Machine Learning, Dynamical Systems and Control

GRADUATE COURSES AND CURRICULUM

 

 

Stacks Image 190

Data-Driven Science and Engineering [View]

 

This website makes available lectures for the book by S. L. Brunton and J. N. Kutz, “Data-Driven Science and Engineering” (Cambridge 2019). This textbook is used for courses in data-driven engineering and physics-informed machine learning.

 

 

Stacks Image 202

Data-Driven Modeling & Scientific Computation [View]

 

This website makes available lectures for the book by J. N. Kutz, “Data-Driven Modeling and Scientific Computation” (Oxford 2013). This textbook is used for courses in scientific computing as well as data analysis.

 

 

Stacks Image 164

Applied Linear Algebra and Introductory Numerical Analysis [View]

 

This website makes available lectures for the course AMATH 584 taught by J. N. Kutz on methods for advanced linear algebra and computing.

 

 

Stacks Image 176

Inferring Structure of Complex Systems [View]

 

This website makes available all lectures for AMATH 563, Inferring Structure of Complex Systems. This course provides an broad introduction to a diversity of data-driven methods and machine learning algorithms that help understand networked dynamical systems. It provides an introduction to the power of the numerical algorithms for model discovery using MATLAB programming.