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Fourier Series Course

Fourier Series Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This focused Fourier Series Course gives you practical tools to analyze periodic signals, compute coefficients, and understand convergence, Gibbs effects, and harmonic decay. You will design filters, manage bandwidth, and verify results numerically in Python or MATLAB. Clear derivations, concrete recipes, and lab-ready checklists help you move quickly from formulas to reliable, real-world applications.

Elevify advantages

Develop skills

  • Master Fourier coefficients: derive Ck, an, bn for piecewise 2π-periodic signals.
  • Analyze harmonic spectra: link decay rates, smoothness, and energy distribution.
  • Design practical filters: set cutoff, ripple, and attenuation from Fourier data.
  • Implement partial sums: compute, plot, and verify series in Python or MATLAB.
  • Diagnose convergence: interpret Gibbs, symmetry, and error vs. number of harmonics.

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.
Workload: between 4 and 360 hours

What our students say

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Very excellent course. Lots of valuable information.
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