Courses


Active Learning Series from DynamicsAI Institute, a YouTube Series

In this five-part series, I, Dr. Frankie Zhu, will: 1) Introduce active learning algorithms and their benefits, 2) Explore the key components of these algorithms, 3) Discuss how to select models that underpin active learning, and 4) Examine various applications and limitations. The series will conclude with a presentation by Hans Mertens on a recent advance in 5) Using active learning for identifying the dynamics of diverse systems.


Deriving Euler’s Rigid Body Dynamics, a YouTube Series

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.


EPET/ME 400: Spacecraft Mission Design

Design a spacecraft from concept to component selection with consideration for science, budget, and risk.

Topics cover the space environment, orbital mechanics, systems engineering, and spacecraft bus design that incorporates mechanical engineering, electrical engineering, computer science, and fundamental physics.

Text: Spacecraft Mission Design, F. Zhu et al., 2020

Curriculum Flow Chart

Textbook Cover


ME 696/ ICS 699: Machine Learning in Dynamic Systems

Summary of Methods by Brandon Amos

Explore advanced topics related to machine learning in dynamic system applications and expose students to new ideas and people.

Ensure that the applications investigated in the paper are dynamical systems 

Domain of problem: regression, state prediction, model discovery

Secondary objectives: generalization, adaptation, applications