Introduction To Process Data Analytics detailed syllabus for Electronics & Instrumentation Engineering (EIE) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the EIE 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 Electronics & Instrumentation Engineering 7th Sem scheme and its subjects, do visit EIE 7th Sem 2019 regulation scheme. The detailed syllabus of introduction to process data analytics is as follows.
Course Objective:
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Unit I
Introduction
Introduction to Process data analytics and Statistical learning – Review of Linear Algebra Concepts – Review of Probability and Statistics – Design of experiments – Industrial case studies on factorial experiments.
Unit II
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Unit III
Linear Model Selection and Regularization
Subset Selection: – Best Subset Selection, Step-wise Selection and Choosing the Optimal Model – Shrinkage Methods: – LASSO, Ridge regression, Elastic nets – Dimension reduction Methods:- Principal Components Regression, Partial Least Squares.
Unit IV
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Unit V
Applications
Process data analysis for system identification (under open and closed loops) – Controller Performance Monitoring – Principal components analysis (PCA) for Process Monitoring and Partial Least Squares (PLS) for soft-sensor design – Data-based causality analysis for identification of process topology.
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:
- Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, An Introduction to Statistical Learning with Applications in R, Springer Texts in Statistics,2013.
- Ethem Alpaydin, Introduction to Machine Learning, MIT Press,2013
- Runkler, Data Analytics: Models and Algorithms for Intelligent Data Analysis, Springer Vieweg, 2nd Edition,2016.
Reference Books:
- Arun K. Tangirala, Principles of System Identification – Theory and Practice, CRC Press,2015.
- Huang, B. and Shah, S.L., Performance Assessment of Control Loops: Theory and Applications, Springer-Verlag,1999.
- Fan Yang, Ping Duan, Sirish L Shah,TongwenChen,Capturing Connectivity and Causality in Complex Industrial Processes, Springer,2014.
For detailed syllabus of all other subjects of Electronics & Instrumentation Engineering, 2019 regulation curriculum do visit EIE 7th Sem subject syllabuses for 2019 regulation.
For all Electronics & Instrumentation Engineering results, visit Anna University EIE all semester results direct link.