Become a Differential Equations Master
Become a Differential Equations Master
Learn everything from Differential Equations, then test your knowledge with 680+ practice questions
Product Brand: Udemy
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Udemy Coupon Code for Become a Differential Equations Master Course. Learn everything from Differential Equations, then test your knowledge with 680+ practice questions
Created by Krista King | 23.5 hours on-demand video course
Differential Equations Course Overview
Become a Differential Equations Master
HOW BECOME A DIFFERENTIAL EQUATIONS MASTER IS SET UP TO MAKE COMPLICATED MATH EASY:
This 260-lesson course includes video and text explanations of everything from Differential Equations, and it includes 76 quizzes (with solutions!) and an additional 9 workbooks with extra practice problems, to help you test your understanding along the way. Become a Differential Equations Master is organized into the following sections:
- First order equations, including linear, separable, and Bernoulli equations
- Second order equations, including homogeneous and nonhomogeneous equations, undetermined coefficients, and variation of parameters
- Modeling with differential equations, including Euler’s method, the logistic equation, exponential growth and decay, electrical series, spring and mass systems
- Series solutions, including power series solutions, nonpolynomial coefficients, and Frobenius’ Theorem
- Laplace transforms, including Laplace and inverse Laplace transforms, the Second Shifting Theorem, Dirac delta functions, and convolution integrals
- Systems of differential equations, including solving systems with real and complex Eigenvalues, trajectories and phase portraits, and the matrix exponential
- Higher order equations, including nonhomogeneous equations, their Laplace transforms, systems of higher order equations, and their series solutions
- Fourier series, including periodic extensions, convergence of a Fourier series, Fourier cosine series and Fourier sine series, and piecewise functions
- Partial differential equations, including separation of variables and boundary value problems, the heat equation, and Laplace’s equation
What you’ll learn
- First order equations, including linear, separable, and Bernoulli equations
- Second order equations, including homogeneous and nonhomogeneous equations, undetermined coefficients, and variation of parameters
- Modeling with differential equations, including Euler’s method, the logistic equation, exponential growth and decay, electrical series, spring and mass systems
- Series solutions, including power series solutions, nonpolynomial coefficients, and Frobenius’ Theorem
- Laplace transforms, including Laplace and inverse Laplace transforms, the Second Shifting Theorem, Dirac delta functions, and convolution integrals
- Systems of differential equations, including solving systems with real and complex Eigenvalues, trajectories and phase portraits, and the matrix exponential
- Higher order equations, including nonhomogeneous equations, their Laplace transforms, systems of higher order equations, and their series solutions
- Fourier series, including periodic extensions, convergence of a Fourier series, Fourier cosine series and Fourier sine series, and piecewise functions
- Partial differential equations, including separation of variables and boundary value problems, the heat equation, and Laplace’s equation
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This Math 0-1: Calculus for Data Science & Machine Learning course will cover Calculus 1 (limits, derivatives, and the most important derivative rules), Calculus 2 (integration), and Calculus 3 (vector calculus). It will even include machine learning-focused material you wouldn’t normally see in a regular college course. We will even demonstrate many of the concepts in this course using the Python programming language (don’t worry, you don’t need to know Python for this course).
Who this course is for:
- Current Differential Equations students, or students about to start Differential Equations who are looking to get ahead
- Anyone who wants to study math for fun after being away from school for a while
- Anyone who needs Differential Equations as a prerequisite for Machine Learning, Deep Learning, Artificial Intelligence, Computer Programming, Computer Graphics and Animation, Data Analysis, etc.
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Taught by Krista King
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