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Differential Equations: Fourier Series and Partial Differential Equations

Massachusetts Institute of Technology via edX

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Overview

Differential equations are the mathematical language we use to describe the world around us. Many phenomena are not modeled by differential equations, but by partial differential equations depending on more than one independent variable. In this course, we will use Fourier series methods to solve ODEs and separable partial differential equations (PDEs). You will learn how to describe any periodic function using Fourier series, and will be able to use resonance and to determine the behavior of systems with periodic input signals that can be described in terms of Fourier series. This course will use MATLAB to assist computations.

In this course we will explore:
  • How to process noisy sound files
  • The way a beam bends in response to external forces
  • How to design of ovens to create strong but lightweight composites
  • The motion of a violin string

Violinist photo by user: DeshaCAM. Copyright © 2018 Adobe Systems Incorporated. Used with permission.

Syllabus

Unit 1: Fourier Series
  1. Introduction to Fourier series
  2. Fourier series with arbitrary periods
  3. Using Fourier series to solve differential equations
Unit 2: Partial Differential Equations
  1. Boundary conditions and boundary value problems
  2. The heat equation
  3. The wave equation

Taught by

David Jerison, Arthur Mattuck and Jennifer French

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Review for edX's Differential Equations: Fourier Series and Partial Differential Equations
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Gaetano P
5.0 a week ago
by Gaetano completed this course, spending 5 hours a week on it and found the course difficulty to be hard.
nice and well teached course with both theory and practice problems on Fourier Series and related applications on solving Differential Equations.
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