MA5352: Numerical and Statistical Methods Syllabus for MNG 3rd Sem 2019 Regulation Anna University

Numerical and Statistical Methods detailed syllabus for Mining Engineering (MNG) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the MNG 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 Mining Engineering 3rd Sem scheme and its subjects, do visit MNG 3rd Sem 2019 regulation scheme. The detailed syllabus of numerical and statistical methods is as follows.

Course Objective:

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Unit I

Root Finding Method and System of Linear Equations
Root finding – Newton Raphson method – Simultaneous linear equations – Direct methods – Gauss elimination and Gauss Jordan methods – Iterative methods – Jacobi and Gauss Seidal methods

Unit II

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Unit III

IVp for Differential Equations
Taylor Series and Euler methods, Fourth order Runge-Kutta method for First order Differential Equations – Predictor-corrector method – Milne and Adam-Bashforth methods

Unit IV

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Unit V

Testing of Hypothesis
Sampling distributions – Type I and Type II errors – Tests based on Normal, t, D2 and F distributions for testing of mean, variance and proportions – Tests for Independence of attributes and Goodness of fit.

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.
.

Text Books:

1. Devore, J.L. “Probability and Statistics for Engineering and the Sciences”, Cengage Learning, 9th Edition, Boston, 2017.
2. Grewal, B. S., “Numerical Methods in Engineering and Science”, Khanna Publishers, 11th Edition, New Delhi, 2013.
3. Miller, I. and Miller, M., “John E. Freund”s Mathematical Statistics”, Pearson, Eighth Edition, Harlow, 2013.

References:

1. Chapra, S. C. and Canale, R. P., “Numerical methods for Engineers”, McGraw-Hill Higher Education, 7th Edition, New York, 2014.
2. Johnson R.A., “Miller and Freund”s Probability and Statistics for Engineers”, PHI Learning Pvt. Ltd., 8th Edition, New Delhi, 2011.
3. Walpole, R.E., Myers R.H., Myres S.L., and Ye, K., “Probability ad Statistics for Engineers and Scientists”, Pearson Education 9th Edition, New Delhi, 2011.
4. Woodford, C and Phillips, C., “Numerical Methods with Worked Examples: Matlab”, Springer, Dordrecht, 2012.

For detailed syllabus of all other subjects of Mining Engineering, 2019 regulation curriculum do visit MNG 3rd Sem subject syllabuses for 2019 regulation.

For all Mining Engineering results, visit Anna University MNG all semester results direct link.