Matlab Basics

Matlab Basics

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1. Basic Syntax and Coding with a Text Editor

Master Matlab's core syntax and coding techniques to create professional-grade programs. Explore essential functions, harness its power for data analysis, modeling, and engineering, and elevate your skills with hands-on exercises and real-world applications that accelerate your learning journey.

Matlab's Place and Dark Mode

The Command Window

Installing a Text Editor and Its Packages

Finishing Off the Text Editor

Creating Snippets and Writing Programs

2. Coding Foundations

Master the foundations of data manipulation in Matlab, including importing data, utilizing for loops, and implementing if statements. Enhance your programming efficiency by modularizing your code, streamlining workflows, and building a solid foundation for advanced Matlab projects.

Messin with Matrices

Importing and Exporting Data to and from Excel

Modular Programming

3. Learning Through Applications

You'll apply everything you've learned to three real world situations and learn a whole bunch of syntax and details that come up in practice so that you can pull out concrete results from your Matlab programs.

Application: Nuclear Plant Data Analysis

Application: Medical Data Analysis

Generating Combinations

Application: Logistics Problem

The Sortrows and Find Functions

4. Visualizations

You'll start by getting your hands dirty exploring Matlab's top-tier visualization and graphing capabilities. After that, you'll learn how to automate graphing and combine the skills you already have to create custom visualizations. And on the way, you'll learn another fundamental aspect of programming: while loops.

Graphing Basics

Automating Graph Creation

Application: Calculating 3D Trajectories While Loops

Application: Graphing 3D Trajectories and Multiple Plots

System Function

5. Recursion and Matrix Multiplication

To close out, this section will begin by teaching you about recursive programming and how it can help you automate analyses and graphing on a whole new level. After that, you'll dive into the world of matrix multiplication, where you can take advantage of Matlab's state-of-the-art algorithms to open a huge diversity of doors for your programming future.

Recursive Programming

Understanding Matrices and Matrix Multiplication

Applying Matrix Multiplication: Transforming Vectors and Coordinate Systems

Applying Matrix Multiplication: Solving Systems of Equations

Applying Matrix Multiplication: Derivatives and Integrals

Career Prospects for a MATLAB Programmer

Conteúdo do Curso

Matlab Basics

Matlab Basics

1. Basic Syntax and Coding with a Text Editor

Matlab's Place and Dark Mode The Command Window Installing a Text Editor and Its Packages Finishing Off the Text Editor Creating Snippets and Writing Programs

2. Coding Foundations

Messin with Matrices Importing and Exporting Data to and from Excel For Loops If Statements Modular Programming

3. Learning Through Applications

Application: Nuclear Plant Data Analysis Application: Medical Data Analysis Generating Combinations Application: Logistics Problem The Sortrows and Find Functions

4. Visualizations

Graphing Basics Automating Graph Creation Application: Calculating 3D Trajectories While Loops Application: Graphing 3D Trajectories and Multiple Plots System Function

5. Recursion and Matrix Multiplication

Recursive Programming Understanding Matrices and Matrix Multiplication Applying Matrix Multiplication: Transforming Vectors and Coordinate Systems Applying Matrix Multiplication: Solving Systems of Equations Applying Matrix Multiplication: Derivatives and Integrals Career Prospects for a MATLAB Programmer

Messin with Matrices

Matrix operations are the base by which we manipulate numbers and data in Matlab. This chapter serves as a one-stop reference for a wide range of fundamental syntax as you get familiar. Explore the examples and play with your own, use the snippet as a quick reference when you're programming, and before long this will all be second nature.

Task

Defines the following two matrices as variables:

Calculates the component-wise product of A and B;
Calculates the component-wise square of matrix A;
Calculates the component-wise square root of the sum A + B;
Calculates the average values of each of the columns of B;
Calculates the sum of each of the rows of A;
Calculates the sum of all the entries of B;
Creates a new matrix in which the third row of A is replaced with that of B;
Calculates the maximum value of the average values of the rows of A;
Creates a new matrix containing just rows 2-4 and columns 2-3 of B.

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Seção 2. Capítulo 1

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