
Learn MATLAB and Simulink fundamentals through plotting, vectors and matrices, loops and conditions, user defined functions, and both MATLAB scripts and Simulink models, guided by quizzes, projects, and step-by-step demonstrations.
Access Matlab help from the home tab to view Matlab and Simulink documentation, toolbox guidance, and function syntax with examples.
Explore basic arithmetic commands in Matlab, including plus, minus, times, divide, and power, define variables in the workspace, and apply brackets to control the order of operations.
See how a Matlab for loop iterates 100 times to compute y = m x + b for a linear plot, using a 1-by-100 vector.
Learn how to use if else statements in Matlab to detect values above a limit in a random 10 by 1 vector, count how many exceed, and display the results.
Master Matlab cleanup by using clear to remove variables, close or close all to manage figures, and clc to clear the command window, then review command history.
Learn how to time Matlab scripts and functions using run in time and the profiler, then use tick and tock in the command window to measure elapsed time.
Learn how to create, save, and open workspace variables in Matlab, using the workspace editor, saving as a Matlab data file, and loading them back into the workspace.
Learn how to instantiate row and column vectors in MATLAB using brackets, spaces or commas, colons for range, semicolons for column separation, and transpose for orientation.
Learn to access individual elements in a matlab vector, row or column, using brackets like A(6). Matlab indexing starts at one, and you can transpose with .' as needed.
Learn to access workspace variables in a Simulink design, use simout to store results from a three-input and gate with constants a, b, and c, and re-access them for plotting.
Learn to label plots in Matlab by creating x and y variables, plotting them, and adding a title, x label, y label, and a legend to distinguish series.
Create and visualize area plots in Matlab by plotting a 1d random signal and a 3x4 matrix, using area(out) and area(example) with clear titles and labels.
Learn to plot multiple variables on a single Matlab figure by creating x, y, z signals, using hold on, adding a legend, and labeling axes and title.
Create a simple MATLAB function as a standalone file named my max.m that returns the maximum of five inputs using if statements, with a built-in help description.
Learn to define anonymous functions in MATLAB by creating function handles with the at symbol, then use them to evaluate integrals like g(c)=x^2+cx+1 from 1 to 0.
Publish a MATLAB script to generate a report showing square waves from sine waves, with publishing options for pdf or html and embedded equations.
Learn how to publish Matlab scripts by adding sections, bold, italics, hyperlinks, inline LaTeX, and more; choose output formats, styles, and code settings for polished reports.
Create, save, and run MATLAB scripts in the script editor using the dot m extension, sections, and run options, then display results in the workspace and command window.
Drag a MATLAB function block into a Simulink model, edit it to replicate a max function using five inputs with if statements, supply five constants, and display the result.
Learn to run a Simulink design using a bouncing ball model; set stop time, run the simulation, and interpret the position and velocity on the scope viewers.
By taking this course, you will become a fluent MATLAB programmer and you'll be so good so that you can get a reasonable job offer as a MATLAB developer and use the language professionally.
Throughout this comprehensive course, we cover a massive amount of skills and techniques including:
Basic maths and matrix manipuation functions
Data import and visualization
MATLAB Programming, problem solving , logic development and the use of customized functions
Symbolic functions and variables for advance math operations
File and directory handling
Live scripts and sharing of results
Advance data types including cells, tables, time tables and map containers
Data science classification, clustering and dimensionality reduction with MATLAB
Generating ppts, word files and pdfs
Code debugger and analyzer, exception handling, startup, finish and diary functions.
MATLAB (matrix laboratory) is one of the fundamental and leading programming language and is a must learn skill for anyone who want to develop a career in engineering, science or related fields. Excellent MATLAB programming skills is therefore a crucial factor in making or breaking your career.
MATLAB is a widely-used software program that is found in many industries ranging from engineering to finance. Users love it because it's easy to use and produces high quality graphics. All you have to do to get started is learn to code in MATLAB.
This course will teach you just that! We will start from the very beginning by introducing the desktop environment and work our way up to more complex topics like nested for loops. We'll cover lots of examples and work through all of them step by step. Unlike many instructors, I don't assume you know more than you do.