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A Step-by-Step Journey into the Basics MATLAB and Numerical Problem-Solving

What you will learn

Introduction to MATLAB: Understand the basics of MATLAB programming environment.

Fundamentals of MATLAB Programming: Master the essentials of MATLAB programming, including variables, data types, operators, and control flow structures.

Functions and Scripts: Gain proficiency in creating functions and scripts in MATLAB.

Numerical Methods Overview: Understand the importance and applications of numerical methods in solving engineering and scientific problems.

Solving Equations Numerically: Explore various root-finding methods to solve equations numerically.

Interpolation and Curve Fitting: Learn techniques for interpolating data points and fitting curves to experimental data.

Numerical Differentiation and Integration: Understand numerical techniques for differentiation and integration.

Linear Algebra with MATLAB: Master the use of MATLAB for linear algebra operations, including solving systems of linear equations.

Visualization of Results: Master the art of creating 2D plots to visually represent numerical results.

Description

This comprehensive course is designed to empower you with the skills needed to navigate MATLAB’s powerful environment and leverage numerical methods for solving complex engineering and scientific problems.

Course Highlights:

1. Introduction to MATLAB with Environment Basics:

  • Dive into the MATLAB environment, mastering the essentials of syntax, commands, and overall functionality.
  • Develop a solid foundation that will serve as the basis for advanced numerical problem-solving.

2. MATLAB Loops and Iterative Numerical Methods:

  • Explore the world of iterative numerical methods using MATLAB loops.
  • Learn how to solve mathematical problems through algorithms, reinforcing your programming skills.

3. Matrix Operations and Solution of Systems of Equations in MATLAB:


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  • Uncover the power of matrix operations in MATLAB for efficient problem-solving.
  • Solve systems of linear equations, a fundamental skill for various engineering and scientific applications.

4. Regressions and Interpolation:

  • Delve into regression analysis and interpolation techniques using MATLAB.
  • Gain the ability to model and analyze data, a crucial skill in fields ranging from finance to engineering.

5. Numerical Differentiation and Integration:

  • Understand and implement numerical techniques for differentiation and integration.
  • Apply these methods to analyze data, simulate physical systems, and solve real-world problems.

Why Take This Course?

  • Practical Focus: Each lecture is crafted to blend theoretical understanding with hands-on application, ensuring you can confidently apply MATLAB to real-world scenarios.
  • Progressive Learning Path: From introductory concepts to advanced numerical techniques, this course provides a structured learning path for mastering MATLAB and numerical methods.
  • Problem-Solving Skills: Acquire the skills to solve complex engineering and scientific problems, enhancing your analytical abilities and boosting your career prospects.

Embark on this journey, and by the end of the course, you’ll be equipped with the expertise to tackle numerical challenges with MATLAB, making you a proficient problem solver in your field. Enroll now and unlock the full potential of MATLAB for numerical methods.

English
language

Content

Introduction

Introduction

Control Flow Strategies

MATLAB Loops and Iterative Numerical Methods
Matrix Operation and Solution of System of Equation in MATLAB

MATLAB Regression and Interpolation

Regression Coefficients and Linear/Non-linear Reg
MATLAB (Interpolation)

Numerical Differentiation and Integration through MATLAB

Numerical Differentiation in MATLAB
Numerical Integration in MATLAB

MATLAB Numerical Solution of ODEs

Numerical Solution of ODEs in MATLAB