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

Course: Wave Phenomena

Published April 13, 2023

Course: Wave Phenomena

Lecturers: Enrique Zuazua, Nicola De Nitti

Period: 2022/2023 summer semester
Date: April – July 2023
Location: FAU. Master’s Degree in Computational and Applied Mathematics
ECTS: 10

This course at FAU StudON:
–

  • applied mathematics
  • Control
  • course
  • E. Zuazua
  • Enrique Zuazua
  • fau
  • FAU DCN-AvH
  • Master degree
  • N. De Nitti
  • Nicola De Nitti
  • Numerics
  • wave
  • Wave phenomena

You may also like

Published February 28, 2024

Zurich Colloquium in Applied and Computational Mathematics

On Wednesday March 6, 2024 Prof. Enrique Zuazua will talk on “Dynamics, Control and Numerics” at the “Zurich Colloquium in Applied and […]

Published March 4, 2024

EPFL: Control and Machine Learning by E. Zuazua

On Fri. March 8, 2024 Prof. Enrique Zuazua will talk on Control and Machine Learning at the ANMATH Seminars at EPFL Laussane. […]

Published May 22, 2024

ML&OC24: Machine Learning and Optimal Control summer school

On May 29-30, 2024, Prof. Enrique Zuazua is giving a course on “Control and Machine Learning” at the ML&OC24 summer school “Machine […]

Published March 1, 2021

Sparse Initial Source Identification for a Diffusion – Advection Equation

• Umberto Biccari, University of Deusto | DeustoCCM • Yongcun Song, Friedrich-Alexander-Universität Erlangen–Nürnberg • Yuan Xiaoming, The University of Hong Kong • […]

Post navigation

  • Previous post Course: Scalar Conservation Laws
  • Back to post list
  • Next post CML: Control, Machine Learning and Numerics
Last news
  • MLDS: Machine Learning, Control Theory, and PDEs: Foundations and Advances from Variational Pathologies to Diffusion Models for Generative AI
  • FAU MoD Lecture: AI Components in PDE Solvers
  • #NdW25 Long Night Sciences: Sentimentanalyse mit Transformern in Aktion
  • #NdW25 Long Night Sciences: Das Turnpike-Phänomen in Gasnetzen
  • FAU MoD Lecture: Finding the optimal model complexity of whole-brain models and digital twins

©  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