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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 expertise in essential numerical methods for creating dependable, efficient computations. Cover floating-point basics, error analysis, root-finding algorithms, ODE solvers, and integration techniques. Then use them to develop, validate, and refine a comprehensive numerical library featuring intuitive APIs, automated tests, and optimised code in contemporary programming languages.

Elevify advantages

Develop skills

  • Design reliable numerical algorithms by managing floating-point and rounding errors effectively.
  • Develop strong root-finding solvers including bisection, Newton, secant, and hybrid approaches.
  • Solve ODEs using numerical methods like Euler and Runge-Kutta stepping schemes with testing.
  • Implement precise quadrature rules such as Simpson's, trapezoidal, Gaussian, and adaptive methods.
  • Construct validated numerical libraries with clear APIs, unit tests, and performance enhancements.

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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