2020 MATLAB Bootcamp- MATLAB coding, Algorithms, Simulink

2020 MATLAB Bootcamp: MATLAB coding, Algorithms, & Simulink, available at $19.99, has an average rating of 4, with 35 lectures, based on 15 reviews, and has 117 subscribers.

You will learn about MATLAB Programming Algorithms: Simulation, Functions, Structures, and Control Statements through MATLAB M files Graphical User Interfacing and Visuallization of Data in MATLAB Environment Mathematical operations of Vectors and Matrix through MATLAB Syntax Engineering and Technical Projects of MATLAB/Simulink You will Get a Foundation for Machine Learning, Pattern Recognition, and Deep Neural Networks with MATLAB This course is ideal for individuals who are Engineers or Scientists or Researchers It is particularly useful for Engineers or Scientists or Researchers.

Enroll now: 2020 MATLAB Bootcamp: MATLAB coding, Algorithms, & Simulink

Summary

Title: 2020 MATLAB Bootcamp: MATLAB coding, Algorithms, & Simulink

Price: $19.99

Average Rating: 4

Number of Lectures: 35

Number of Published Lectures: 35

Number of Curriculum Items: 35

Number of Published Curriculum Objects: 35

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

MATLAB Programming Algorithms: Simulation, Functions, Structures, and Control Statements through MATLAB M files

Graphical User Interfacing and Visuallization of Data in MATLAB Environment

Mathematical operations of Vectors and Matrix through MATLAB Syntax

Engineering and Technical Projects of MATLAB/Simulink

You will Get a Foundation for Machine Learning, Pattern Recognition, and Deep Neural Networks with MATLAB

Who Should Attend

Engineers

Scientists

Researchers

Target Audiences

Engineers

Scientists

Researchers

MATLAB Master Kit: Go deep in MATLAB Programming, Algorithms, Logics, and Simulink Programming to get A+ grade in Image Processing, and Signal Processing, from the Campus.

MATLABis the Matrix Laboratory,an essential tool for engineering and scientific research. MATLAB Programming skill is crucial to be a good researcher in the field of Image processing, Pattern Recognition, Computer Vision, Machine Learning, Signal Processing, and Control Systems. Both undergraduate, postgraduate students of science and engineering can benefit from this MATLAB Bootcamp.

The course content is for every level, and we don’t expect any prior knowledge about MATLAB. Enrolled student will get knowledge from zero to hero level, after the completion. Here we have provided an intro to what we include here:

1 – Welcome to MATLAB

In this section we provided detailed introduction to the MATLAB basic features such as Workspace, Current directory, Command Window, Script, Built-in Apps, and MATLAB Help section.The variable declaration, initialization, and its data types have been explained. Moreover, Matrices, Arrays and objects have also been introduced in this section of the course.

2 – Basic Programming

In the second section we have briefly described about the Logical Expression, Conditional statements, Loops,and Objects.The MATLAB Trouble-Shooting methods with debugging is explained with the demo. The data type error and dimensionality mismatching problems have been resolved.

3 – MATLAB indexing

In this section the MATLAB indexing such as search by index, colon operator effectives, cells, tables, and reshaping of the Matrix is explained with their live demo on MATLAB.

3 – MATLAB Graphs

In this section, both discrete and continuous graphs have been plotted. Moreover, the complete settings of the plot’s line width, marker type, font size, title, legends, and colors have been explained in detail. The plot rendering for resolution enhancement, and figures size have been covered for creation of high quality 600 dpi plots for research papers.

4 – MATLAB Image/Video processing

In this section, image processing operation such as image read/write, rgb to gray scale conversion, image enhancements, filtering, edge detection, and morphological operation on image have been covered.

5 – MATLAB GUI

The complete details of GUI through built-in Guide app have been covered and the some basic GUI has been created in the demo section. The user input, push buttons, slider, axis, and functions have been explained in this session.

MATLAB Programming skills you will get at the completion:

1. Knowledge about arithmetic and trigonometric expressions.

2. Plots of Continues and discrete graphs though MATLAB

3. About MATLAB Script, M-File, Objects and Structures

4. Manipulate Images and Videos

5. The GUI for Various Projects

Our upcomming series will be about Image Processing, Computer Vision, Pattern Recognition, Machine Learning, and Deep Learning. The Deep insight to AlexNet, GoogleNet, VGG, InceptionV3, ResNet, and many Handcrafter feature extraction and classification will be provided.

Good Luck and stay tuned to our MATLAB programming Academy.

Regards,

The methods of code debugging and troubleshooting have been shown to the students.

Dr. Fawad Khan

Course Curriculum

Chapter 1: Introduction

Lecture 1: How to Create Variables in Matlab

Lecture 2: Matrices and Vectors

Lecture 3: Value Search in Matrices

Lecture 4: Zero Matrix and Diagnoal Matriices

Lecture 5: Vectors and Matrices Cancatination

Lecture 6: Index Search in Matrices

Lecture 7: Cell and Array

Lecture 8: Matlab script/Mfiles

Lecture 9: User Interface

Chapter 2: Arithmatic Operations

Lecture 1: Substitution

Lecture 2: Complex Numbers

Chapter 3: Import Data into Matab Workspace

Lecture 1: Import from Excel

Lecture 2: Save Variables as .Mat

Chapter 4: Matlab Graphs

Lecture 1: Plots in Matlab

Lecture 2: Sub-plots for Multiple Graphs on One Figure

Lecture 3: Discrete Plot

Lecture 4: Bar Plots

Lecture 5: MATLAB High Quality Figures

Lecture 6: Web Scaping with Matlab

Chapter 5: Matlab Functions

Lecture 1: Introduction to MATLAB Functions

Lecture 2: Intorduction to MATLAB Structures

Chapter 6: Conditional Statements

Lecture 1: IF, Else condition

Lecture 2: For Loop with MATLAB

Lecture 3: While Loop with MATLAB

Lecture 4: Switch Statement

Chapter 7: Image Processing in MATLAB

Lecture 1: Image Read and Display

Lecture 2: Image Histogram

Lecture 3: Image Color Space Conversion

Lecture 4: Write an Image to a Specific Directory in Matlab

Lecture 5: Image Enhancement

Chapter 8: Video Processing in Matlab

Lecture 1: Read Video file in Matlab

Chapter 9: Graphical User interface (GUI)

Lecture 1: GUI Project – Sample

Lecture 2: Introduction to GUI Development

Lecture 3: Dispaly Signal Plots in GUI

Lecture 4: Browse and Display Images in GUI

Instructors

Fawad Khans Programming Academy
MATLAB Programming Instructor on and a Freelancer

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 3 votes

4 stars: 5 votes

5 stars: 5 votes

Frequently Asked Questions

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