
Master the basics of Matlab, from the interface and variables to vectors, matrices, image processing, and data visualization. Learn to write high quality, well-documented code with practical projects and exercises.
Master MATLAB's order of operations by using brackets to control precedence, practicing with exponents, fractions, and complex expressions to ensure results match the intended math.
Learn to use comments and sections in Matlab to document code, toggle execution with the percent sign, and create named sections to organize scripts.
Learn how MATLAB relational operators compare values: less than, greater than, equal, greater or equal, less or equal, and not equal, returning 0 or 1 and supporting variable assignments.
Solve polynomial equations using the roots function by inputting coefficient vectors, including zeros for missing powers, and learn gcd and lcm calculations across numbers and sets.
Learn vector arithmetic in MATLAB: add, subtract, multiply, and divide vectors and scalars, apply element-wise dot operations, and visualize weekly protein intake data with plots.
Learn conditional extraction on vectors using logical indexing to filter elements by conditions (less than 14, between 12 and 14) and modify or remove them in place.
Learn to use MATLAB's find function to obtain the indexes of vector elements meeting a condition, such as non-zero values, and compare with logical indexing for efficiency.
Generate a 500 by 500 random image in MATLAB, convert to grayscale, and visualize it. Extract pixels above 180 and form a 270 by 270 matrix with floor rounding.
Explore MATLAB special matrices, focusing on ones and identity matrices, learn multiple creation methods and diagonal extraction, and apply these techniques to vectors.
Master MATLAB matrix operations like triu and tril for upper and lower triangles, shift diagonals, use unique and ismember for elements and rows, and apply circular shift.
Explore essential MATLAB matrix functions, including trace, diagonal sums, and the diagonal, plus rank, determinant, and inverse, with attention to square vs non-square matrices.
Split a color image into four quadrants, extract each corner with half height and half width, then concatenate to reconstruct or rearrange, using all color channels via the colon operator.
Create basic plots in MATLAB by generating voltage and current vectors, computing current as voltage divided by resistance, and plotting voltage vs current with the plot function.
Master MATLAB conditional statements with if expressions and relational operators, using end for blocks, rem for even/odd checks, and size checks for safe matrix concatenation.
Master MATLAB conditional statements by building complex logical expressions with and/or and brackets, check evenness, divisibility by five, and range, then extract conditions into variables for readability.
Learn to nest if conditions in MATLAB to build a square matrix of ones of at least 3 by 3, and multiply by nine when numel(matrix) >= 20.
Use else for default conditions and a sign function with switch cases to color-code four plots by negative, zero, or positive checks of carbs, proteins, fats, and calories.
Explore element-by-element vector operations with for loops to model 2D motion using the equations of motion, initial conditions, angle, gravity, and time steps.
This course will transform you from a MATLAB Novice into a MATLAB Master. The course was developed under the strict oversight of Hristo Zhivomirov who is one of the top 50 MATLAB contributors Worldwide (search for his name in Google).
The course is structured in a way that is suitable for both beginners and those that already have some experience with MATLAB, there is a lot of information for everyone.
Everything in our world today can be viewed as some kind of a matrix, and I’m not talking about the Matrix Trilogy. For example
Measuring the temperature of a patient every 2 hours, can be represented with a one dimensional matrix, which is also called a vector
Monochromatic (black and white) image is a two dimensional matrix, the values in each cell in the matrix is representing the gradation of the gray color
Measuring temperature in a room for example, rooms are 3D, so we need x, y, z to describe the position at which we take our measurements, and the value is the temperature, that is a three dimensional matrix
Measure now the change of that temperature over a period of time and the temperature becomes a fourth dimension
Now add time in the mix and you get… a fifth dimension!
Actually MATLAB has no restrictions on dimensions, you can work with 4, 5, 6 and more dimensions in a single matrix!
How to handle The Matrix: It is not necessary to look for the red pill, like Neo had to – what you actually need is MATLAB, which means MATrix LABoratory contrary to popular belief. MATLAB is a programming language of high level and interactive programming environment that lets you easily implement numeric experiments and methods, allowing you to design algorithms, analyze data and visualize that data in a very, very powerful way.
You will learn:
Variables, everything you need to know about variables in matlab, their types or lack of types, converting between different types, naming conventions, the semicolon operator and more
Basic Arithmetic Operations in MATLAB, the most important thing in this section of the course are the Brackets and the Order of operations, many beginners get lost when they encounter complex expressions, and you will become a master of those
Right after that we are diving into deep waters starting with Vectors, you will learn how to think in vectors and perform a variety of different operations on and with vectors. Concatenating vectors, extracting or selecting subvectors, and more
Matrices are next on the line, but you wont need any pills, because I have you covered, you will learn everything you need to know about working with Matrices in MATLAB and you will also learn a trick in this section that will help you optimize your code and make it run up to 100 times faster!
Data visualization, because, well, whats the point of working with Data if you cant understand it or share it with other people, visualizing data is key in any area of work
And finally we get to the actual MATLAB Programming by utilizing conditional statements, loops and functions to control the flow of your code, write less code, and make your code modular.
Each section contains a source code file at the end so that you can download and review the code that I have written in the lectures!
I hope that you will enjoy this course, as much as I did creating it, so lets dive right into it!
I welcome you to the course!