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Numerical Analysis Course

Numerical Analysis Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

Gain practical skills in numerical analysis by modelling epidemics using the SIR model. Set up ODEs in vector form, code explicit Euler and RK4 methods, adjust step sizes for accuracy, and analyse stability, convergence, and error norms. Design experiments, create reliable reference solutions, and prepare reproducible reports highlighting uncertainties and limitations.

Elevify advantages

Develop skills

  • Model epidemic ODEs by constructing and analysing SIR systems in vector form.
  • Implement Euler and RK4 solvers for stable and efficient epidemic simulations.
  • Design convergence tests by selecting step sizes and developing reference solutions with error metrics.
  • Interpret numerical issues like instability and stiffness in epidemiological contexts.
  • Create technical reports justifying parameters, methods, and numerical accuracy.

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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