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Numerical Methods in Computing Course

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

What will I learn?

Gain mastery over essential numerical methods for creating dependable, high-performance computations. Explore floating-point basics, error analysis, root-finding techniques, ODE solvers, and quadrature methods, then use them to develop, validate, and refine a comprehensive numerical library featuring intuitive APIs, automated testing, and optimised implementations in contemporary programming languages.

Elevify advantages

Develop skills

  • Design stable numerical algorithms by managing floating-point and rounding errors effectively.
  • Implement reliable root-finding solvers including bisection, Newton, secant, and hybrid approaches.
  • Solve ODEs numerically by constructing and validating Euler and Runge-Kutta stepping methods.
  • Apply efficient quadrature techniques such as Simpson's, trapezoidal, Gaussian, and adaptive rules.
  • Develop thoroughly tested numerical libraries with clear APIs, unit tests, and performance optimisation.

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

Your lessons are perfect. I purchased the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
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Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
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Mariana FerresPhotography Student
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Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
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Giulio CarloPrompt Engineering Student

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