MECH

CME371: Advanced Statistics and Data Analytics syllabus for Mech 2021 regulation (Professional Elective-VII)

Advanced Statistics and Data Analytics detailed syllabus for Mechanical Engineering (Mech) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the Mech 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 Mechanical Engineering 6th Sem scheme and its subjects, do visit Mech 6th Sem 2021 regulation scheme. For Professional Elective-VII scheme and its subjects refer to Mech Professional Elective-VII syllabus scheme. The detailed syllabus of advanced statistics and data analytics is as follows.

Advanced Statistics and Data Analytics

Course Objectives:

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Unit I

REGRESSION 9 Introduction – Linear regression – Correlation analysis -Limitations, errors, and caveats of using regression and correlation analyses – Multiple regression and correlation analysis – Inferences about population parameters – Modeling techniques. – Coefficient of determination, Interpretation of regression coefficients, Categorical variables, heteroscedasticity, Multi-co linearity outliers, Ridge regression.

Unit II

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Unit III

LOGISTIC AND MULTINOMIAL REGRESSION 9 Logistic function, Estimation of probability using Logistic regression, Variance, Wald Test, Hosmer Lemshow Test, Classification Table, Gini Co-efficient.

Unit IV

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Unit V

TIME SERIES ANALYSIS 9 Auto regression (AR), Moving Average(MA) Models, ARMA, ARIMA models , Multivariate Models TOTAL 45 PERIODS

Course Outcomes:

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Text Books:

  1. Douglas C Montgomery and George C Runges, Applied Statistics and Probability for Engineers, John Wiley &Sons, 2014.
  2. Douglas C. Montgomery, Cheryl L. Jennings, Murat Kulachi, Introduction to Time Series Analysis and Forecasting ,Wiley,2015

Reference Books:

  1. David Forsyth, Probability and Statistics for Computer Science, Springer; 2018
  2. Michael J. Evans, Jeffrey S. Rosenthal, Probability and Statistics – The Science of Uncertainty. W H Freeman & Co, 2010
  3. Max Kuhn, Kjell Johnson, Applied Predictive Modeling, Springer, 2014.
  4. Ronald E. Walpole, Raymond H. Meyers, Sharon L. Meyers, Probability and Statistics for Engineers and Scientists, Pearson Education, 2014.
  5. Daniel T. Larose, Chantal D. Larose Data Mining and Predictive Analytics, Wiley,2015
  6. Thomas W.Miller, Modeling Techniques in Predictive Analytics with Python and R: A guide to Data Science, Pearson Education, 2014.

For detailed syllabus of all the other subjects of Mechanical Engineering 6th Sem, visit Mech 6th Sem subject syllabuses for 2021 regulation.

For all Mechanical Engineering results, visit Anna University Mech all semester results direct link.

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