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!
Información sobre el Instructor
4.44 Calificación
150523 Estudiantes
21 Cursos
Dmitri Nesteruk
Software/Hardware Engineering • Quant Finance • Algotrading
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.
Student feedback
Reviews
Krutarth Patel
29-11-2020
I just enrolled for a quick overview but too many basic mathematical errors! This course needs rectification before releasing it openly.
it's not really a course, but a summary of techniques