{"id":19405,"date":"2019-12-10T05:48:14","date_gmt":"2019-12-10T05:48:14","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/pattern-recognition-and-artificial-intelligence-med-ele-7th-sem-syllabus-for-be-2017-regulation-anna-univ\/"},"modified":"2019-12-10T05:48:14","modified_gmt":"2019-12-10T05:48:14","slug":"pattern-recognition-and-artificial-intelligence-med-ele-7th-sem-syllabus-for-be-2017-regulation-anna-univ","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/pattern-recognition-and-artificial-intelligence-med-ele-7th-sem-syllabus-for-be-2017-regulation-anna-univ\/","title":{"rendered":"Pattern Recognition and Artificial Intelligence Med Ele 7th Sem Syllabus for BE 2017 Regulation Anna Univ"},"content":{"rendered":"<p>Pattern Recognition and Artificial Intelligence detail syllabus for Medical Electronics (Med Ele), 2017 regulation is taken from <a href=\"https:\/\/www.annauniv.edu\/\" target=\"_blank\" rel=\"noopener\">Anna University<\/a> official website and presented for students of Anna University. The details of the course are: course code (MD8701), Category (PC), Contact Periods\/week (3), Teaching hours\/week (3), Practical Hours\/week (0). The total course credits are given in combined syllabus.<\/p>\n<p>For all other med ele 7th sem syllabus for be 2017 regulation anna univ you can visit <a href=\"..\/med-ele-7th-sem-syllabus-for-be-2017-regulation-anna-univ\">Med Ele 7th Sem syllabus for BE 2017 regulation Anna Univ Subjects<\/a>. The detail syllabus for pattern recognition and artificial intelligence is as follows.&#8221;<\/p>\n<p><h4>Course Objective:<\/h4>\n<p>The student should be made to:<\/p>\n<ul>\n<li>Understand the pattern recognition system and its types.<\/li>\n<li>Be familiar with the statistical and syntactic approach<\/li>\n<li>Understand the different knowledge representation schemes for AI problems.<\/li>\n<li>Explore different search strategies for a problem.<\/li>\n<\/ul>\n<p><h4>Unit I<\/h4>\n<p>For complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<p><h4>Unit II<\/h4>\n<p><strong> Statistical Pattern Recognition<\/strong><br \/>\nParametric estimation and supervised learning, Maximum likelihood estimation, Bayesian parameter estimation, Non-parametric approaches &#8211; Parzen window, k-NN estimation, Unsupervised Learning &#8211; Clustering Concepts.\n<\/p>\n<p><h4>Unit III<\/h4>\n<p><strong> Syntactic Pattern Recognition<\/strong><br \/>\nGrammar Based Approaches, Elements of Formal Grammars, Parsing Concepts &#8211; Parsing Algorithm, Transition Networks in Parsing, Higher Dimensional Grammars, Stochastic Grammars, Graphical Approaches &#8211; Graph Isomorphism, Attributed Graphs.\n<\/p>\n<p><h4>Unit IV<\/h4>\n<p>For complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<p><h4>Unit V<\/h4>\n<p><strong> Expert Systems<\/strong><br \/>\nComponents of Expert Systems, Production rules, Backwards vs Forward reasoning, Statistical reasoning, Meta level knowledge, Introspection, Knowledge engineering case studies, Heuristic search of state space, DFS, BFS, UCS, choice of a search algorithm, Admissibility theorems, search performance metrics, AI programming environments. AI oriented language and architecture.\n<\/p>\n<p><h4>Course Outcome:<\/h4>\n<p>Upon successful completion of the course, the student should be able to:<\/p>\n<ul>\n<li>Describe the different Types of Pattern Recognition.<\/li>\n<li>Implement statistical and syntactic approach of pattern recognition.<\/li>\n<li>Apply heuristic concepts to develop intelligent system<\/li>\n<\/ul>\n<p><h4>Text Books:<\/h4>\n<ol>\n<li>Robert Schalkoff, Pattern Recognition: Statistical Structural and Neural Approaches,Wiley &#8211; India, 2009<\/li>\n<li>Artificial Intelligence: A new synthesis, Nils J Nilsson, Morgan Kaufmann Publishers.<\/li>\n<\/ol>\n<p><h4>References:<\/h4>\n<ol>\n<li>R.O.Duda, P.E.Hart and D.G.Stork, Pattern Classification, John Wiley, 2001.<\/li>\n<li>Artificial Intelligence, 2nd ed., Rich, Tata McGraw Hill.<\/li>\n<li>Artificial Intelligence, R.B. Mishra, PHI, India, 2010.<\/li>\n<\/li>\n<\/ol>\n<p>For detail syllabus of all other subjects of BE Med Ele, 2017 regulation do visit <a href=\"..\/category\/med-ele+7th-sem\">Med Ele 7th Sem syllabus for 2017 Regulation<\/a>.<\/p>\n<p>Dont forget to <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a> for latest syllabus and results, class timetable and more.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Pattern Recognition and Artificial Intelligence detail syllabus for Medical Electronics (Med Ele), 2017 regulation is taken from Anna University official website and presented for students of Anna University. The details [&hellip;]<\/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":[50,73],"tags":[],"class_list":["post-19405","post","type-post","status-publish","format-standard","hentry","category-7th-sem","category-med-ele"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/19405","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=19405"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/19405\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=19405"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=19405"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=19405"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}