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 Khan's 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
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