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J. Nathan Kutz

Robert Bolles and Yasuko Endo Professor

Adjunct Professor of Electrical Engineering and Physics

Contact Information

kutz@uw.edu

(206) 685-3029

Personal Website

Lewis 118

Fields of Interest

Data ScienceMachine LearningMathematical NeuroscienceNonlinear Waves and Coherent StructuresOpticsReduced-Order Models

Research

Selected Research

• J. Nathan Kutz, Steven L. Brunton, Bingni W. Brunton, and Joshua Proctor (2016). Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems. SIAM.
• J. Nathan Kutz. (2013) Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data. Oxford University Press. 

Courses Taught

Autumn 2020

• AMATH 500 D: Special Studies in Applied Mathematics
• AMATH 584 A: Applied Linear Algebra And Introductory Numerical Analysis - Course Website

Spring 2020

• AMATH 563 A: Inferring Structure Of Complex Systems - Course Website

Winter 2020

• AMATH 568 A: Advanced Methods for Ordinary Differential Equations
• AMATH 582 A: Computational Methods For Data Analysis - Course Website

Spring 2019

• AMATH 563 A: Inferring Structure of Complex Systems

Winter 2019

• AMATH 482 A: Computational Methods for Data Analysis
• AMATH 582 A: Computational Methods for Data Analysis

Spring 2018

• AMATH 563 A: Inferring Structure of Complex Systems

Winter 2018

• AMATH 482 A: Computational Methods For Data Analysis
• AMATH 582 A: Computational Methods For Data Analysis - Course Website
• AMATH 582 B: Computational Methods For Data Analysis - Course Website
• AMATH 582 C: Computational Methods For Data Analysis - Course Website
• AMATH 582 D: Computational Methods For Data Analysis - Course Website

Winter 2017

• AMATH 482 A: Computational Methods For Data Analysis
• AMATH 582 A: Computational Methods For Data Analysis - Course Website
• AMATH 582 B: Computational Methods For Data Analysis - Course Website
• AMATH 582 C: Computational Methods For Data Analysis - Course Website
• AMATH 582 D: Computational Methods For Data Analysis - Course Website

Autumn 2016

• AMATH 500 D: Special Studies In Applied Mathematics
• AMATH 500 E: Special Studies In Applied Mathematics
• AMATH 581 A: Scientific Computing - Course Website
• AMATH 581 B: Scientific Computing - Course Website
• AMATH 581 C: Scientific Computing - Course Website
• AMATH 581 D: Scientific Computing - Course Website

Spring 2016

• AMATH 500 E: Special Studies In Applied Mathematics
• AMATH 500 G: Special Studies In Applied Mathematics

Winter 2016

• AMATH 482 A: Computational Methods For Data Analysis
• AMATH 500 D: Special Studies In Applied Mathematics
• AMATH 582 A: Computational Methods For Data Analysis
• AMATH 582 B: Computational Methods For Data Analysis
• AMATH 582 C: Computational Methods For Data Analysis

Related News

Related News

• In the Pursuit of Applying Knowledge - August 25, 2016

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