{"id":24664,"date":"2020-07-20T07:40:16","date_gmt":"2020-07-20T07:40:16","guid":{"rendered":"https:\/\/www.inspirenignite.com\/jntuh\/artificial-intelligence-syllabus-for-mca-2nd-year-2nd-sem-r19-regulation-jntuh-professional-elective-i\/"},"modified":"2020-07-20T07:40:16","modified_gmt":"2020-07-20T07:40:16","slug":"artificial-intelligence-syllabus-for-mca-2nd-year-2nd-sem-r19-regulation-jntuh-professional-elective-i","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/jntuh\/artificial-intelligence-syllabus-for-mca-2nd-year-2nd-sem-r19-regulation-jntuh-professional-elective-i\/","title":{"rendered":"Artificial Intelligence Syllabus for MCA 2nd Year 2nd Sem R19 Regulation JNTUH (Professional Elective-I)"},"content":{"rendered":"

Artificial Intelligence detailed Syllabus for Master of Computer Applications (MCA), R19 regulation has been taken from the JNTUH<\/a> official website and presented for the students affiliated to JNTUH course structure. For Course Code, Subject Names, Theory Lectures, Tutorial, Practical\/Drawing, Credits, and other information do visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the universities official website.<\/p>\n

For all the other MCA 2nd Year 2nd Sem Syllabus for R19 Regulation JNTUH, visit Master of Computer Applications 2nd Year 2nd Sem R19 Scheme<\/a>. <\/p>\n

For all the (Professional Elective-I) subjects refer to Professional Elective-I Scheme<\/a>. The detail syllabus for artificial intelligence is as follows. <\/p>\n

Course Objectives:<\/h4>\n

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
\"Get<\/a>. <\/p>\n

Course Outcomes:<\/h4>\n
    \n
  1. Ability to formulate an efficient problem space for a problem expressed in natural language.<\/li>\n
  2. Select a search algorithm for a problem and estimaate its time and space complexities.<\/li>\n
  3. Possess the skill for representing knowledge using the appropriate technique for a given problem.<\/li>\n
  4. Possess the ability to apply AI techniques to solve problems of game playing, and machine learning.<\/li>\n<\/ol>\n

    Unit I<\/h4>\n

    Problem Solving by Search-I Introduction to AI, Intelligent Agents Problem Solving by Search -II: Problem-Solving Agents, Searching for Solutions, Uninformed Search Strategies: Breadth-first search, Uniform cost search, Depth-first search, Iterative deepening Depth-first search, Bidirectional search, Informed (Heuristic) Search Strategies: Greedy best-first search, A* search, Heuristic Functions, Beyond Classical Search: Hill-climbing search, Simulated annealing search, Local Search in Continuous Spaces, Searching with Non-Deterministic Actions, Searching wih Partial Observations, Online Search Agents and Unknown Environment .<\/p>\n

    Unit II<\/h4>\n

    For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
    It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
    \"Get<\/a>. <\/p>\n

    Unit III<\/h4>\n

    Logic and Knowledge Representation First-Order Logic: Representation, Syntax and Semantics of First-Order Logic, Using First-Order Logic, Knowledge Engineering in First-Order Logic. Inference in First-Order Logic : Propositional vs. First-Order Inference, Unification and Lifting, Forward Chaining, Backward Chaining, Resolution. Knowledge Representation : Ontological Engineering, Categories and Objects, Events. Mental Events and Mental Objects, Reasoning Systems for Categories, Reasoning with Default Information.<\/p>\n

    Unit IV<\/h4>\n

    Planning Classical Planning: Definition of Classical Planning, Algorithms for Planning with State-Space Search, Planning Graphs, other Classical Planning Approaches, Analysis of Planning approaches. Planning and Acting in the Real World : Time, Schedules, and Resources, Hierarchical Planning, Planning and Acting in Nondeterministic Domains, Multi agent Planning,.<\/p>\n

    Unit V<\/h4>\n

    For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
    It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
    \"Get<\/a>. <\/p>\n

    Text Books:<\/h4>\n
      \n
    1. Artificial Intelligence A Modern Approach, Stuart Russell and Peter Norvig, 3rd Edition, Pearson Education.<\/li>\n<\/ol>\n

      Reference Books:<\/h4>\n
        \n
      1. Artificial Intelligence , 3rd Edn. , E.Rich and K.Knight (TMH)<\/li>\n
      2. Artificial Intelligence, 3rd Edn., Patrick Henny Winston, Pearson Education.<\/li>\n
      3. Artificial Intelligence, Shivani Goel, Pearson Education.<\/li>\n
      4. Artificial Intelligence and Expert systems – Patterson, Pearson Education.<\/li>\n<\/ol>\n

        For detail Syllabus of all other subjects of 2nd Year 2nd Sem Master of Computer Applications, visit MCA 2nd Year 2nd Sem Syllabus<\/a> Subjects.<\/p>\n

        For all MCA results, visit JNTUH MCA all years, and semester results <\/a>from direct links.<\/p>\n","protected":false},"excerpt":{"rendered":"

        Artificial Intelligence detailed Syllabus for Master of Computer Applications (MCA), R19 regulation has been taken from the JNTUH official website and presented for the students affiliated to JNTUH course structure. […]<\/p>\n","protected":false},"author":2344,"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":[130],"tags":[],"class_list":["post-24664","post","type-post","status-publish","format-standard","hentry","category-mca"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/24664","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\/2344"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/comments?post=24664"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/24664\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/media?parent=24664"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/categories?post=24664"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/tags?post=24664"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}