Advanced Statistics and Data Analytics detailed syllabus for Mechanical & Automation Engineering (MAE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the MAE 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 & Automation Engineering 5th Sem scheme and its subjects, do visit MAE 5th Sem 2021 regulation scheme. For Professional Elective-III scheme and its subjects refer to MAE Professional Elective-III syllabus scheme. The detailed syllabus of advanced statistics and data analytics is as follows.
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
EXPLORATORY DATA ANALYSIS 9
Rise of statistics, Data Wrangling, Data Quality. Visual encoding – Mapping Data to Visual Variables, Encoding Effectiveness, Scales & Axes, Aspect Ratio, Regression Lines, Multidimensional Data, Parallel Coordinates, Dimensionality Reduction.
Unit III
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Unit IV
FORECASTING AND CAUSAL MODELS 9
Moving average, Exponential Smoothing, Casual Models.
Unit V
TIME SERIES ANALYSIS 9
Auto regression (AR), Moving Average(MA) Models, ARMA, ARIMA models , Multivariate Models
Course Outcomes:
At the end of the course the students would be able to
- Develop how to do regression fit for the given data.
- Visualize the data through explanatory data analysis
- Classify the given data through logistic regression
- Analyzing forecasting techniques and causal inferences.
- Utilize the effective time series analysis to predict/forecast the future behavior of data.
Text Books:
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Reference Books:
- David Forsyth, ‘Probability and Statistics for Computer Science’, Springer; 2018
- Michael J. Evans, Jeffrey S. Rosenthal, ‘Probability and Statistics – The Science of Uncertainty’. W H Freeman & Co, 2010
- Max Kuhn, Kjell Johnson, “Applied Predictive Modeling”, Springer, 2014.
- Ronald E. Walpole, Raymond H. Meyers, Sharon L. Meyers, “Probability and Statistics for Engineers and Scientists”, Pearson Education, 2014.
- Daniel T. Larose, Chantal D. Larose “Data Mining and Predictive Analytics”, Wiley,2015
- 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 & Automation Engineering 5th Sem, visit MAE 5th Sem subject syllabuses for 2021 regulation.
For all Mechanical & Automation Engineering results, visit Anna University MAE all semester results direct link.