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 June 1, 2023

Math Crash Course

Math Crash Course FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: 2023 _ The math final exams are coming up and you’re still […]

Published March 1, 2021

Non-local PDE and Control

• Umberto Biccari, University of Deusto | DeustoCCM • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Non-local PDE and Control View this poster

Published January 29, 2024

Synthetic Training Data Generation for Point Cloud Defects

Master Thesis: “Synthetic Training Data Generation for Point Cloud Defects” Author: Nishitha Yedalapalli Supervisor: Prof. Enrique Zuazua Date: January 29, 2024 In […]

Published October 26, 2021

Lecture notes: A primer on functional Analytic methods for PDEs

Lecture notes: A primer on functional Analytic methods for PDEs FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer semester 2021 These lecture […]

Post navigation

  • Previous post Course: Scalar Conservation Laws
  • Back to post list
  • Next post CML: Control, Machine Learning and Numerics
Last news
  • A relaxed splitting method for solving variational inclusion and fixed point problems
  • Workshop on Recent Trends in Applied Mathematics and Machine Learning 2025
  • JLU Short course: PDEs Meet Machine Learning: Integrating Numerics, Control, and Machine Learning by E. Zuazua
  • Approximation Theory and applications of semi-autonomous Neural ODEs
  • FAU MoD Lecture: Exemplary applications of Machine Learning and optimization in quantum chemistry

©  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