Introduction:
The Computational Methods Lab in engineering courses is designed to equip students with the practical knowledge and skills required to solve complex engineering problems using computational tools and numerical techniques. In modern engineering, analytical solutions to many real-world problems are often impractical or impossible due to the complexity of the systems involved. As a result, computational methods provide a vital approach to solving these problems by approximating solutions using computers and numerical algorithms.
Course Objectives:
- To understand numerical methods to find roots of functions and first order unconstrained minimization of functions.
- To introduce concept of interpolation methods and numerical integration.
- To understand numerical methods to solve systems of algebraic equations and curve fitting by splines.
- To understand numerical methods for the solution of Ordinary and partial differential equations.
Course Outcomes:
CO1: Ability to develop mathematical models of low-level engineering problems.
CO2: Ability to apply interpolation methods and numerical integration.
CO3: Ability to solve simultaneous linear equations and curve fitting by splines.
CO4: Ability to numerically solve ordinary differential equations that are initial value or boundary value problems.
Facility used:
- Hardware facilities: 18 Desktops with 16 GB RAM of i5 processors, 1 Printer, 1 Whiteboard.
- Software facilities: Code Blocks Simulation Tool
Lab In-charge: Dr. Rajiv K. Nehra
Lab Assistant: Mrs. Deepa Bhatia