Foundational Courses & Content

 

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Euler's Rigid Body Dynamics Series

Lectures by Frankie Zhu

A three-part series covering:
  1. Reference frames and vector notation
  2. Newton's laws and transport theorem, and
  3. Euler's rigid body dynamics and numerical examples

 

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Autoencoder and Variational Autoencoder Basics of Graph Signal Processing

Lectures by June Zhang

 

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Beginning Scientific Computing

Undergraduate Level

Lecture series by J. Nathan Kutz. This website makes available all lectures for AMATH 301, Beginning Scientific Computing. This course provides an introduction to programming and the MATLAB scripting language. It is intended for engineering and physical sciences majors, providing a broad introduction to the power of numerical methods, scientific computing and MATLAB programming.

 

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Introduction to Signal Processing

Undergraduate Level

Lecture series by J. Nathan Kutz

This series on signal processing is intended as a first course on the subject with data and code worked in both MATLAB and Python. The lectures are from the textbook Oppenheim, Willsky and Nawab, Systems and Signals.

 

 

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Introduction to Data Intensive Engineering

Lecture series by Steven L. Brunton

Multi lecture playlist for a Machine Learning and AI for Data-Intensive Engineering Overview including case studies.

 

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AI Institute in Dynamic Systems is a National Artificial Intelligence Research Institute funded by the National Science Foundation (NSF).