{"id":17184,"date":"2020-09-09T08:32:39","date_gmt":"2020-09-09T08:32:39","guid":{"rendered":"https:\/\/www.inspirenignite.com\/mh\/ce702-artificial-intelligence-syllabus-for-ce-7th-sem-2017-18-dbatu\/"},"modified":"2020-09-09T08:32:39","modified_gmt":"2020-09-09T08:32:39","slug":"ce702-artificial-intelligence-syllabus-for-ce-7th-sem-2017-18-dbatu","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/mh\/ce702-artificial-intelligence-syllabus-for-ce-7th-sem-2017-18-dbatu\/","title":{"rendered":"CE702: Artificial Intelligence Syllabus for CE 7th Sem 2017-18 DBATU"},"content":{"rendered":"

Artificial Intelligence detailed syllabus scheme for B.Tech Computer Engineering (CE), 2017-18 onwards has been taken from the 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

For all other DBATU Syllabus for Computer Engineering 7th Sem 2017-18, do visit CE 7th Sem 2017-18 Onwards Scheme<\/a>. The detailed syllabus scheme for artificial intelligence is as follows.<\/p>\n

Artificial Intelligence Syllabus for Computer Engineering (CE) 4th Year 7th Sem 2017-18 DBATU<\/h2>\n

Artificial Intelligence<\/title><\/p>\n<h4>Course Objectives and Outcomes:<\/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’s lives easier.<\/b><br \/><a 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> Introduction: Definition of A.I, Foundation of A.I., History, intelligent Agents, Agent Architecture, A.I. A.I. Representation, Properties of internal representation, Futures of A.I, A.I Techniques, Importance of A.I – Representation of Knowledge, Knowledge Base Systems, State Space Search -Production Systems – Problem Characteristics.<\/p>\n<h4>Unit II<\/h4>\n<p> Heuristics Search Techniques: Generate and test – Hill Climbing, Depth First Search, Breadth First Search, Best First Search, A* and AO* Algorithm, Problem reduction – Constraint satisfaction -Means-Ends Analysis. Game playing – Minimax and Alpha-Beta Cutoffs, waiting for Quiescence, Secondary search.<\/p>\n<h4>Unit III<\/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’s lives easier.<\/b><br \/><a 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 IV<\/h4>\n<p> Structured Knowledge Representation: TMS (Truth maintenance system),Statistical and probabilistic reasoning, Associative Networks, Semantic Nets, Frames Structures, Conceptual Dependencies and Scripts Learning – Concept of Learning – Learning Automata, Genetic Algorithm, Learning by induction, Planning: Block world, strips, Implementation using goal stack, Non linear planning with goal stacks, Hierarchical planning, least commitment strategy.<\/p>\n<h4>Unit V<\/h4>\n<p> Natural Language Processing: Overview of Linguistics, Grammars and Languages, basic Parsing techniques, Semantic analysis and representation structures. Natural Language generation and Natural Language Systems. Syntactic Processing, ATN, RTN.<\/p>\n<h4>Unit VI<\/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’s lives easier.<\/b><br \/><a 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<ol>\n<li>Eugene, Charniak, Drew Mcdermott, “Introduction to artificial intelligence”, Addison Wesley, 1985.<\/li>\n<li>Eiaine Rich and Kerin Knight, “Artificial Intelligence”, McGraw-Hill, Second Edition.<\/li>\n<li>Anindita Das Bhattacharjee, Artificial Intelligence and Soft Computing for Beginners, 2nd Edition, SPD Publication.<\/li>\n<\/ol>\n<h4>Reference Book:<\/h4>\n<ol>\n<li>Stuart Russell and Peter Nerving, “Artificial Intelligence: A Modern Approach”, Prentice Hall, 2nd Edition.<\/li>\n<li>Ivan Bratko, “Prolog Programming For Artificial Intelligence”, 2nd Edition Addison Wesley, 1990.<\/li>\n<li>Herbert A. Simon, “The Sciences of the Artificial “, MIT Press, 3rd Edition (2nd Printing), 1995.<\/li>\n<li>Tim Jones, “Artificial Intelligence Application Programming”, Dreamtech Publication.<\/li>\n<\/ol>\n<p align=\"justify\">For detail syllabus of all other subjects of Computer Engineering (CE) 7th Sem 2017-18 regulation, visit <a href=\"..\/category\/dbatu\/7th-sem-dbatu\">CE 7th Sem Subjects<\/a> syllabus for 2017-18 regulation.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial Intelligence detailed syllabus scheme for B.Tech Computer Engineering (CE), 2017-18 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject […]<\/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":[99,105],"tags":[],"class_list":["post-17184","post","type-post","status-publish","format-standard","hentry","category-7th-sem-dbatu","category-ce-dbatu"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/17184","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=17184"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/17184\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/media?parent=17184"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/categories?post=17184"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/tags?post=17184"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}