Data-Driven Modeling & Scientific Computation

About This Textbook and Courses


This webpage is designed as the primary source of lectures, notes, codes and data for the textbook by J. N. Kutz on Data-Driven Modeling and Scientific Computation. The book has three parts which form the basis of three courses at the University of Washington. Part 1: Beginning Scientific Computing (AMATH 301), Part 2: Scientific Computing (AMATH 581), and Part 3: Computational Methods for Data Analysis. Lectures and codes for each are given in what follows, with notes for each part linked on the right panel.



AMATH 582 Winter Quarter 2021

Below are key pieces of information: video lectures are in tabs above


A GitHub Tutorial

  • Learn how to setup your own GitHub
  • Share your files and make open source code bases


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© 2019 kutz