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Fourier Series Course

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

What will I learn?

Gain hands-on skills in analysing periodic signals, calculating Fourier coefficients, and grasping convergence, Gibbs phenomenon, and harmonic decay. Build filters, control bandwidth, and validate outcomes using Python or MATLAB. Straightforward explanations, step-by-step guides, and practical checklists enable swift application of theory to real-world engineering and maths problems.

Elevify advantages

Develop skills

  • Master Fourier coefficients: derive Ck, an, bn for piecewise 2π-periodic signals.
  • Analyse harmonic spectra: connect decay rates, smoothness, and energy distribution.
  • Design practical filters: configure cutoff, ripple, and attenuation using Fourier insights.
  • Implement partial sums: calculate, plot, and check series in Python or MATLAB.
  • Diagnose convergence: assess Gibbs phenomenon, symmetry, and errors against harmonic count.

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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SilviaNurse
Great course. Lots of valuable information.
WiltonCivil Firefighter

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