IT

CCS350: Knowledge Engineering syllabus for IT 2021 regulation (Professional Elective-VII)

Knowledge Engineering detailed syllabus for Information Technology (IT) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the IT 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.

For Information Technology 6th Sem scheme and its subjects, do visit IT 6th Sem 2021 regulation scheme. For Professional Elective-VII scheme and its subjects refer to IT Professional Elective-VII syllabus scheme. The detailed syllabus of knowledge engineering is as follows.

Knowledge Engineering

Course Objectives:

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Unit I

REASONING UNDER UNCERTAINTY 6 Introduction – 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.

Unit II

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Unit III

ONTOLOGIES – DESIGN AND DEVELOPMENT 6 Concepts and Instances – Generalization Hierarchies – Object Features – Defining Features -Representation – Transitivity – Inheritance – Concepts as Feature Values – Ontology Matching. Design and Development Methodologies – Steps in Ontology Development – Domain Understanding and Concept Elicitation – Modelling-based Ontology Specification.

Unit IV

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Unit V

LEARNING AND RULE LEARNING 6 Machine 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.

Practical Exercises:

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Course Outcomes:

At the end of this course, the students will be able to:

  1. Understand the basics of Knowledge Engineering.
  2. Apply methodologies and modelling for Agent Design and Development.
  3. Design and develop ontologies.
  4. Apply reasoning with ontologies and rules.
  5. Understand learning and rule learning.

Text Books:

  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 )

Reference Books:

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For detailed syllabus of all the other subjects of Information Technology 6th Sem, visit IT 6th Sem subject syllabuses for 2021 regulation.

For all Information Technology results, visit Anna University IT all semester results direct link.

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