Graduate Courses and Curriculum
 
Data-Driven Science and Engineering
Level | Graduate
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
Level | Graduate
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
Level | Graduate
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
Level | Graduate
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.