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Differential Equations In Depth

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Dmitri Nesteruk

3:17:25

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  • 1 - Course Introduction.mp4
    00:58
  • 2 - A Word on Notation.mp4
    08:22
  • 3 - Chain Rule.mp4
    03:05
  • 4 - Implicit Differentiation.mp4
    03:57
  • 5 - Lets Make a Differential Equation.mp4
    00:48
  • 6 - Equation Order.mp4
    00:44
  • 7 - Verifying Solutions.mp4
    01:25
  • 8 - Direct Integration.mp4
    01:48
  • 9 - Separation of Variables.mp4
    03:42
  • 10 - Homogeneous Functions.mp4
    03:56
  • 11 - Homogeneous Equations.mp4
    06:18
  • 12 - Linear Equations.mp4
    04:32
  • 13 - Bernoullis Equations.mp4
    09:22
  • 14 - Exact Equations.mp4
    08:06
  • 15 - Solving DIfferential Equations in MATLAB.mp4
    03:08
  • 16 - Summary.mp4
    01:47
  • 17 - Reduction of Order.mp4
    05:28
  • 18 - SecondOrder Linear.mp4
    02:53
  • 19 - Two Distinct Real Roots.mp4
    01:15
  • 20 - Single Real Root.mp4
    01:00
  • 21 - Complex Roots.mp4
    01:28
  • 22 - Introduction.mp4
    02:01
  • 23 - A Few Transforms.mp4
    02:48
  • 24 - Inverse Transform.mp4
    02:36
  • 25 - Transform of a Derivative.mp4
    03:56
  • 26 - Laplace Transforms in MATLAB.mp4
    04:58
  • 27 - Differentiating Laplace Transforms.mp4
    05:55
  • 28 - Solving Differential Equations.mp4
    04:20
  • 29 - Integration of a Laplace Transform.mp4
    05:38
  • 30 - Introduction.mp4
    01:49
  • 31 - Integrals of Periodic Functions.mp4
    04:09
  • 32 - Orthogonality.mp4
    00:56
  • 33 - Fourier Series.mp4
    00:57
  • 34 - Fourier Coefficients.mp4
    03:01
  • 35 - Partial Derivatives.mp4
    04:30
  • 36 - Notation.mp4
    01:37
  • 37 - Partial Differential Equations.mp4
    02:01
  • 38 - Boundary Conditions.mp4
    12:27
  • 39 - Symbolic Solutions in Maple.mp4
    06:22
  • 40 - Heat Conduction Equation.mp4
    04:29
  • 41 - Wave Equation.mp4
    13:27
  • 42 - Wave Equation Example.mp4
    03:55
  • 43 - Introduction.mp4
    02:14
  • 44 - Eulers Method.mp4
    08:51
  • 45 - Improved Eulers Method.mp4
    04:00
  • 45 - improvedeuler.zip
  • 46 - RungeKutta Method.mp4
    06:56
  • 47 - Numerical Approximation of Derivaties.mp4
    09:30
  • 48 - A Beginners Guide to Numerical Methods in MATLAB.txt
  • 48 - Bonus Lecture Other Courses at a Discount.html
  • Description


    An in-depth course on differential equations, covering first/second order ODEs, PDEs and numerical methods, too!

    What You'll Learn?


    • Learn how to solve different types of differential equations
    • Discover tricks and shortcuts to find solutions quicker
    • Find out how to solve equations numerically as well as analytically
    • Learn to use MATLAB to solve differential equations

    Who is this for?


  • College students
  • University students
  • Math enthusiasts
  • What You Need to Know?


  • Good knowledge of calculus (linear algebra, differentiation, integration)
  • More details


    Description

    This course has everything you need to learn and understand Differential Equations. Differential equations are a class of equation that involves the use of differentials (derivatives) in their construction. Differential equations are used in many areas of science, particularly in physics, where they are used to model real-world phenomena such as the propagation of waves.

    This course covers: 

    • Ordinary differential equations (ODEs) - first and second order

    • Laplace Transform and Fourier Series

    • Partial differential equations (PDEs) - including common equations such as the Wave Equation and the Heat Conduction Equation

    • Numeric solutions of differential equations - e.g., Euler's Method, Runge-Kutta

    • Modeling and solving differential equations using MATLAB and Maple.

    Course pre-requisites:

    • Fundamental understanging of differentiation and integration

    • Knowledge of common integration operations (integration by parts, integration by substitution)

    • Basic understanding of numerical computing (required for numerical methods)

    • Access and basic knowledge of common CAS packages such as MATLAB, Maple, Mathematica, etc.

    This course is presented as a series of hand-written lectures where we discuss the relevant topics. I also present approaches to using CAS (Computer-aided Algebra Systems) to solving differential equations either analytically or symbolically.

    It is recommended that you augment your study of differential equations on this course with a good textbook on differential equations.

    This course will continue to evolve and improve based on feedback from the course participants.  Please leave feedback!

    Who this course is for:

    • College students
    • University students
    • Math enthusiasts

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    Dmitri Nesteruk
    Dmitri Nesteruk
    Instructor's Courses
    Dmitri is a quant, developer, book author and course author. His interests lie in software development and integration practices in the areas of computation, quantitative finance and algorithmic trading. His technological interests include C# and C++ programming as well high-performance computing using technologies such as CUDA and FPGAs. He has been a C# MVP since 2009.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 47
    • duration 3:17:25
    • English subtitles has
    • Release Date 2024/02/10

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