Udemy - Become a Differential Equations Master 2022 Free Download

Udemy – Become a Differential Equations Master 2022
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Learn everything from Differential Equations, then test your knowledge with 680+ practice questions

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

AND HERE’S WHAT YOU GET INSIDE OF EVERY SECTION:

Videos: Watch over my shoulder as I solve problems for every single math issue you’ll encounter in class. We start from the beginning… I explain the problem setup and why I set it up that way, the steps I take and why I take them, how to work through the yucky, fuzzy middle parts, and how to simplify the answer when you get it.

Notes: The notes section of each lesson is where you find the most important things to remember. It’s like Cliff Notes for books, but for math. Everything you need to know to pass your class and nothing you don’t.

Quizzes: When you think you’ve got a good grasp on a topic within a course, you can test your knowledge by taking one of the quizzes. If you pass, great! If not, you can review the videos and notes again or ask for help in the Q&A section.

Workbooks: Want even more practice? When you’ve finished the section, you can review everything you’ve learned by working through the bonus workbook. The workbooks include tons of extra practice problems, so they’re a great way to solidify what you just learned in that section.

HERE’S WHAT SOME STUDENTS HAVE TOLD ME ABOUT MY COURSES:

“King is a thorough teacher, her course is broken up into easily-digestible parts. Do some every day – and before you know it, you have a better understanding of math!” – KDH.

“Once again, just like with Krista King’s other courses, I got to enjoy clear explanations, and multiple examples, and discovered an unsuspected passion for math within myself. Highly recommended!” – Juan C.

“Straight forward and time-saving – thank you!” – Luisa B.

YOU’LL ALSO GET:

Lifetime access to Become a Differential Equations Master

Friendly support in the Q&A section

Udemy Certificate of Completion available for download

30-day money back guarantee

Enroll today!

I can’t wait for you to get started on mastering Differential Equations.

– Krista 🙂
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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