
Explore Matlab as a high-level numerical computing language with an interactive environment, built-in graphics, and toolboxes, and learn a structured problem-solving approach from problem statement to solution and validation.
Explore MATLAB as a numerical and graphical software with programming capabilities, including the command window, prompts, m-file scripts, help and documentation, and the current folder, workspace, and editor.
discover matlab tips and tricks: use which command to check variable names and avoid conflicts; use line continuation and dot operators for element-wise operations, ensuring dimensions match for matrix multiplication.
Learn to define variables in matlab using the assignment operator, dynamic typing, and values from constants, calculations, or function outputs; avoid reserved names with which and control output via semicolon.
Show how Matlab uses assignment statements to store expression results in variables with the left-hand side and the = operator. Cover variable naming, types, semicolon suppression, and workspace commands.
Form and index matrices in matlab using square brackets, semicolons for rows, and spaces or commas for elements; extract rows or columns and form matrices from vectors X and Y.
Explore how MATLAB uses vectors and matrices to store values, create row and column vectors, generate sequences with colon, linspace, and logspace, and index or extend them.
Create column vectors and matrices in Matlab using brackets, semicolons, spaces, and transpose, then access and modify elements with subscripted and linear indexing, extend matrices, and generate random data.
Learn to work with MATLAB dimensions using length, size, and numel to find element counts, refer to the last element, and reshape and flip arrays.
Explore scalar and element-wise operations on vectors and matrices in MATLAB, including multiplying by scalars, element-wise add, subtract, multiply, and divide, and computing dot and cross products.
Explore linear algebra with MATLAB by manipulating matrices and vectors, covering rank, determinant, eigenvalues, inverse, transpose, and identity matrices, then apply matrix multiplication and solve linear systems.
Introduces matlab file input/output, covering reading files, writing with save, appending data, loading data, and using type to display file contents.
Learn how to read and write data in MATLAB files using save, load, and type commands, including appending to text and data files and inspecting contents.
Learn to create and run matlab scripts and m-files in the editor and command window. Understand user defined functions with the function keyword, inputs, outputs, and help.
Learn to create, save, and call MATLAB user-defined functions as m-files, define inputs and outputs, and test them from the command window or editor with polynomial examples.
Learn Matlab plotting by creating figures and subplots, plotting x versus y, overlaying curves with hold on and hold off, and customizing with titles, axis labels, and grids.
Master advanced Matlab plotting: log log, semi log, and log space scales; bar charts, histograms, subplots, and 2d and 3d surfaces with mesh grid and movie frames.
Explore two-dimensional plots in Matlab, creating x-y plots from time and distance vectors, and customize with labels, grids, colors, legends, and subplots.
Discover 2d plotting in MATLAB, including linear, semilog x, log y, log log x plots, bar charts, histograms, and function plots with the f block, plus overlays with two y-axes.
Explore creating and customizing three-dimensional plots in Matlab, including 3D line plots, mesh plots, and surface plots, with shading, color maps, and animation options.
Explore user controlled input and output in matlab by reading values with the input function and displaying results via matrix display, disp, and formatted output with fprintf and sprintf.
Explore relational and logical operators in Matlab, applying and, or, not to combine conditions. Use the find function to locate indices meeting criteria with height and temperature examples.
Examine logical vectors by comparing vector elements to a threshold, producing a true/false vector used for indexing and analysis with sum, any, all, find, and is equal.
MATLAB is the most popular and widely used programming languages for engineers and scientists.
Millions of engineers and scientists worldwide use MATLAB Programming to analyse and design the systems and products transforming our world. MATLAB is in automobile active safety systems, interplanetary spacecraft, health monitoring devices, smart power grids, and LTE cellular networks. It is used for machine learning, signal processing, image processing, computer vision, communications, computational finance, control design, robotics, and much more.
The curriculum starts with the basics concepts and features and is MATLAB for Beginners then goes to Variables and assignment operations, Manipulating vectors and matrices, Linear Algebra, File Input/Output, User defined functions, Plotting and then gradually lays emphasis on all the advanced topics like advanced plotting, user controlled input and output, relational and logical functions, Loop statements & vectorising codes, String Manipulations, Data Structures, Advanced mathematics, Numerical techniques, Guided User Interface and Simulink
This course will provide a solid reference for both experienced and those who are brand-new to MATLAB. By the end of the course you can independently implement projects in MATLAB. This course will ensure that you gain skills which will help you to find a job or get promotion.
Feel forward to have a look at course description and demo videos and we look forward to see you inside