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Course work with Matlab

Matlab/Octave, Simulink, signal processing (DSP), automatic control systems, Image Processing Toolbox, neural networks and mathematical modeling.

from UAH 2,500 Term from 5 days

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Areas of coursework with Matlab

From building mathematical models in the Matlab environment to complex Simulink simulations. We use professional toolboxes for each subject area.

Simulink simulation

Block diagrams of dynamic systems, Solver settings (ode45, ode23s, ode15s), subsystems, Stateflow, SimPowerSystems. Modeling of physical processes with visualization of results.

from UAH 3,000

Signal Processing (DSP)

Discrete and fast Fourier transform (FFT), filtering (FIR, IIR), spectral analysis, wavelet transform. Signal Processing Toolbox with construction of spectrograms.

from UAH 2,500

Automatic control systems

Transfer functions, Bode, Nyquist diagrams, root hodograph. PID controllers, state space, Control System Toolbox. Stability analysis according to Hurwitz and Raus criteria.

from UAH 2,500

Image Processing (Image Processing)

Noise filtering, contour selection (Canny, Sobel), morphological operations, segmentation, object recognition. Image Processing Toolbox and Computer Vision Toolbox.

from UAH 3,000

Mathematical modeling

Numerical methods of ODE solution (ode45, ode23), interpolation, approximation, optimization (fmincon, fsolve). Symbolic Math Toolbox for analytical calculations.

from UAH 2,500

Neural networks (Neural Network Toolbox)

Perceptrons, direct propagation networks, recurrent networks, learning with and without a teacher. Deep Learning Toolbox for data classification, regression and clustering.

from UAH 3,500

How we work

TK analysis

We study the methodology, determine the necessary Toolbox, mathematical model and input parameters

Modeling

We develop a mathematical model, create scripts or a Simulink scheme, test on control data

Visualization

We build graphics, diagrams, 3D surfaces. We prepare the results for insertion into the explanatory note

Surrender

We demonstrate the operation of scripts, explain the code. Payment after confirmation of the result

What is included in the Matlab course

Matlab scripts (.m files) with comments
Simulink models (.slx) with configured parameters
Graphs and visualization (plot, surf, stem, bode)
Analysis of results with conclusions

Test data sets to reproduce the results
GUI interface (App Designer or GUIDE) as needed
Explanatory note with theory and formulas
Free edits and consultation before defense

Reviews of Matlab courses

"Course with Simulink - simulation of a direct current electric drive. Transfer functions, PID controller, transient processes. The teacher was satisfied with the quality of the model and the design of the graphs!"

Andriy M.

NTUU "KPI", Kyiv

"I ordered a course on signal processing — ECG signal filtering. FFT analysis, FIR filter design, comparison of Hamming and Blackman windows. Everything works, the spectrograms are beautiful!"

Iryna L.

NTU "KhPI", Kharkiv

"Modeling of a heat exchanger in Matlab. Numerical solution of the ODE by the Runge-Kutta method, construction of a 3D surface of the temperature field. Made in 7 days, quality at a height."

Marek W.

AGH, Krakow

All reviews

Frequently asked questions about Matlab courses

We work with both platforms. Matlab is a commercial environment from MathWorks with a full set of Toolbox (Signal Processing, Image Processing, Control System, etc.). GNU Octave is a free analogue compatible with most Matlab scripts. If your university provides a Matlab license, we use it, otherwise we check compatibility with Octave.

Yes, Simulink is one of our key specializations. We create models of dynamic systems of any complexity: from simple block diagrams to complex systems with subsystems, Stateflow diagrams and S-functions. We configure Solver parameters, perform parametric analysis, SimPowerSystems for the power industry.

We work with the main Toolbox: Signal Processing (filtering, FFT), Image Processing (image processing), Control System (control systems), Deep Learning / Neural Network (neural networks), Optimization (optimization), Statistics and Machine Learning (statistics), Symbolic Math (symbolic calculations), Communications (telecommunications). If you need a specific Toolbox, specify.

Definitely. Each Matlab course contains high-quality graphics: 2D graphics (plot, stem, stairs), 3D surfaces (surf, mesh, contour), Bode and Nyquist diagrams for SAU, spectrograms for DSP. All graphs have axis labels in Ukrainian, a legend, and a title. We export to PNG/EPS for insertion into a note.

The standard term is from 5 to 10 days. Simple tasks (array processing, graphing, numerical methods) — 3-5 days. Complex projects (Simulink models with several subsystems, neural networks, image processing) — 7-14 days. Urgent mode with 30% surcharge — from 3 days.