Module 1: Introduction to MATLAB

• MATLAB overview: applications in engineering, science, and finance
• MATLAB interface: command window, workspace, editor, and file browser
• Variables, data types, and basic arithmetic operations
• MATLAB help system and documentation navigation

Module 2: Matrices, Vectors, and Array Operations

• Creating row vectors, column vectors, and matrices
• Matrix operations: addition, multiplication, transpose, and inverse
• Element-wise operations and logical indexing
• Built-in matrix functions: size, length, zeros, ones, and eye

Module 3: Programming Fundamentals

• Control flow: if-elseif-else and switch-case statements
• Loops: for loops, while loops, and break/continue commands
• Writing and calling MATLAB functions and scripts
• Debugging techniques: breakpoints, watch variables, and error handling

Module 4: Data Visualisation

• 2D plots: line, scatter, bar, histogram, and pie charts
• Customising plots: labels, titles, legends, and colour formatting
• Multiple plots: subplot, hold on, and figure management
• 3D visualisation: surf, mesh, contour, and plot3 functions

Module 5: Numerical Methods and Engineering Mathematics

• Numerical integration: trapz, quad, and integral functions
• Solving ordinary differential equations with ode45 and ode23
• Root finding: fzero, fsolve, and bisection method implementation
• Curve fitting: polyfit, polyval, and least squares regression

Module 6: Signal Processing with MATLAB

• Signal generation: sine waves, square waves, and noise
• Fast Fourier Transform (FFT) and frequency domain analysis
• Digital filters: low-pass, high-pass, and bandpass filter design
• Signal processing applications: audio analysis and vibration data

Module 7: Simulink for Dynamic System Modelling

• Simulink interface: blocks, signals, and simulation parameters
• Building continuous and discrete-time system models
• Transfer functions, state-space models, and PID controller design
• Simulation of mechanical, electrical, and control systems

Module 8: Capstone Project and Assessment

• Engineering data analysis project with visualisation and reporting
• Numerical solution of a real-world differential equation problem
• Simulink control system design and simulation project
• Final assessment and course certification

Experience in the Industry Gain expertise from MATLAB practitioners who have applied engineering computing, signal processing, control system design, and numerical analysis to solve complex problems in aerospace, automotive, telecommunications, and financial engineering.

Backgrounds at the Top Our MATLAB trainers have worked at research institutions, defence laboratories, automotive OEMs, and engineering consultancies where MATLAB and Simulink are core tools for analysis and system modelling.

Clear & Effective Teaching MATLAB programming, matrix operations, data visualisation, numerical methods, signal processing, and Simulink modelling are taught progressively from fundamentals to applied engineering problems.

Hands-On Learning Focus Students solve real engineering and scientific problems through hands-on MATLAB scripts, data analysis projects, and Simulink system simulations that build practical computing skills.

Up-to-Date Knowledge Trainers keep content current with the latest MATLAB and Simulink releases, MATLAB Online capabilities, App Designer for GUI development, and integration with Python and machine learning toolboxes.