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MIT Learn Differential Equations

4.0 (2)
20 learners

What you'll learn

This course includes

  • 16.3 hours of video
  • Certificate of completion
  • Access on mobile and TV

Course content

1 modules • 68 lessons • 16.3 hours of video

MIT Learn Differential Equations

68 lessons • 16.3 hours
  • Gilbert and Cleve Introduction02:53
  • Overview of Differential Equations14:04
  • The Calculus You Need14:47
  • Response to Exponential Input13:20
  • Response to Oscillating Input15:55
  • Solution for Any Input13:59
  • Step Function and Delta Function15:41
  • Response to Complex Exponential12:51
  • Integrating Factor for Constant Rate13:47
  • Integrating Factor for a Varying Rate11:23
  • The Logistic Equation13:27
  • The Stability and Instability of Steady States21:15
  • Separable Equations13:07
  • Second Order Equations19:20
  • Forced Harmonic Motion15:32
  • Unforced Damped Motion14:04
  • Impulse Response and Step Response16:01
  • Exponential Response – Possible Resonance12:20
  • Second Order Equations with Damping13:14
  • Electrical Networks: Voltages and Currents16:33
  • Method of Undetermined Coefficients16:32
  • An Example of Undetermined Coefficients15:49
  • Variation of Parameters19:22
  • Laplace Transform: First Order Equation22:38
  • Laplace Transform: Second Order Equation16:31
  • Laplace Transforms and Convolution10:29
  • Pictures of Solutions21:01
  • Phase Plane Pictures: Source, Sink, Saddle18:26
  • Phase Plane Pictures: Spirals and Centers13:46
  • Two First Order Equations: Stability10:32
  • Linearization at Critical Points15:08
  • Linearization of two nonlinear equations21:41
  • Eigenvalues and Stability: 2 by 2 Matrix, A19:30
  • The Tumbling Box in 3-D22:54
  • The Column Space of a Matrix12:44
  • Independence, Basis, and Dimension13:20
  • The Big Picture of Linear Algebra15:57
  • Graphs15:27
  • Incidence Matrices of Graphs19:51
  • Eigenvalues and Eigenvectors19:01
  • Diagonalizing a Matrix11:37
  • Powers of Matrices and Markov Matrices17:54
  • Solving Linear Systems15:48
  • The Matrix Exponential15:32
  • Similar Matrices14:51
  • Symmetric Matrices, Real Eigenvalues, Orthogonal Eigenvectors15:55
  • Second Order Systems16:50
  • Positive Definite Matrices21:41
  • Singular Value Decomposition (the SVD)14:11
  • Boundary Conditions Replace Initial Conditions17:03
  • Laplace Equation13:17
  • Fourier Series16:36
  • Examples of Fourier Series13:56
  • Fourier Series Solution of Laplace's Equation14:04
  • Heat Equation10:48
  • Wave Equation15:14
  • Euler, ODE115:22
  • Midpoint Method, ODE206:46
  • Classical Runge-Kutta, ODE409:38
  • Order, Naming Conventions05:26
  • Estimating Error, ODE2310:37
  • ODE4506:47
  • Stiffness, ODE23s, ODE15s07:15
  • Systems of Equations14:17
  • The MATLAB ODE Suite05:35
  • Tumbling Box09:52
  • Predator-Prey Equations14:17
  • Lorenz Attractor and Chaos10:25

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