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ODEs-Numerical Methods for Differential Equations Using MATLAB in (Arabic-بالعربي)

ODEs This course introduces students to the numerical solution of ordinary differential equations (ODEs) using the MATLAB programming language. ODEs are mathematical equations that describe how a quantity changes over time. People use them in a wide variety of fields, …

Overview

ODEs

This course introduces students to the numerical solution of ordinary differential equations (ODEs) using the MATLAB programming language. ODEs are mathematical equations that describe how a quantity changes over time. People use them in a wide variety of fields, including engineering, physics, chemistry, and biology.

In this course, students will learn the following:

  • Types of ODEs: There are many different types of ODEs, each with its own unique characteristics. Students will learn about the different types of ODEs and how to classify them.
  • Analytical solutions: Some ODEs have analytical solutions, meaning that they can be solved exactly using mathematical methods. Students will learn how to solve ODEs analytically, when possible.
  • Numerical methods: When analytical solutions are not available, numerical methods can be used to approximate the solution to an ODE. Students will learn about a variety of numerical methods for solving ODEs, including the Euler method, the Runge-Kutta method, and the Adams-Bashforth method.
  • MATLAB implementation: Students will learn how to implement the numerical methods for solving ODEs in MATLAB.
    MATLAB, a powerful programming language, is well-suited for scientific computing.
  • Error analysis: Numerical methods always introduce some error into the solution. Students will learn how to analyze the errors associated with numerical methods and choose the appropriate method for a given ODE.

In addition to the above topics, students will also learn how to use MATLAB to solve systems of linear equations, which are closely related to ODEs.

Course Objectives

By the end of this course, students will be able to:

  • Understand the different types of ODEs and how to classify them.
  • Solve ODEs analytically, when possible.
  • Implement numerical methods for solving ODEs in MATLAB.
  • Analyze the errors associated with numerical methods and choose the appropriate method for a given ODE.
  • Use MATLAB to solve systems of linear equations.

Course Content

The course will cover the following topics:

  • Introduction to ODEs
  • Analytical solutions to ODEs
  • Numerical methods for ODEs
  • MATLAB implementation of numerical methods
  • Error analysis
  • Systems of linear equations

Course Requirements

Students in this course should have a strong foundation in mathematics and MATLAB programming. You don’t need prior knowledge of ODEs, but having it is helpful. to more courses :DEV-HOC

Curriculum

Instructor

Academic qualification:
-إمكانية تدريس :
1-لغة ماتلاب Matlab و Simulink و GUIDE و AppDesigner (بما يخص طلاب الهندسة و العلميين)
2-لغة Visual C++ و Borland C++ و C#
3- كيفية التحكم بالأجهزة العلمية بربطها بمخارج GPIB و Serial و TCPIP و USB و ذلك عن طريق برنامج Matlab و C++.
4- طرق التحليل العددي.
5-الفيزياء و الرياضيات و الليزر للمستوى الجامعي أو الدراسات العليا.

Package

Requirements

  • Strong foundation in mathematics and MATLAB programming
  • Prior knowledge of ODEs is not required, but it is helpful.

Features

  • MATLAB
  • Ordinary Differential Equations
  • Numerical Methods using MATALAB

Target audiences

  • Engineering Students
  • Researchers
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