MA3251: Statistics and Numerical Methods Syllabus for Pharmaceutical Technology 2nd Sem 2021 Regulation Anna University

Statistics and Numerical Methods detailed syllabus for Pharmaceutical Technology (Pharmaceutical Technology) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the Pharmaceutical Technology students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Pharmaceutical Technology 2nd Sem scheme and its subjects, do visit Pharmaceutical Technology 2nd Sem 2021 regulation scheme. The detailed syllabus of statistics and numerical methods is as follows.

Course Objective:

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Unit I

TESTING OF HYPOTHESIS
Sampling distributions – Tests for single mean, proportion and 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 II

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Unit III

SOLUTION OF EQUATIONS AND EIGENVALUE PROBLEMS
Solution of algebraic and transcendental equations – Fixed point iteration method – Newton Raphson method- Solution of linear system of equations – Gauss elimination method – Pivoting -Gauss Jordan method – Iterative methods of Gauss Jacobi and Gauss Seidel – Eigenvalues of a matrix by Power method and Jacobi’s method for symmetric matrices.

Unit IV

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Unit V

NUMERICAL SOLUTION OF ORDINARY DIFFERENTIAL EQUATIONS
Single step methods: Taylor’s series method – Euler’s method – Modified Euler’s method – Fourth order Runge-Kutta method for solving first order differential equations – Multi step methods: Milne’s and Adams – Bash forth predictor corrector methods for solving first order differential equations.

Course Outcome:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Text Books:

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

References:

1. Burden, R.L and Faires, J.D, Numerical Analysis, 9th Edition, Cengage Learning, 2016.
2. Devore. J.L., Probability and Statistics for Engineering and the Sciences, Cengage Learning, New Delhi, 8th Edition, 2014.
3. Gerald. C.F. and Wheatley. P.O. Applied Numerical Analysis Pearson Education, Asia, New Delhi, 7th Edition, 2007.
4. Gupta S.C. and Kapoor V. K., Fundamentals of Mathematical Statistics, Sultan Chand and Sons, New Delhi, 12th Edition, 2020.
5. Spiegel. M.R., Schiller. J. and Srinivasan. R.A., Schaum’s Outlines on Probability and Statistics , Tata McGraw Hill Edition, 4th Edition, 2012.
6. Walpole. R.E., Myers. R.H., Myers. S.L. and Ye. K., Probability and Statistics for Engineers and Scientists, 9th Edition, Pearson Education, Asia, 2010.

For detailed syllabus of all other subjects of Pharmaceutical Technology, 2021 regulation curriculum do visit Pharmaceutical Technology 2nd Sem subject syllabuses for 2021 regulation.

For all Pharmaceutical Technology results, visit Anna University Pharmaceutical Technology all semester results direct link.