GRADUATE COURSES AND CURRICULUM
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.
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.
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.
Inferring Structure of Complex Systems [View]
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.