Numerical and Statistical Methods detailed syllabus for Industrial Technology (Industrial Biotech) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the Industrial Biotech 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 Industrial Technology 6th Sem scheme and its subjects, do visit Industrial Biotech 6th Sem 2019 regulation scheme. For Professional Elective-IV scheme and its subjects refer to Industrial Biotech Professional Elective-IV syllabus scheme. The detailed syllabus of numerical and statistical methods is as follows.
Course Objective:
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Unit I
Root Finding Method, System of Linear Equations and Interpolation
Root finding – Newton Raphson method – Simultaneous linear equations – Direct method – Gauss elimination method – Pivoting – Gauss Jordan method – Iterative methods – Jacobi and Gauss Seidal methods – Difference table – Newton”s forward and backward interpolation – Newton”s divided differences – Lagrangian interpolation.
Unit II
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Unit III
Empirical Statistics
Types of sampling – Description of discrete and continuous data – Measures of Central tendency and dispersion for grouped and ungrouped data – Measures of position – Box and Whisker plot.
Unit IV
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Unit V
Testing of Hypothesis
Sampling distributions – Type I and Type II errors – Tests based on Normal, t, chix2 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:
- Grewal, B.S., “Numerical methods in Engineering and Science, 10th Edition, Khanna Publishers, New Delhi, 2014.
- Gupta S.C. and Kapoor V.K., Fundamentals of Mathematical Statistics, Sultan Chand and Sons, Eleventh Edition (Reprint), 2019.
- Iyengar, S. R. K., Jain, R. K. and Mahinder Kumar Jain, Numerical Methods for Scientific and Engineering Computation, 6th Edition, New Age International Publishers, New Delhi, 2012.
- Miller, I. and Miller, M., John E. Freund”s Mathematical Statistics, Pearson, Eighth Edition, 2013.
References:
- Mann, P.S., Introductory Statistics, John Wiley and Sons. Inc 5th Edition, 2004.
- Miller, I. and Freund, J. E., Probability and Statistics for Engineers, Pearson, Ninth Edition, 2017.
- Montgomery, D.C. and Runger, G.C., Applied Statistics and Probability for Engineers, Wiley Student Edition, 2007.
- Walpole, R.E., Myers R.H., Myres S.L., and Ye, K., Probability ad Statistics for Engineers and Scientists, Pearson Education, Asia, 8thEdiiton, 2007.
For detailed syllabus of all the other subjects of Industrial Technology 6th Sem, visit Industrial Biotech 6th Sem subject syllabuses for 2019 regulation.
For all Industrial Technology results, visit Anna University Industrial Biotech all semester results direct link.