Fourier Series Course
This course builds strong Fourier series knowledge from basics to advanced uses in filter design. You will calculate coefficients, study harmonic spectra, handle bandwidth limits, and confirm results using Python or MATLAB. Transform periodic signals into powerful tools for math and engineering projects with confidence and accuracy.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain essential skills in Fourier series to break down periodic signals, calculate coefficients, explore convergence issues like Gibbs phenomenon, and harmonic patterns. Build filters, control bandwidth, and test everything with Python or MATLAB code. Straightforward explanations, step-by-step methods, and practical checklists turn theory into real engineering solutions fast.
Elevify advantages
Develop skills
- Master Fourier coefficients for 2π-periodic signals: derive Ck, an, bn easily.
- Analyze spectra linking decay, smoothness, and energy spread clearly.
- Design effective filters setting cutoff, ripple, and attenuation specs.
- Implement series partial sums: code, plot, and check in Python or MATLAB.
- Diagnose convergence issues like Gibbs effects and harmonic errors.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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