Numerical Calculus

Numerical Analysis: A Gateway to Modern Science and Technology

Numerical Analysis is another fundamental course with a vast range of applications in Physics, Engineering, and Computer Science.

As you can imagine, mastering Numerical Analysis is a “passport” to prestigious job opportunities across various industries and sectors.

What is Numerical Analysis?

Numerical Analysis is the study of algorithms that use numerical approximations (as opposed to general symbolic manipulations) for solving problems of mathematical analysis (distinct from discrete mathematics). It is the bridge between theoretical math and computer implementation.

Core Curriculum & Key Topics

Some of the key chapters covered in this course include:

Root-Finding Methods for Non-linear Equations: Mastering the Newton-Raphson method, the Bisection method, and the Regula Falsi (False Position) method.
Systems of Linear Equations: Solving complex systems using Gauss-Jordan elimination, the Jacobi method, and Successive Over-Relaxation (SOR).
Numerical Integration & Approximation of Differential Equations: Implementing the Euler method, Runge-Kutta methods, and the Adams-Bashforth multistep methods.
Numerical Quadrature: Techniques such as the Trapezoidal rule, Simpson’s rule, and Monte Carlo integration.

Achieve Your Academic Goals

Is Numerical Analysis part of your curriculum, and are you looking to excel in your upcoming exams?

Since 2010, I have helped countless students bridge the gap between theory and algorithmic execution, ensuring they pass their exams with confidence and zero stress.