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Numerical Methods in Computing Course

Numerical Methods in Computing Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

Master core numerical methods fi build reliable, high-performance computations. Learn floating-point fundamentals, error analysis, root-finding, ODE solvers, quadrature techniques, den apply dem fi design, test, an optimize a robust numerical library wid clean APIs, automated validation, an performance-aware implementations in modern programming languages.

Elevify advantages

Develop skills

  • Design stable numerical algorithms: control floating-point and rounding errors fast.
  • Implement robust root-finding solvers: bisection, Newton, secant, and hybrids.
  • Solve ODEs numerically: build and test Euler and Runge–Kutta time-stepping codes.
  • Apply efficient quadrature: Simpson, trapezoidal, Gaussian, and adaptive rules.
  • Build tested numerical libraries: clean APIs, unit tests, and performance tuning.

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

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