Numerical Analysis Course
Master numerical analysis through the SIR epidemic model. Learn Euler and RK4 methods, error and stability analysis, and rigorous experiment design to turn differential equations into reliable, data-driven predictions for real-world dynamics.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This Numerical Analysis Course gives you a focused, hands-on path to modeling epidemics with the SIR system. You will set up ODEs in vector form, implement explicit Euler and RK4, tune step sizes, and study stability, convergence, and error norms. Learn to design numerical experiments, build reliable reference solutions, and write clear, reproducible reports that communicate uncertainty and practical limitations.
Elevify advantages
Develop skills
- Model epidemic ODEs: build and analyze SIR systems in vector form.
- Implement Euler and RK4 solvers: code stable, efficient epidemic simulations.
- Design convergence tests: choose step sizes, build reference and error metrics.
- Interpret numerical artifacts: link instability, stiffness, and epidemiological meaning.
- Produce clear technical reports: justify 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 workloadWhat our students say
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