Skip to content
Back Home
  • Home
  • The Chair
    • About
    • Our Head
    • Our Team
    • Contact
    • Past Members
  • Research
    • Publications
    • Projects
    • Teaching
    • Initiatives
    • Posts on Math and Research
    • Contributors
  • Join us!
    • Careers
    • Events
    • Past Events
  • Resources
    • Seminars / Lectures
    • Math to go!
    • Academy
    • GitHub
  • Search
Back Home
  • Search
  • Home
  • The Chair
    • About
    • Our Head
    • Our Team
    • Contact
    • Past Members
  • Research
    • Publications
    • Projects
    • Teaching
    • Initiatives
    • Posts on Math and Research
    • Contributors
  • Join us!
    • Careers
    • Events
    • Past Events
  • Resources
    • Seminars / Lectures
    • Math to go!
    • Academy
    • GitHub

Introduction to control and machine learning

Published November 1, 2022

Introduction to control and machine learning

Professors: Enrique Zuazua, Yongcun Song

Period: Winter Semester 2022/2023
Date: November to December 2022
ECTS: 05

This course at FAU StudON:
https://www.studon.fau.de/studon/goto.php?target=crs_4724699

You may also like

Published December 8, 2024

MathConnect 2024

On December 10, 2024 Prof. Enrique Zuazua will talk as a plenary speaker on “Control and Machine Learning” at the MathConnect 2024 […]

Published December 13, 2020

Master PDE course – Partial Differential Equations, Control and Numerics

Master PDE course – Partial Differential Equations, Control and Numerics 01 Introduction Historical Introduction Introduction Control Design   02 Finite-dimensional linear control […]

Published July 26, 2024

CIME summer school on PDEs, Control and Deep Learning

This summer, Prof. Enrique Zuazua (Friedrich-Alexander-Universität Erlangen-Nürnberg) joint with Prof. Giuseppe M. Coclite (Politecnico di Bari) are organizing the “PDEs, Control and […]

Published March 18, 2024

ODL: Introduction to Optimal Control and Machine Learning

On March 19 – 21, 2024, Prof. Enrique Zuazua will give a lecture Series on Introduction to Optimal Control and Machine Learning […]

Post navigation

  • Previous post Theory of homogeneous dynamical systems and their application
  • Back to post list
  • Next post Machine learning for MR image reconstruction: From first results to ongoing challenges
Last news
  • FAU MoD Lecture: Exemplary applications of Machine Learning and optimization in quantum chemistry
  • Control of a Lotka-Volterra System with Weak Competition
  • EECI-IGSC 2025 (M18): Control and Machine Learning
  • JLU Short course: PDEs Meet Machine Learning: Integrating Numerics, Control, and Machine Learning by E. Zuazua
  • Workshop on Recent Trends in Applied Mathematics and Machine Learning 2025

©  2019 - 2025  – All rights reserved - FAU DCN-AvH Chair for Dynamics, Control and Numerics - Alexander von Humboldt Professorship at Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany Imprint | Privacy | Accessibility | Contact