{"id":31883,"date":"2021-05-19T16:59:41","date_gmt":"2021-05-19T16:59:41","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/ei5702-introduction-to-process-data-analytics-syllabus-for-eie-7th-sem-2019-regulation-anna-university\/"},"modified":"2021-05-19T16:59:41","modified_gmt":"2021-05-19T16:59:41","slug":"ei5702-introduction-to-process-data-analytics-syllabus-for-eie-7th-sem-2019-regulation-anna-university","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/ei5702-introduction-to-process-data-analytics-syllabus-for-eie-7th-sem-2019-regulation-anna-university\/","title":{"rendered":"EI5702: Introduction To Process Data Analytics Syllabus for EIE 7th Sem 2019 Regulation Anna University"},"content":{"rendered":"

Introduction To Process Data Analytics detailed syllabus for Electronics & Instrumentation Engineering (EIE) for 2019 regulation curriculum has been taken from the Anna Universities<\/a> 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. <\/p>\n

For Electronics & Instrumentation Engineering 7th Sem scheme and its subjects, do visit EIE 7th Sem 2019 regulation scheme<\/a>. The detailed syllabus of introduction to process data analytics is as follows. <\/p>\n

Introduction to Process Data Analytics<\/title><\/p>\n<h4>Course Objective:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Unit I<\/h4>\n<p align=\"justify\">\n <strong>Introduction<\/strong><br \/>\n 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.\n<\/p>\n<h4>Unit II<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Unit III<\/h4>\n<p align=\"justify\">\n <strong>Linear Model Selection and Regularization<\/strong><br \/>\n 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.\n<\/p>\n<h4>Unit IV<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Unit V<\/h4>\n<p align=\"justify\">\n <strong>Applications<\/strong><br \/>\n 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.\n<\/p>\n<h4>Course Outcome:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Text Books:<\/h4>\n<p align=\"justify\">\n<ol>\n<li>Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, An Introduction to Statistical Learning with Applications in R, Springer Texts in Statistics,2013.<\/li>\n<li>Ethem Alpaydin, Introduction to Machine Learning, MIT Press,2013<\/li>\n<li>Runkler, Data Analytics: Models and Algorithms for Intelligent Data Analysis, Springer Vieweg, 2nd Edition,2016.<\/li>\n<\/ol>\n<h4>Reference Books:<\/h4>\n<p align=\"justify\">\n<ol>\n<li>Arun K. Tangirala, Principles of System Identification – Theory and Practice, CRC Press,2015.<\/li>\n<li>Huang, B. and Shah, S.L., Performance Assessment of Control Loops: Theory and Applications, Springer-Verlag,1999.<\/li>\n<li>Fan Yang, Ping Duan, Sirish L Shah,TongwenChen,Capturing Connectivity and Causality in Complex Industrial Processes, Springer,2014.<\/li>\n<\/ol>\n<p align=\"justify\">For detailed syllabus of all other subjects of Electronics & Instrumentation Engineering, 2019 regulation curriculum do visit <a class=\"rank-math-link\" href=\"..\/category\/eie+7th-sem\">EIE 7th Sem subject syllabuses for 2019 regulation<\/a>. <\/p>\n<p align=\"justify\">For all Electronics & Instrumentation Engineering results, visit <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/anna-university\/anna-university-results\/\">Anna University EIE all semester results<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>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 […]<\/p>\n","protected":false},"author":2297,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[50,75],"tags":[],"class_list":["post-31883","post","type-post","status-publish","format-standard","hentry","category-7th-sem","category-eie"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/31883","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=31883"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/31883\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=31883"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=31883"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=31883"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}