Numerical Calculus Course
This course equips you with practical numerical calculus skills for integration, differentiation, and solving ordinary differential equations. Master trapezoidal and Simpson's rules, Euler, Heun, and RK4 methods, finite differences for noisy data, and thorough error analysis using Big-O, convergence plots, and Richardson extrapolation. Use ready templates and checklists for reliable, documented results in mathematical modelling.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain hands-on tools for numerical differentiation of discrete noisy data, stable finite differences with error bounds, accurate integration via trapezoidal and Simpson’s rules, and IVP solutions using Euler, Heun, and RK4. Employ templates, pseudocode, and checklists to deliver confident, well-documented numerical outcomes.
Elevify advantages
Develop skills
- Master numerical integration using trapezoidal and Simpson's rules with error checks.
- Develop ODE solving skills with Euler, Heun, and RK4 methods including step-size control.
- Apply finite difference methods to compute derivatives from noisy data accurately.
- Gain expertise in error analysis via Big-O notation, convergence plots, and Richardson extrapolation.
- Create reusable templates for clear pseudocode and reproducible numerical results.
Suggested summary
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