Subject Details
Dept     : MCT
Sem      : 4
Regul    : 2023
Faculty : R . MAREESWARI
phone  : 7904785478
E-mail  : mareeswari.r.math@snsce.ac.in
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Syllabus

UNIT
1
PROBABILITY AND RANDOM VARIABLES

Probability-Axioms of probability –-Discrete and continuous random variables – Moment generating functions – Binomial distribution – Poisson distribution– Uniform distribution –Exponential distribution– Normal distribution

UNIT
2
TESTING OF HYPOTHESIS

Sampling distributions – Statistical hypothesis – Tests for single mean, proportion, Difference of means (large and small samples) – Tests for single variance and equality of variances – Chi square test for goodness of fit-Independence of attributes.

UNIT
3
DESIGN OF EXPERIMENTS

Completely randomized design – Randomized block design – Latin square design-22 factorial design

UNIT
4
SOLUTIONS TO ALGEBRAIC SYSTEMS AND NUMERICAL INTEGRATION 12

Newton Raphson method – Pivoting Gauss Jordan methods – Iterative method of Gauss – Seidal – Matrix Inversion by Gauss – Jordan method -Numerical integration using Trapezoidal and Simpson’s 1/3rd rule.

UNIT
5
NUMERICAL SOLUTION OF ORDINARY DIFFERENTIAL EQUATIONS

Single step methods: Taylor’s series method– Modified Euler’s Method – Fourth order Runge-Kutta method for solving first order equations – Multi step methods: Milne’s and Adams -Bash forth predictor-corrector methods for solving first order equations.

Reference Book:

Spiegel,M.R., Schiller, J. and Srinivasan,R.A., "Schaum’s Outlines Probabilty and Statistics”, Tata McGraw Hill edition, 3rd Edition, 2011 Chapra, S.C and Canale, R.P. “Numerical Methods for Engineers”, 6th Edition, Tata McGraw Hill Edition, 2014 Gerald, C.F. and Wheatley, P.O. “Applied Numerical Analysis”, 8th Edition, Pearson Education, Asia, New Delhi, 2014. Johnson, R.A., Miller, I and Freund, J., “Miller and Freund’s Probability and Statistics for Engineers”, Pearson Education, Asia, 8th Edition, 2015. Burden, R.L and Faires, J.D, "Numerical Analysis”, 9th Edition, Cengage Learning, 2016. Devore. J.L., “Probability and Statistics for Engineering and the Sciences”, Cengage Learning, New Delhi, 8th Edition, 2014

Text Book:

Johnson, R.A., Miller, I and Freund J., “Miller and Freund’s Probability and Statistics for Engineers", Pearson Education, Asia, 8th Edition, 2015. Grewal. B.S. and Grewal. J.S., “Numerical Methods in Engineering and Science ", 10th Edition, Khanna Publishers, New Delhi, 2015 REFERENCES