{"id":19468,"date":"2020-09-13T07:50:23","date_gmt":"2020-09-13T07:50:23","guid":{"rendered":"https:\/\/www.inspirenignite.com\/mh\/btetpe703b-artificial-intelligence-deep-learning-syllabus-for-et-7th-sem-2020-21-dbatu-elective-iv\/"},"modified":"2020-09-13T07:50:23","modified_gmt":"2020-09-13T07:50:23","slug":"btetpe703b-artificial-intelligence-deep-learning-syllabus-for-et-7th-sem-2020-21-dbatu-elective-iv","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/mh\/btetpe703b-artificial-intelligence-deep-learning-syllabus-for-et-7th-sem-2020-21-dbatu-elective-iv\/","title":{"rendered":"BTETPE703B: Artificial Intelligence Deep Learning Syllabus for ET 7th Sem 2020-21 DBATU (Elective-IV)"},"content":{"rendered":"<p align=\"justify\">Artificial Intelligence Deep Learning detailed syllabus scheme for Electronics &amp; Telecommunication Engineering (ET), 2020-21 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 7th Sem Scheme of Electronics &amp; Telecommunication Engineering (ET), 2020-21 Onwards, do visit <a href=\"dbatu-syllabus-for-electronics-telecommunication-engineering-7th-sem-2020-21\">ET 7th Sem Scheme, 2020-21 Onwards<\/a>. For the Elective-IV scheme of 7th Sem 2020-21 onwards, refer to <a href=\"elective-iv-syllabus-scheme-for-electronics-telecommunication-engineering-7th-sem-2020-21-dbatu\">ET 7th Sem Elective-IV Scheme 2020-21 Onwards<\/a>. The detail syllabus for artificial intelligence deep learning is as follows.<\/p>\n<h2 align=\"center\">Artificial Intelligence Deep Learning Syllabus for Electronics &amp; Telecommunication Engineering (ET) 4th Year 7th Sem 2020-21 DBATU<\/h2>\n<p>  <title>Artificial Intelligence Deep learning<\/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<p>  This course will enable students to<\/p>\n<ol>\n<li>Identify the AI based problems.<\/li>\n<li>Apply techniques to solve the AI problems.<\/li>\n<li>Define learning and explain various logic inferences.<\/li>\n<li>Discuss different learning techniques.<\/li>\n<\/ol>\n<h4>UNIT &#8211; 1<\/h4>\n<p>  Introduction: What Is AI? Thinking humanly: The cognitive modeling approach. Thinking rationally: The laws of thought approach, Acting rationally: The rational agent approach. The Foundations of Artificial Intelligence, Mathematics, Economics, Neuroscience, Computer engineering, The History of Artificial Intelligence. AI becomes an industry (1980&#8211; present). Agents and Environments, Good Behaviour: The Concept of Rationality. The Nature of Environments. The Structure of Agents.<\/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>  Game Playing: Games, Optimal Decisions in Games, The minimax algorithm, Optimal decisions in multiplayer games, Alpha Beta Pruning, Move ordering, Imperfect Real-Time Decisions, Cutting off search, Forward pruning, Stochastic Games, Evaluation functions for games of chance, Partially Observable Games, Krieg spiel: Partially observable chess, Card games, State-of-the-Art Game Programs, Alternative Approaches.<\/p>\n<h4>UNIT &#8211; 4<\/h4>\n<p>  Logic and inference: Defining Constraint Satisfaction Problems, Constraint Propagation: Inference in CSPs, Backtracking Search for CSPs, Local Search for CSPs, The Structure of Problems, Knowledge-Based Agents, The Wumpus World, Logic , Propositional Logic: A Very Simple Logic, Propositional Theorem Proving, Effective Propositional Model Checking, Agents Based on Propositional Logic. Forward Chaining, Backward Chaining, Definition of Classical Planning. Algorithms for Planning as State-Space Search, Planning Graphs.<\/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>Text Books:<\/h4>\n<ol>\n<li>Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach. III Edition<\/li>\n<li>E. Rich, K. Knight &amp; S. B. Nair &#8211; Artificial Intelligence, 3\/e, McGraw Hill.<\/li>\n<li>Dan W. Patterson, Introduction to Artificial Intelligence and Expert Systems, Prentice Hal of India.<\/li>\n<li>G. Luger, Artificial Intelligence: Structures and Strategies for complex problem Solving, Fourth Edition, Pearson Education, 2002.<\/li>\n<li>N.P. Padhy Artificial Intelligence and Intelligent Systems , Oxford UniversityPress-2015.<\/li>\n<\/ol>\n<p align=\"justify\">For detail syllabus of all subjects of Electronics &amp; Telecommunication Engineering (ET) 7th Sem 2020-21 onwards, visit <a href=\"..\/category\/dbatu\/7th-sem-dbatu\">ET 7th Sem Subjects <\/a>of 2020-21 Onwards.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial Intelligence Deep Learning detailed syllabus scheme for Electronics &amp; Telecommunication Engineering (ET), 2020-21 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology [&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-19468","post","type-post","status-publish","format-standard","hentry","category-et-dbatu"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/19468","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=19468"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/19468\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/media?parent=19468"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/categories?post=19468"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/tags?post=19468"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}