{"id":18706,"date":"2020-09-11T15:13:03","date_gmt":"2020-09-11T15:13:03","guid":{"rendered":"https:\/\/www.inspirenignite.com\/mh\/it702de-01-artificial-intelligence-syllabus-for-it-7th-sem-2020-21-dbatu-elective-vii\/"},"modified":"2020-09-11T15:13:03","modified_gmt":"2020-09-11T15:13:03","slug":"it702de-01-artificial-intelligence-syllabus-for-it-7th-sem-2020-21-dbatu-elective-vii","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/mh\/it702de-01-artificial-intelligence-syllabus-for-it-7th-sem-2020-21-dbatu-elective-vii\/","title":{"rendered":"IT702DE-01: Artificial Intelligence Syllabus for IT 7th Sem 2020-21 DBATU (Elective-VII)"},"content":{"rendered":"

Artificial Intelligence detailed syllabus scheme for Information Technology (IT), 2020-21 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 7th Sem Scheme of Information Technology (IT), 2020-21 Onwards, do visit IT 7th Sem Scheme, 2020-21 Onwards<\/a>. For the Elective-VII scheme of 7th Sem 2020-21 onwards, refer to IT 7th Sem Elective-VII Scheme 2020-21 Onwards<\/a>. The detail syllabus for artificial intelligence is as follows.<\/p>\n

Artificial Intelligence Syllabus for Information Technology (IT) 4th Year 7th Sem 2020-21 DBATU<\/h2>\n

Artificial Intelligence<\/title><\/p>\n<h4>Course 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>Course Objectives:<\/h4>\n<ol>\n<li>To acquaint the students with the theoretical and computational techniques in Artificial Intelligence.<\/li>\n<li>To use various symbolic knowledge representation to specify domains and reasoning tasks of a situated software agent.<\/li>\n<li>To use different logical systems for inference over formal domain representations, and trace how a particular inference algorithm works on a given problem specification.<\/li>\n<li>To understand the conceptual and computational trade-offs between the expressiveness of different formal representations.<\/li>\n<\/ol>\n<h4>Unit I<\/h4>\n<p> Introduction: Overview of Artificial intelligence- Problems of AI, AI technique, Tic – Tac – Toe problem. Intelligent Agents: Agents and environment, nature of environment, structure of agents, goal based agents, utility based agents, learning agents.<\/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 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 III<\/h4>\n<p> Heuristic search strategies: Greedy best-first search, A* search, memory bounded heuristic search: local search algorithms and optimization problems: Hill climbing search, simulated annealing search, local beam search, genetic algorithms; constraint satisfaction problems, local search for constraint satisfaction problems.<br \/>\n Adversarial search: Games, optimal decisions and strategies in games, the minimax search procedure, alpha-beta pruning, additional refinements, iterative deepening.<\/p>\n<h4>Unit IV<\/h4>\n<p> Knowledge and reasoning: Knowledge representation issues, representation and mapping, approaches to knowledge representation, issues in knowledge representation.<br \/>\n Representing knowledge using rules: Procedural verses declarative knowledge, logic programming, forward verses backward reasoning, matching, control knowledge.<\/p>\n<h4>Unit V<\/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 VI<\/h4>\n<p> Natural Language processing: Introduction, Syntactic processing, semantic analysis, discourse and pragmatic processing. Learning: Forms of learning, inductive learning, learning decision trees, explanation based learning, learning using relevance information, neural net learning and genetic learning.<br \/>\n Expert Systems: Representing and using domain knowledge, expert system shells, and knowledge acquisition.<\/p>\n<h4>Text Books:<\/h4>\n<ol>\n<li>Rich, E. and Knight, K., ArtificialIntelligence , Tata McGraw- Hill.<\/li>\n<li>Russell, S. and Norvig, P., ArtificialIntelligence: A Modern Approach , Pearson Education.<\/li>\n<li>Patterson, Dan W. , Introduction to Artificial Intelligence and Expert Systems, Patterson, PHI, 2005<\/li>\n<\/ol>\n<h4>Reference Book:<\/h4>\n<ol>\n<li>Nilsson, N. J., Artificial Intelligence: A New Synthesis , Morgan Kaufmann.<\/li>\n<\/ol>\n<p align=\"justify\">For detail syllabus of all subjects of Information Technology (IT) 7th Sem 2020-21 onwards, visit <a href=\"..\/category\/dbatu\/7th-sem-dbatu\">IT 7th Sem Subjects <\/a>of 2020-21 Onwards.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial Intelligence detailed syllabus scheme for Information Technology (IT), 2020-21 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, […]<\/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":[109],"tags":[],"class_list":["post-18706","post","type-post","status-publish","format-standard","hentry","category-it-dbatu"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/18706","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=18706"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/18706\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/media?parent=18706"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/categories?post=18706"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/tags?post=18706"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}