Numerical Methods in Computing Course
This course teaches numerical methods in computing to create faster, more reliable technology solutions. Learners will master root-finding, ODE solvers, numerical integration, error control, and robust algorithm design for high-performance software and data-intensive applications in Uganda's growing tech sector.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
Gain expertise in essential numerical methods for reliable, high-performance computing. Cover floating-point basics, error analysis, root-finding, ODE solvers, and quadrature techniques. Apply these skills to design, test, and optimise a strong numerical library featuring clean APIs, automated validation, and efficient implementations using modern programming languages suitable for Uganda's tech needs.
Elevify advantages
Develop skills
- Design stable numerical algorithms by controlling floating-point and rounding errors effectively.
- Implement robust root-finding solvers including bisection, Newton, secant, and hybrid methods.
- Solve ODEs numerically by building and testing Euler and Runge-Kutta time-stepping codes.
- Apply efficient quadrature techniques like Simpson, trapezoidal, Gaussian, and adaptive rules.
- Build tested numerical libraries with clean APIs, unit tests, and performance tuning.
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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