Numerical Calculus Course
This course provides hands-on skills in numerical methods for calculus, including differentiation of discrete data, numerical integration, solving ordinary differential equations, and error analysis, using practical templates and pseudocode for reliable implementations.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Numerical Calculus Course equips you with practical tools to differentiate discrete data, manage noise, and apply stable finite difference formulas with clear error analysis. You will compute accurate integrals using trapezoidal and Simpson’s rules, solve IVPs with Euler, Heun, and RK4, and use ready-made templates, pseudocode, and checklists to present reliable, well-documented numerical results with confidence.
Elevify advantages
Develop skills
- Mastery of numerical integration: apply trapezoid and Simpson rules with error control.
- Skills in solving ODEs: implement Euler, Heun, and RK4 with step-size error checks.
- Techniques for finite differences: estimate derivatives from noisy discrete data reliably.
- Expertise in error analysis: use Big-O, convergence plots, and Richardson extrapolation.
- Templates for implementation: build clear, reproducible numerical tables and pseudocode.
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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