{"id":19520,"date":"2020-09-13T07:50:47","date_gmt":"2020-09-13T07:50:47","guid":{"rendered":"https:\/\/www.inspirenignite.com\/mh\/btetoe605b-optimization-techniques-syllabus-for-et-6th-sem-2019-20-dbatu-open-elective-i\/"},"modified":"2020-09-13T07:50:47","modified_gmt":"2020-09-13T07:50:47","slug":"btetoe605b-optimization-techniques-syllabus-for-et-6th-sem-2019-20-dbatu-open-elective-i","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/mh\/btetoe605b-optimization-techniques-syllabus-for-et-6th-sem-2019-20-dbatu-open-elective-i\/","title":{"rendered":"BTETOE605B: Optimization Techniques Syllabus for ET 6th Sem 2019-20 DBATU (Open Elective-I)"},"content":{"rendered":"<p align=\"justify\">Optimization Techniques detailed syllabus scheme for Electronics &amp; Telecommunication Engineering (ET), 2019-20 onwards has been taken from the <a href=\"https:\/\/dbatu.ac.in\/syllabus-and-course-structure-for-b-tech-programs\/\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">DBATU<\/a> official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below. <\/p>\n<p align=\"justify\">For 6th Sem Scheme of Electronics &amp; Telecommunication Engineering (ET), 2019-20 Onwards, do visit <a href=\"dbatu-syllabus-for-electronics-telecommunication-engineering-6th-sem-2019-20\">ET 6th Sem Scheme, 2019-20 Onwards<\/a>. For the Open Elective-I scheme of 6th Sem 2019-20 onwards, refer to <a href=\"open-elective-i-syllabus-scheme-for-electronics-telecommunication-engineering-6th-sem-2019-20-dbatu\">ET 6th Sem Open Elective-I Scheme 2019-20 Onwards<\/a>. The detail syllabus for optimization techniques is as follows.<\/p>\n<h2 align=\"center\">Optimization Techniques Syllabus for Electronics &amp; Telecommunication Engineering (ET) 3rd Year 6th Sem 2019-20 DBATU<\/h2>\n<p>  <title>Optimization Techniques<\/title><\/p>\n<h4>Course Objectives:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a 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 pdf platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;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>Course Outcomes:<\/h4>\n<ol>\n<li>After completion of this course students will be able to<\/li>\n<li>Cast engineering minima\/maxima problems into optimization framework<\/li>\n<li>Learn efficient computational procedures to solve optimization problems<\/li>\n<\/ol>\n<h4>UNIT &#8211; 1<\/h4>\n<p>  Introduction and Basic Concepts Historical Development; Engineering applications of Optimization; Art of Modeling, Objective function; Constraints and Constraint surface; Formulation of design problems as mathematical programming problems, Classification of optimization problems, Optimization techniques &#8211; classical and advanced techniques<\/p>\n<h4>UNIT &#8211; 2<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a 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 pdf platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;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 &#8211; 3<\/h4>\n<p>  Linear Programming Standard form of linear programming (LP) problem; Canonical form of LP problem; Assumptions in LP Models; Elementary operations, Graphical method for two variable optimization problem; Examples, Motivation of simplex method, Simplex algorithm and construction of simplex tableau; Simplex criterion; Minimization versus maximization problems, Revised simplex method; Duality in LP; Primal-dual relations; Dual Simplex method; Sensitivity or post optimality analysis, Other algorithms for solving LP problems -Karmarkars projective scaling method<\/p>\n<h4>UNIT &#8211; 4<\/h4>\n<p>  Dynamic Programming Sequential optimization; Representation of multistage decision process; Types of multistage decision problems; Concept of sub optimization and the principle of optimality, Recursive equations &#8211; Forward and backward recursions; Computational procedure in dynamic programming (DP), Discrete versus continuous dynamic programming; Multiple state variables; curse of dimensionality in DP<\/p>\n<h4>UNIT &#8211; 5<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a 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 pdf platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;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 &#8211; 6<\/h4>\n<p>  Advanced Topics in Optimization Piecewise linear approximation of a nonlinear function, Multi objective optimization -Weighted and constrained methods; Multi level optimization, Direct and indirect search methods, Evolutionary algorithms for optimization and search<\/p>\n<h4>Text Books:<\/h4>\n<ol>\n<li>S.S. Rao, &#8220;Engineering Optimization: Theory and Practice&#8221;, New Age International, New Delhi, 2000.<\/li>\n<li>G. Hadley, &#8220;Linear programming&#8221;, Narosa Publishing House, New Delhi, 1990.<\/li>\n<li>H.A. Taha, &#8220;Operations Research: An Introduction&#8221;, 5th Edition, Macmillan, New York, 1992.<\/li>\n<li>K. Deb, &#8220;Optimization for Engineering Design-Algorithms and Examples&#8221;, Prentice-Hall of India Pvt. Ltd., New Delhi, 1995.<\/li>\n<li>K. Srinivasa Raju and D. Nagesh Kumar, &#8220;Multicriterion Analysis in Engineering and Management&#8221;, PHI Learning Pvt. Ltd., New Delhi, India, ISBN 978-81-203-3976-7, pp.288, 2010.<\/li>\n<\/ol>\n<p align=\"justify\">For detail syllabus of all subjects of Electronics &amp; Telecommunication Engineering (ET) 6th Sem 2019-20 onwards, visit <a href=\"..\/category\/dbatu\/6th-sem-dbatu\">ET 6th Sem Subjects <\/a>of 2019-20 Onwards.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Optimization Techniques detailed syllabus scheme for Electronics &amp; Telecommunication Engineering (ET), 2019-20 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For [&hellip;]<\/p>\n","protected":false},"author":2351,"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":[108],"tags":[],"class_list":["post-19520","post","type-post","status-publish","format-standard","hentry","category-et-dbatu"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/19520","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/users\/2351"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/comments?post=19520"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/19520\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/media?parent=19520"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/categories?post=19520"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/tags?post=19520"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}