statistics

This is a list of the prospective courses that the department currently plans to offer in AY 2023-2024. Please note that this list is subject to change. For the final list of courses available each quarter, please see the UW time schedule.

Autumn 2023	Winter 2024	Spring 2024	Summer 2024
STAT 180 Introduction to Data Science
	Section A (Hybrid) Allotey
STAT 220 Statistical Reasoning
Section A Wagner	Section A (Hybrid) Chen	Section A Marzban	Section A Brown
STAT 221 Statistical Concepts and Methods for the Social Sciences
Section A Furfaro	Section A Brown	Section A Brown	Section A Sass (SOC)
STAT 302 Statistical Computing
Section A Y. Zhang	Section A Y. Zhang	Section A Farris	Section A (Online Synchronous) Kunke
STAT 303 Introduction to the Ethics of Algorithmic Decision Making
Section A Richardson
STAT 311 Elements of Statistical Methods
Section A (In-Person) Allotey Section B (Online) Cardoso	Section A (Hybrid) Allotey Section B (Online) Wagner	Section A (In-Person) Grove Section B (Online) Wagner	Section B (Online Asynchronous) Wagner
STAT 316 Design of Experiments
	Section A Marzban
STAT 340 Introduction to Probability and Mathematical Statistics I
Section A Grove
STAT 341 Introduction to Probability and Mathematical Statistics II
	Section A Grove
STAT 342 Introduction to Probability and Mathematical Statistics III
		Section A Grove
STAT 390 Statistical Methods in Engineering and Science
Section A Giessing	Section A Giessing	Section A Giessing	Section A (Online Synchronous) Marzban
STAT 391 Quantitative Introductory Statistics for Data Science
	Section A Furfaro
STAT 394 Probability I
Section A Grove	Section A Hoffman Section B Kang	Section A Kang	Section A (A-Term; Online Synchronous) Allen Section C (In-Person) Greenfeld (MATH)
STAT 395 Probability II
	Section A Marzban	Section A Ottolini	Section A (B-term; Online Synchronous) Irish
STAT 396 Finite Markov Chains and Monte-Carlo Methods
		Section A Cinelli
STAT 403 Introduction to Resampling Inference
		Section A Y. Chen
STAT 416 Introduction to Machine Learning
Section A Zhou		Section A Shah	Section A Shah (CSE)
STAT 421 Applied Statistics and Experimental Design
Section A Marzban
STAT 423 Applied Regression and Analysis of Variance
	Section A Furfaro
STAT 425 Introduction to Nonparametric Statistics

STAT 427 Introduction to Analysis of Categorical Data

STAT 435 Introduction to Statistical Machine Learning
		Section A Perkovic
STAT 451 Visualizing Data
Section A Ducellier
STAT 491 Introduction to Stochastic Processes I
	Section A Z. Chen
STAT 492 Introduction to Stochastic Processes II

STAT 493 Stochastic Calculus for Option Pricing
		Section A Z. Chen
STAT 497 Internship
Section A Furfaro	Section A Furfaro	Section A Furfaro	Section A
STAT 498 Special Topics
	Section A Wadsworth (Agile Data Science)
STAT 499 Undergraduate Research
Section A	Section A	Section A	Section A
STAT 502 Design and Analysis of Experiments
Section A Skalland
STAT 504 Applied Regression
	Section A Cinelli
STAT 509 Econometrics I: Introduction to Mathematical Statistics
Section A Richardson
STAT 512 Statistical Inference
Section A Perkovic
STAT 513 Statistical Inference
	Section A Harchaoui
STAT 516 Stochastic Modeling of Scientific Data
Section A Giessing
STAT 517 Stochastic Modeling of Scientific Data
	Section A Harchaoui
STAT 521 Advanced Probability
Section A Pal
STAT 522 Advanced Probability
	Section A Soumik
STAT 523 Advanced Probability
		Section A Burdzy
STAT 524 Design of Medical Studies
		Section A Fleming
STAT 527 Nonparametric Regression and Classification
		Section A Lila
STAT 529 Sample Survey Techniques

STAT 533 Theory of Linear Models
		Section A Ye
STAT 534 Statistical Computing
		Section A Dobra
STAT 535 Statistical Learning: Modeling, Prediction, and Computing
Section A Meila
STAT 536 Analysis of Categorical and Count Data
Section A Dobra
STAT 538 Statistical Learning: Modeling, Prediction, and Computing
	Section A Taeb
STAT 544 Bayesian Statistical Methods
		Section A Dobra
STAT 548 Machine Learning for Big Data
		Section A Althoff
STAT 550 Statistical Genetics I: Mendelian Traits
		Section A Wijsman
STAT 551 Statistical Genetics II: Quantitative Traits
Section A Conomos
STAT 554 Statistical Methods for Spatial Data

STAT 559 Measure Theory
		Section A Han
STAT 560 Hierarchical Modeling for the Social Sciences
Section A McCormick
STAT 563 Statistical Demography
		Section A Raftery
STAT 564 Bayesian Statistics for the Social Sciences
		Section A Cinelli
STAT 566 Causal Modeling
		Section A Richardson
STAT 567 Statistical Analysis of Social Networks

STAT 570 Advanced Regression Methods for Independent Data
Section A Wakefield
STAT 571 Advanced Regression Methods for Dependent Data
	Section A Wu
STAT 572 Preparation for Research Prelim
		Section A Chen & Richardson
STAT 579 Data Analysis and Reporting
		Section A Y. Chen
STAT 581 Advanced Theory of Statistical Inference I
Section A Luedtke
STAT 582 Advanced Theory of Statistical Inference II
	Section A Luedtke
STAT 583 Advanced Theory of Statistical Inference III
		Section A Carone
STAT 590 Statistics Seminar
Section A Perkovic Section B McCormick	Section A Perkovic	Section A Perkovic
STAT 591 Special Topics in Statistics
Section B Taeb (Multiple Testing and Modern Inference)		Section A Fang (Statistical Random Permutation)
STAT 597 Applied Data Analysis Project
Section A Cardoso	Section A McCormick	Section A McCormick	Section A
STAT 599 Statistical Consulting
Section A Cardoso		Section A Furfaro
STAT 600 Independent Study or Research
Section A	Section A	Section A	Section A
STAT 700 Master's Thesis
Section A	Section A	Section A	Section A
STAT 800 Doctoral Dissertation
Section A	Section A	Section A	Section A