Robert Bolles and Yasuko Endo Professor Adjunct Professor of Electrical Engineering and Physics Contact Information kutz@uw.edu (206) 685-3029 LEW 118 Personal Website Fields of Interest Data Science Machine Learning Mathematical Neuroscience Nonlinear Waves and Coherent Structures Optics Reduced-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 Winter 2023AMATH 500 G: Special Studies in Applied MathematicsAMATH 568 A: Advanced Methods for Ordinary Differential EquationsAMATH 568 B: Advanced Methods for Ordinary Differential EquationsAMATH 568 C: Advanced Methods for Ordinary Differential EquationsAutumn 2022AMATH 500 D: Special Studies in Applied MathematicsSpring 2022AMATH 500 C: Special Studies in Applied MathematicsWinter 2022AMATH 500 G: Special Studies in Applied MathematicsAutumn 2021AMATH 301 A: Beginning Scientific ComputingAMATH 301 B: Beginning Scientific ComputingAMATH 301 C: Beginning Scientific ComputingAMATH 500 D: Special Studies in Applied MathematicsSpring 2021AMATH 590 A: Special TopicsAMATH 590 B: Special TopicsWinter 2021AMATH 500 G: Special Studies in Applied MathematicsAMATH 568 A: Advanced Methods for Ordinary Differential EquationsAMATH 568 B: Advanced Methods for Ordinary Differential EquationsAMATH 582 A: Computational Methods for Data AnalysisAMATH 582 B: Computational Methods for Data AnalysisAMATH 582 E: Computational Methods for Data Analysis Related News Related News Professor Nathan Kutz elected SIAM fellow (April 1, 2022) Professors Kutz and Brunton to head new UW-led AI Institute for Dynamic Systems (July 31, 2021) In the Pursuit of Applying Knowledge (August 25, 2016)
