ME – 321 E      PRACTICAL TRAINING – I

    At the end of fourth semester each student would  undergo six weeks Practical Training in an industry/ Professional organization / Research Laboratory with the prior approval of the Director-Principal/ Principal of the concerned college and submit a written typed report along with  a certificate from the organization. The report will be a evaluated during V Semester by a Board of Examiners to be appointed by the Director-Principal/ Principal of the concerned college who will award one of the following grades:

Excellent        :     A
Good            :    B
Satisfactory        :    C
Not satisfactory        :    F

    A student who has been awarded ‘F’ grade will be required to repeat the practical training.

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ME- 319 E  APPLIED NUMERICAL TECHNIQUES AND COMPUTING LAB.

Sessional marks   :      25
Practical marks     :     25

The students will be required to carry out the following exercises, that are based on the theory course ME-311 Numerical Methods and Computing, with the help of MATLAB software / Pascal / C / C++  on personal computer.

1. Solution of Non-linear equation in single variable using the method of successive bisection.
2. Solution of Non-Linear equation in single variable using the Newton Raphson, Secant, Bi – Section and  Modified Euler’s,  method.
3. Solution of a system of simultaneous algebraic equations using the Gaussian elimination procedure.
4. Solution of a system of simultaneous algebraic equations using the Gauss-Seidel iterative method.
5. Solution of a system of simultaneous algebraic equations using the Gauss-Seidel iterative method employing the technique of successive relaxation.
6. Numerical solution of an ordinary differential equation using the Euler’s method.
7. Numerical solution of an ordinary differential equation using the Runge – Kutta 4th order method.
8. Numerical solution of an ordinary differential equation using the Predictor – corrector method.
9. Numerical solution of a system of two ordinary differential equation using Numerical integration.
10. Numerical solution of an elliptic boundary value problem using the method of Finite Differences.

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