
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.
Create a MathWorks account to download and install Matlab and Simulink, verify your email, and set up your profile for personal non-commercial use. Later, associate a license after purchase.
Learn how to purchase Matlab and Simulink, choose the right license (home, student, education, standard), select the latest release (r2017a), and download and install the software.
Install Matlab and Simulink on Windows by running the installer, logging in with a MathWorks account, and selecting the license and installation options.
Launch Matlab to verify your installation, check the version, license, and system details, and run a chirp signal in Simulink to generate a figure.
Explore the Matlab environment by mastering the command window, workspace, variable editor, script editor, and plotting tools, plus saving and loading workspaces.
Explore how the Matlab workspace displays current variables and supports creating, editing, and managing them from the command line, showing data types such as double, single, character arrays, and strings.
Explore the Matlab home, plots, and apps tabs to create scripts, manage data, plot x and y with multiple series, and customize layout, path, and simulink addons.
Use the Matlab command window to type equations, create variables, suppress output with semicolons, and verify script results, including operations like sqrt and basic arithmetic.
Access Matlab help from the home tab to view Matlab and Simulink documentation, toolbox guidance, and function syntax with examples.
Learn how to modify, set, and read data types in Matlab, including double, single, and int8, with practical examples and considerations for embedded systems.
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.
Compute a definite integral in Matlab by approximating the area under the sine curve from 0 to pi with a rectangle method, using y*dx and summing to near two.
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.
Explore how to implement a switch case with an otherwise clause in Matlab, using a script that prompts for input and displays values for -1, 0, 1, or other.
Use try catch statements in MATLAB to catch exceptions and inspect the identifier and message. Build a script that assigns NaN or zero based on the exception and continues calculations.
Discover how to use a Matlab while loop to increment a value from 0 to 10, display outputs in the command window, and end when the max value is reached.
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.
Print values and strings in MATLAB using the display command (disp) and standard output, including HTML hyperlinks, and format strings with s print f and percent d.
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.
Instantiate matrices in Matlab by creating A as a 3×3. Use ones, zeros, and eye to form 3×4, 2×2, and 5×5 matrices.
Create a 3x3 matrix in MATLAB and access individual elements with A(row, column); use A(:,2) for a full column and A(1:2,1:2) for a submatrix, noting column-major memory order.
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.
Explore matrix arithmetic in Matlab by creating matrices, applying transpose, performing matrix and element-wise multiplication and division, and extracting eigenvalues with eig.
Learn vector arithmetic in Matlab and Simulink by performing elementwise and matrix operations on vectors, exploring multiplication, division, addition, subtraction, transpose, and basic plotting.
Learn how to create figures in MATLAB using the home tab, docked figures, command window commands, and MATLAB scripts, including figure numbering and semicolon behavior.
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.
Explore Matlab subplot by creating a 2x2 figure with sine x, cosine x, x, and y plots, and title each subplot to compare their behaviors.
Learn to create a 2D line plot in Matlab by defining x from 0 to 5 in 0.1 steps, plotting with plot, and adding a title and axis labels.
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.
Create a bar graph in Matlab using a 4x4 sales matrix to compare four people over four months. Add a legend, a title, and axis labels for a complete plot.
Learn to create and interpret a Matlab histogram to visualize the distribution of random data, using the histogram function, bins, and axis labels.
Learn to create logarithmically spaced vectors with logspace, and visualize data using loglog and semi-log plots to reveal exponential trends in Matlab.
Learn to create 2d and 3d Matlab pie charts from monthly bill expenses, with labeled slices and titles for quick, visual comparison of groceries, electricity, water, cable, and internet.
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 stem plot in Matlab to visualize discrete samples of a sine wave by generating x from 0 to 12 with 0.1 increments and plotting wave with stem.
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.
Learn to call built-in and custom Matlab functions from the command window, pass multiple arguments, and edit a script to fix results and re-run using command history.
Discover how to add private functions inside a Matlab script, such as my mean and my median, and keep them accessible only within the script.
Create new Matlab scripts using the script editor via new script, keyboard shortcut ctrl+n, or the home tab. Copy and paste existing scripts from the navigator and edit them.
Set breakpoints and use the command window to debug MATLAB scripts, inspect the x and n values, and step through a for loop with conditional breakpoints.
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.
Explore running a Simulink chirp file to create workspace variables y and t, then plot the waveform with labeled axes using editor run, run-and-time, or command-line execution.
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.
Explore Matlab and Simulink tools through practical script examples, including surf plots, noisy and clean sine waves, histograms, and timing analyses, plus solving an ODE with ode45.
Learn how to use MATLAB functions in a script, calling built-in and custom functions like minmax to find the maximum of five inputs from the command window or a script.
Navigate the Simulink environment by opening the start page, selecting blank models or libraries, and dragging blocks from the library to build and simulate graphical block diagrams.
Learn how to create a blank Simulink model in Matlab, explore licenses and the Simulink start page, and use blocks to prepare designs for code generation.
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.
Open Simulink library browser and drag and drop blocks into your model, while considering state flow and HDL coder license constraints and keeping the library on top for easy access.
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.
Learn to access Simulink help and block-specific documentation via the library browser, hover tips, and examples, then use MathWorks resources for deeper guidance on blocks like gauge and bus assignment.
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.