Computer Oriented Numerical Methods Complete Course

This course is designed for BCA, BSc, and Engineering students who want to learn Numerical Methods from scratch.

Free

This comprehensive course on Numerical Methods covers key computational techniques such as Bisection, Regula Falsi, Newton-Raphson, Gauss Elimination, Trapezoidal, and Simpson’s Rules. It is ideal for BCA, BSc, and Engineering students who want to build a strong foundation in Numerical Analysis and its practical applications.

Videos

Duration

260 min

Progress

Course Progress

0 / 14 completed

Computer Oriented Numerical Methods Complete Course

Course Content

Module 1: Introduction & Overview

Complete introduction to Numerical Methods and their applications.

1 videos

Numerical Analysis (Numerical Method) Complete Study Package

8.09 minutes

Module 2: Numerical Integration Techniques

Learn integration techniques like Trapezoidal and Simpson’s Rule.

2 videos

Trapezoidal Rule Numerical Method in Hindi

27.35 minutes

Simpson's Rule Numerical Method in Hindi

22.5 minutes

Module 3: System of Linear Equations

Solve linear equations using various numerical techniques.

3 videos

Gauss Elimination Method in Numerical Methods in Hindi

20.57 minutes

Gauss Seidel Iteration Method in Numerical Analysis in Hindi

24.55 minutes

Gauss Jordan Elimination Method (Numerical Methods) in Hindi

31.11 minutes

Module 4: Ordinary Differential Equations (ODE)

Learn to solve differential equations numerically using Euler and Runge-Kutta methods.

3 videos

Euler's Method (Numerical Methods) in Hindi

29.31 minutes

Picard Method of Successive Approximations

19.21 minutes

Runge Kutta Method in Hindi | RK4 Order Method Example

15.53 minutes

Module 5: Roots of Equations

Explore numerical methods for finding roots of equations.

5 videos

Bisection Method (Concept)

9.46 minutes

Bisection Method (Working Rule)

11.55 minutes

Bisection Method (Problem)

23.32 minutes

Regula Falsi Method | False Position Method

15.17 minutes

Newton Raphson Method | Numerical Methods

18.41 minutes