Statistics and Numerical Methods Syllabus for B.Tech 4th sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.
The detailed syllabus for Statistics and Numerical Methods B.Tech (R13) fourthsem is as follows
OBJECTIVES:
- This course aims at providing the necessary basic concepts of a few statistical and numerical methods and give procedures for solving numerically different kinds of problems occurring in engineering and technology.
UNIT I : TESTING OF HYPOTHESIS [9+3 hours]
Large sample test based on Normal distribution for single mean and difference of means – Tests based on t, 2 and F distributions for testing means and variances – Contingency table (Test for Independency) – Goodness of fit.
UNIT II : DESIGN OF EXPERIMENTS [9+3 hours]
One way and two way classifications – Completely randomized design – Randomized block design – Latin square design – 22 factorial design.
UNIT III : SOLUTION OF EQUATIONS AND EIGENVALUE PROBLEMS [9+3 hours]
Newton Raphson method – Gauss elimination method – pivoting – Gauss Jordan methods – Iterative methods of Gauss Jacobi and Gauss Seidel – Matrix inversion by Gauss Jordan method – Eigen values of a matrix by power method.
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TOTAL (L:45+T:15): 60 PERIODS
OUTCOMES
- It helps the students to have a clear perception of the power of statistical and numerical techniques, ideas and would be able to demonstrate the applications of these techniques to problems drawn from industry, management and other engineering fields.
TEXT BOOKS
- Johnson. R.A., and Gupta. C.B., “Miller and Freund‟s Probability and Statistics for Engineers”, 11th Edition, Pearson Education, , Asia, 2011.
- Grewal. B.S., and Grewal. J.S., “Numerical Methods in Engineering and Science”, 9th Edition, Khanna Publishers, New Delhi, 2007.
REFERENCES
- Walpole. R.E., Myers. R.H., Myers. S.L., and Ye. K., “Probability and Statistics for Engineers and Scientists”, 8th Edition, Pearson Education, Asia, 2007.
- Spiegel. M.R., Schiller. J., and Srinivasan. R.A., “Schaum‟s Outlines on Probability and Statistics”, Tata McGraw Hill Edition, 2004.
- Chapra. S.C., and Canale. R.P, “Numerical Methods for Engineers”, 5th Edition, Tata McGraw Hill, New Delhi, 2007.
- Gerald. C.F., and Wheatley. P.O. “Applied Numerical Analysis” Pearson Education, Asia, New Delhi, 2006.
For all other B.Tech ME 4th sem syllabus go to Anna University B.Tech Mechanical Engineering (ME) 4th Sem Course Structure for (R13) Batch.All details and yearly new syllabus will be updated here time to time. Subscribe, like us on facebook and follow us on google plus for all updates.
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