Graduate Courses
Data-Driven Science and Engineering
Graduate Level
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.
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.
Data-Driven Modeling & Scientific Computation
Graduate Level
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.
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.
Applied Linear Algebra and Introductory Numerical Analysis
Graduate Level
This website makes available lectures for the course AMATH 584 taught by J. N. Kutz on methods for advanced linear algebra and computing.
This website makes available lectures for the course AMATH 584 taught by J. N. Kutz on methods for advanced linear algebra and computing.
Inferring Structure of Complex Systems
Graduate Level
This website makes available all lectures for AMATH 563, Inferring Structure of Complex Systems. This course provides a 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.
This website makes available all lectures for AMATH 563, Inferring Structure of Complex Systems. This course provides a 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.
