
Description of the course
Numerical analysis is a branch of mathematics that deals with the development and application of methods for solving mathematical problems numerically, typically using computers.
Learning Outcomes
1. Understand numerical methods for solving equations and systems of equations
2. Apply numerical techniques for interpolation, differentiation, and integration
3. Analyze the accuracy and stability of numerical methods
4. Implement numerical algorithms using computational tools
Core Units
1. Root Finding Methods: Bisection, Newton-Raphson, Secant methods
2. Interpolation and Approximation: Polynomial interpolation, Splines
3. Numerical Differentiation and Integration: Finite differences, Quadrature rules
4. Solving ODEs: Euler's, Runge-Kutta methods
5. Systems of Equations: Gaussian elimination, Iterative methods
Sample Interactive Activities:
1. Simulation: Use Python to solve a nonlinear equation using Newton-Raphson
2. Group Project: Compare numerical integration methods for a real-world problem
3.Quiz: Identify the most suitable numerical method for a given problem 💡
- Teacher: Admin User
