This course is focused on engineering mathematics. After completing the tutorial, you will be able to understand the basic advantageous knowledge of numerical analysis techniques. Certain bonus lectures are also included.

This course introduces students to a range of powerful numerical methods and approximation techniques that are essential for solving complex engineering problems. Through a combination of theoretical understanding and practical application, students will gain the necessary skills to analyze, model, and solve mathematical problems encountered in various engineering disciplines. The course focuses on four key numerical methods: the Newton-Raphson method, the Secant method, the bisection method, and numerical integration techniques such as the trapezoidal rule and Simpson's rule.

Course Topics:

1. Introduction to Numerical Methods: Importance and Applications in Engineering.

2. Newton-Raphson Method: Derivation, convergence analysis, and implementation.

3. Secant Method: Advantages, convergence, and application in solving nonlinear equations.

4. Bisection Method: Algorithm, convergence, and root-finding applications.

5. Numerical Integration Techniques: Trapezoidal rule and Simpson's rule, error analysis, and practical implementation.

6. Applications in Engineering: Solving engineering problems involving nonlinear equations and definite integrals.

By the end of this course, students will have developed a strong understanding of numerical methods and approximation techniques, enabling them to confidently apply these tools to solve complex engineering problems. They will also have gained valuable experience in implementing these methods using computational tools, enhancing their problem-solving and critical thinking skills.

Note: The audio and video quality of this course may not meet the standards of modern production due to its age. However, we kindly request students to bear with any limitations in these aspects and focus on the valuable content and knowledge that this course has to offer.