{"id":5802,"date":"2018-01-24T09:12:03","date_gmt":"2018-01-24T09:12:03","guid":{"rendered":"http:\/\/www.inspirenignite.com\/jntuh\/?p=5802"},"modified":"2019-07-15T10:02:58","modified_gmt":"2019-07-15T10:02:58","slug":"jntuh-b-tech-2016-2017-r16-detailed-syllabus-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/jntuh\/jntuh-b-tech-2016-2017-r16-detailed-syllabus-artificial-intelligence\/","title":{"rendered":"JNTUH B.Tech 2016-2017 (R16) Detailed Syllabus Artificial Intelligence"},"content":{"rendered":"<p>Artificial Intelligence Detailed Syllabus for B.Tech third year second sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.<\/p>\n<p>The detailed syllabus for Artificial Intelligence B.Tech 2016-2017 (R16) third year second sem is as follows.<\/p>\n<p>B.Tech. III Year II Sem. \u00a0 \u00a0 \u00a0 \u00a0L\/T\/P\/C<br \/>\nCourse Code:CS613PE \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 3\/0\/0\/3<\/p>\n<p><strong>Course Objectives:<\/strong><\/p>\n<ul>\n<li>To learn the difference between optimal reasoning vs human like reasoning<\/li>\n<li>To understand the notions of state space representation, exhaustive search, heuristic\u00a0search along with the time and space complexities<\/li>\n<li>To learn different knowledge representation techniques<\/li>\n<li>To understand the applications of AI: namely Game Playing, Theorem Proving,\u00a0Expert Systems, Machine Learning and Natural Language Processing<\/li>\n<\/ul>\n<p><strong>Course Outcomes:<\/strong><\/p>\n<ul>\n<li>Possess the ability to formulate an efficient problem space for a problem expressed in\u00a0English.<\/li>\n<li>Possess the ability to select a search algorithm for a problem and characterize its time\u00a0and space complexities.<\/li>\n<li>Possess the skill for representing knowledge using the appropriate technique<\/li>\n<li>Possess the ability to apply AI techniques to solve problems of Game Playing, Expert\u00a0Systems, Machine Learning and Natural Language Processing<\/li>\n<\/ul>\n<p><strong>UNIT &#8211; I:\u00a0<\/strong>Introduction, History, Intelligent Systems, Foundations of AI, Sub areas of AI, Applications.\u00a0Problem Solving &#8211; State-Space Search and Control Strategies: Introduction, General Problem\u00a0Solving, Characteristics of Problem, Exhaustive Searches, Heuristic Search Techniques,\u00a0Iterative-Deepening A*, Constraint Satisfaction. Game Playing, Bounded Look-ahead\u00a0Strategy and use of Evaluation Functions, Alpha-Beta Pruning<\/p>\n<p><strong>UNIT &#8211; II:\u00a0<\/strong>Logic Concepts and Logic Programming: Introduction, Propositional Calculus, Propositional\u00a0Logic, Natural Deduction System, Axiomatic System, Semantic Tableau System in\u00a0Propositional Logic, Resolution Refutation in Propositional Logic, Predicate Logic, Logic\u00a0Programming.\u00a0Knowledge Representation: Introduction, Approaches to Knowledge Representation,\u00a0Knowledge Representation using Semantic Network, Extended Semantic Networks for KR,\u00a0Knowledge Representation using Frames.<\/p>\n<p><strong>\u00a0UNIT &#8211; III:<\/strong> \u00a0Expert System and Applications: Introduction, Phases in Building Expert Systems, Expert<br \/>\nSystem Architecture, Expert Systems Vs Traditional Systems, Truth Maintenance Systems,\u00a0Application of Expert Systems, List of Shells and Tools.\u00a0Uncertainty Measure &#8211; Probability Theory: Introduction, Probability Theory, Bayesian Belief\u00a0Networks, Certainty Factor Theory, Dempster-Shafer Theory.<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\"><strong><span style=\"color: #ff0000\">Download iStudy Android App for complete JNTUH syllabus, results, timetables and all other updates. There are no ads and no pdfs and will make your life way easier<\/span>.<\/strong><\/a><\/p>\n<p><strong>TEXT BOOKS:<\/strong><\/p>\n<ul>\n<li>Saroj Kaushik. Artificial Intelligence. Cengage Learning. 2011<\/li>\n<li>Russell, Norvig: Artificial intelligence, A Modern Approach, Pearson Education,\u00a0Second Edition. 2004<\/li>\n<\/ul>\n<p><strong>REFERENCE BOOK:<\/strong><\/p>\n<ul>\n<li>Rich, Knight, Nair: Artificial intelligence, Tata McGraw Hill, Third Edition 2009.<\/li>\n<li>Introduction to Artificial Intelligence by Eugene Charniak, Pearson.<\/li>\n<li>Introduction to Artificial Intelligence and expert systems Dan W.Patterson. PHI.<\/li>\n<li>Artificial Intelligence by George Fluger rearson fifth edition.<\/li>\n<\/ul>\n<p>For all other B.Tech 3rd Year 2nd Sem syllabus go to <a href=\"https:\/\/www.inspirenignite.com\/jntuh\/jntuh-third-year-second-sem-computer-science-engineering-course-structure-2016-2017-r16-batch\/\">JNTUH B.Tech Computer Science and Engineering 3rd\u00a0Year 2nd Sem Course Structure for (R16) Batch.<\/a><\/p>\n<p>All details and yearly new syllabus will be updated here time to time. Subscribe, like us on facebook and follow us on google plus for all updates.<\/p>\n<p>Do share with friends and in case of questions please feel free drop a comment.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial Intelligence Detailed Syllabus for B.Tech third year second sem is covered here. This gives the details about credits, number of hours and other details along with reference books for [&hellip;]<\/p>\n","protected":false},"author":2259,"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":[62],"tags":[],"class_list":["post-5802","post","type-post","status-publish","format-standard","hentry","category-syllabus"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/5802","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/users\/2259"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/comments?post=5802"}],"version-history":[{"count":3,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/5802\/revisions"}],"predecessor-version":[{"id":18610,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/5802\/revisions\/18610"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/media?parent=5802"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/categories?post=5802"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/tags?post=5802"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}