Our MATLAB course teaches the skills engineering and science students use most: the MATLAB environment, vectors and matrices, scripts and functions, control flow, 2D and 3D plotting, importing and analysing data, numerical methods, solving equations and an introduction to Simulink. Lessons are live and one-to-one with a verified engineering tutor, who works through problems from your own modules. Suitable for undergraduate and postgraduate students.
Reviewed by K. Srinivasan, PhD in Mechanical Engineering (fluid mechanics and CFD)Last updated
$12 – $42
per hour
Free demo class · pay only if you continue
What you will learn
Prerequisites
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Course structure
In short: this course gives one-to-one online tutoring in MATLAB for engineering and science students. A verified tutor teaches arrays, scripts and functions, plotting, vectorisation, ODE solvers and Simulink basics, and reviews your own code.
MATLAB (matrix laboratory) is a programming environment and language from MathWorks, built around matrices, used by engineers and scientists for numerical computation, data analysis, visualisation and simulation. Many engineering degrees use it for labs and projects in signals, control, mechanics and numerical methods.
This online course teaches MATLAB one to one with a verified tutor who has studied or taught it at university level, at your pace and aligned with your own module.
Related subject: MATLAB help.
| Topic | Key content |
|---|---|
| MATLAB fundamentals | Interface, variables, operators, built-in mathematical functions |
| Vectors and arrays | Creating and indexing vectors, element-wise operations, vectorisation |
| Matrices | Matrix operations, multiplication, inverse, determinants, solving linear systems with backslash |
| Programming | Scripts, if statements, for and while loops, user-defined functions |
| Plotting | 2D plots, multiple plots, histograms, 3D, mesh and surface plots |
| Numerical methods | Root finding, interpolation, numerical differentiation and integration, solving ODEs with ode45 |
MATLAB is optimised for whole-array operations, so vectorised code is shorter and usually much faster than loops.
| Loop version | Vectorised version |
|---|---|
| for i = 1:n, y(i) = x(i)^2; end | y = x.^2; |
| total = 0; for i = 1:n, total = total + x(i); end | total = sum(x); |
| Find values above 5 with a loop and if | x(x > 5) |
Use element-wise operators such as .*, ./ and .^ when working element by element.
Here is a typical task: compute the sum of squares of 1 to 5 without a loop.
| Step | MATLAB |
|---|---|
| Create the vector | x = 1:5; |
| Square element-wise | x.^2 gives [1 4 9 16 25] |
| Sum | s = sum(x.^2) |
| Result | s = 55 |
Students most often lose marks in MATLAB through the habits below. Each is easy to fix with practice and feedback on your own work.
| Mark-loser | What to do instead |
|---|---|
| Using * instead of .* | Use element-wise operators for arrays |
| Loops where vectors would do | Vectorise where possible |
| Unlabelled plots | Add xlabel, ylabel, title and legend |
| Index starting at 0 | MATLAB arrays start at 1 |
| Scripts without comments | Comment each section |
MATLAB is usually assessed through lab exercises, coursework projects and sometimes timed practical tests.
Tutors explain concepts, work through practice problems with you and give feedback on your approach. Graded work you submit must be your own, as set out in our academic integrity policy. For deadline-driven guidance, see assignment help.
Lessons are live and one to one on video with screen sharing and a shared whiteboard. You can follow a full course or book sessions on the topics you find hardest before exams. See also Engineering Mathematics II, Fluid Mechanics and Python for Data Science.
A MATLAB tutor online teaches you through live 1-to-1 lessons on a shared screen, building scripts, plots and numerical methods around your own labs and coursework.
This MATLAB course suits engineering, science and maths students who use MATLAB in labs, assignments or final-year projects, and professionals who need MATLAB for data analysis or simulation.
Prerequisites: basic computer skills, school algebra and comfort reading graphs. No previous MATLAB experience is needed.
Course length: 40 one-hour lessons across 6 modules.
| Stage | Modules | What you can do afterwards |
|---|---|---|
| 1 | MATLAB fundamentals, vectors and arrays | Use the desktop, create vectors and index arrays |
| 2 | Matrices | Solve linear systems and use element-wise operations correctly |
| 3 | Programming | Write scripts, functions, loops and conditions |
| 4 | Plotting, numerical methods | Produce labelled 2D and 3D plots and solve ODEs with ode45 |
Where it leads: MATLAB supports our Engineering Mathematics II course and Fluid Mechanics.
Numerical computation, data analysis, visualisation and simulation in engineering and science.
No. Its syntax is simple; the key is thinking in vectors and matrices.
Create a function file or local function starting with function [out] = name(in).
MATLAB's general-purpose solver for non-stiff ordinary differential equations.
Tutors can introduce Simulink basics on request.
Tutors explain concepts and review your code; the work you submit must be your own.
Yes. Many engineering courses and industries still use MATLAB.
The price depends on the tutor and session length. You see the hourly rate before booking, with no subscription.
No. Tutors explain, guide and give feedback so you can complete your own work, in line with our academic integrity policy.
For engineering maths, MATLAB is often easier to start with, because matrices, plotting and toolboxes work straight away in one environment. Python is a more general language and needs libraries such as NumPy and Matplotlib, but it is free and widely used beyond engineering. Many students learn MATLAB for coursework and Python later.
At 1.
MATLAB Onramp is a self-paced introductory course from MathWorks, the company that makes MATLAB. It takes about two hours and covers commands, vectors and matrices, plotting, data import and basic programming, and it offers a shareable certificate. It is a good first step before tutoring on your own coursework.
Learn MATLAB by using it on real problems from your course. Start with vectors, matrices and plotting, then write scripts and functions, and finally numerical methods such as ode45. MathWorks offers MATLAB Onramp, a self-paced introduction of about two hours. Your tutor then works through your own assignments and labs with you.
Writing operations on whole arrays instead of loops, which is faster and cleaner.
A variable that refers to a function, written with @, such as @(t,y) -y.
A MATLAB tool for modelling and simulating dynamic systems with block diagrams.
Yes. Tutors review your own code and explain improvements.
Create vectors for your data, for example x = 0:0.1:10 and y = sin(x), then call plot(x, y). Add xlabel, ylabel and title to label the graph, legend for several lines, and grid on for gridlines. Use hold on to draw more than one line on the same axes. Your tutor helps you format plots for reports.
Yes. Lessons are online, so you can book times that suit your time zone.
Yes. You can learn with a 1-to-1 MATLAB tutor online through live lessons with a shared screen. Your tutor explains vectors, matrices, scripts and plotting step by step, helps you debug your own code and shows you how to approach lab tasks and assignments, so you can complete them yourself.
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