Numerical Analysis Course
Gain expertise in numerical analysis via the SIR epidemic model. Master Euler and RK4 solvers, error analysis, stability checks, and experiment design to convert ODEs into trustworthy predictions for real-world epidemic dynamics. Build skills for accurate simulations and clear reporting on numerical reliability.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course provides a practical guide to modelling epidemics using the SIR model. Learners will formulate ODEs in vector form, code Euler and RK4 methods, adjust step sizes, and analyse stability, convergence, and errors. It covers designing experiments, creating reference solutions, and producing reports that address uncertainty and limitations.
Elevify advantages
Develop skills
- Model epidemic ODEs by constructing and examining SIR systems in vector format.
- Code Euler and RK4 methods for stable and efficient epidemic simulations.
- Plan convergence studies, select step sizes, and develop reference solutions with error measures.
- Analyse numerical issues like instability and stiffness in relation to epidemiology.
- Create detailed reports justifying parameters, methods, and accuracy levels.
Suggested summary
Before starting, you can change the chapters and 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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