Numerical Analysis Course
This course teaches numerical analysis using the SIR epidemic model. Master Euler and RK4 solvers, error analysis, stability checks, and experiment design to convert differential equations into trustworthy predictions for real-world epidemic dynamics. Build skills in coding simulations, testing convergence, interpreting numerical issues, and reporting results clearly.

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.What our students say
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