{"id":56270,"date":"2023-08-28T16:26:04","date_gmt":"2023-08-28T16:26:04","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/ccs350-knowledge-engineering-syllabus-for-aiml-2021-regulation-professional-elective-vii\/"},"modified":"2023-08-28T16:26:04","modified_gmt":"2023-08-28T16:26:04","slug":"ccs350-knowledge-engineering-syllabus-for-aiml-2021-regulation-professional-elective-vii","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/ccs350-knowledge-engineering-syllabus-for-aiml-2021-regulation-professional-elective-vii\/","title":{"rendered":"CCS350: Knowledge Engineering syllabus for AI&ML 2021 regulation (Professional Elective-VII)"},"content":{"rendered":"

Knowledge Engineering detailed syllabus for Artificial Intelligence & Machine Learning (AI&ML) for 2021 regulation curriculum has been taken from the Anna Universities<\/a> official website and presented for the AI&ML students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below. <\/p>\n

For Artificial Intelligence & Machine Learning 6th Sem scheme and its subjects, do visit AI&ML 6th Sem 2021 regulation scheme<\/a>. For Professional Elective-VII scheme and its subjects refer to AI&ML Professional Elective-VII syllabus scheme<\/a>. The detailed syllabus of knowledge engineering is as follows. <\/p>\n

Course Objectives:<\/h4>\n

Download the iStudy App for all syllabus and other updates.<\/a>
\"Get<\/a><\/h4>\n

Unit I<\/h4>\n

REASONING UNDER UNCERTAINTY
\nIntroduction – Abductive reasoning – Probabilistic reasoning: Enumerative Probabilities -Subjective Bayesian view – Belief Functions – Baconian Probability – Fuzzy Probability -Uncertainty methods – Evidence-based reasoning – Intelligent Agent – Mixed-Initiative Reasoning – Knowledge Engineering.\n<\/p>\n

Unit II<\/h4>\n

METHODOLOGY AND MODELING
\nConventional Design and Development – Development tools and Reusable Ontologies – Agent Design and Development using Learning Technology – Problem Solving through Analysis and Synthesis – Inquiry-driven Analysis and Synthesis – Evidence-based Assessment – Believability Assessment – Drill-Down Analysis, Assumption-based Reasoning, and What-If Scenarios.\n<\/p>\n

Unit III<\/h4>\n

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Unit IV<\/h4>\n

REASONIING WITH ONTOLOGIES AND RULES
\nProduction System Architecture – Complex Ontology-based Concepts – Reduction and Synthesis rules and the Inference Engine – Evidence-based hypothesis analysis – Rule and Ontology Matching – Partially Learned Knowledge – Reasoning with Partially Learned Knowledge.\n<\/p>\n

Unit V<\/h4>\n

LEARNING AND RULE LEARNING
\nMachine Learning – Concepts – Generalization and Specialization Rules – Types – Formal definition of Generalization. Modelling, Learning and Problem Solving – Rule learning and Refinement – Overview – Rule Generation and Analysis – Hypothesis Learning.\n<\/p>\n

Practical Exercises<\/h4>\n
    \n
  1. Perform\toperations with Evidence\tBased\tReasoning.<\/li>\n
  2. Perform\tEvidence based Analysis.<\/li>\n
  3. Perform\toperations on Probability\tBased\tReasoning.<\/li>\n
  4. Perform\tBelievability Analysis.<\/li>\n
  5. Implement Rule Learning and refinement.<\/li>\n
  6. Perform analysis based on learned patterns.<\/li>\n
  7. Construction of Ontology for a given domain.<\/li>\n<\/ol>\n

    Course Outcomes:<\/h4>\n

    Download the iStudy App for all syllabus and other updates.<\/a>
    \"Get<\/a><\/h4>\n

    Text Books:<\/h4>\n
      \n
    1. Gheorghe Tecuci, Dorin Marcu, Mihai Boicu, David A. Schum, Knowledge Engineering Building Cognitive Assistants for Evidence-based Reasoning, Cambridge University Press, First Edition, 2016. (Unit 1 – Chapter 1 \/ Unit 2 – Chapter 3,4 \/ Unit 3 – Chapter 5, 6 \/ Unit 4 – 7 , Unit 5 – Chapter 8, 9 )<\/li>\n<\/ol>\n

      Reference Books:<\/h4>\n
        \n
      1. Ronald J. Brachman, Hector J. Levesque: Knowledge Representation and Reasoning, Morgan Kaufmann, 2004.<\/li>\n
      2. Ela Kumar, Knowledge Engineering, I K International Publisher House, 2018.<\/li>\n
      3. John F. Sowa: Knowledge Representation: Logical, Philosophical, and Computational Foundations, Brooks\/Cole, Thomson Learning, 2000.<\/li>\n
      4. King , Knowledge Management and Organizational Learning , Springer, 2009.<\/li>\n
      5. Jay Liebowitz, Knowledge Management Learning from Knowledge Engineering, 1st Edition,2001.<\/li>\n<\/li>\n<\/ol>\n

        For detailed syllabus of all the other subjects of Artificial Intelligence & Machine Learning 6th Sem, visit AI&ML 6th Sem subject syllabuses for 2021 regulation<\/a>. <\/p>\n

        For all Artificial Intelligence & Machine Learning results, visit Anna University AI&ML all semester results<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"

        Knowledge Engineering detailed syllabus for Artificial Intelligence & Machine Learning (AI&ML) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the AI&ML students. […]<\/p>\n","protected":false},"author":2297,"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":[157],"tags":[],"class_list":["post-56270","post","type-post","status-publish","format-standard","hentry","category-aiml"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/56270","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=56270"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/56270\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=56270"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=56270"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=56270"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}