Computational Intelligence detail syllabus for Information Technology (It), 2017 regulation is taken from Anna University official website and presented for students of Anna University. The details of the course are: course code (IT8601), Category (PC), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other it 6th sem syllabus for be 2017 regulation anna univ you can visit It 6th Sem syllabus for BE 2017 regulation Anna Univ Subjects. The detail syllabus for computational intelligence is as follows.”
Course Objective:
- To provide a strong foundation on fundamental concepts in Computational Intelligence.
- To enable Problem-solving through various searching techniques.
- To apply these techniques in applications which involve perception, reasoning and learning.
- To apply Computational Intelligence techniques for information retrieval
- To apply Computational Intelligence techniques primarily for machine learning.
Unit I
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Unit II
Knowledge Representation and Reasoning
Proposition Logic – First Order Predicate Logic – Unification – 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 – Prolog Programming.
Unit III
Uncertainty
Non monotonic reasoning-Fuzzy Logic-Fuzzy rules-fuzzy inference-Temporal Logic-Temporal Reasoning-Neural Networks-Neuro-fuzzy Inference.
Unit IV
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Unit V
Intelligence and Applications
Natural language processing-Morphological Analysis-Syntax analysis-Semantic Analysis-AIl applications – Language Models – Information Retrieval – Information Extraction – Machine Translation – Machine Learning – Symbol-Based – Machine Learning: Connectionist – Machine Learning.
Course Outcome:
Upon completion of the course, the students will be able to
- Provide a basic exposition to the goals and methods of Computational Intelligence.
- Study of the design of intelligent computational techniques.
- Apply the Intelligent techniques for problem solving
- Improve problem solving skills using the acquired knowledge in the areas of, reasoning, natural language understanding, computer vision, automatic programming and machine learning.
Text Books:
- Stuart Russell, Peter Norvig, Artificial Intelligence: A Modern Approach, Third Edition, Pearson Education / Prentice Hall of India, 2010.
- Elaine Rich and Kevin Knight, Artificial Intelligence, Third Edition, Tata McGraw-Hill, 2010.
References:
- Patrick H. Winston. “Artificial Intelligence”, Third edition, Pearson Edition, 2006.
- Dan W.Patterson, Introduction to Artificial Intelligence and Expert Systems, PHI, 2006.
- Nils J. Nilsson, Artificial Intelligence: A new Synthesis, Harcourt Asia Pvt. Ltd., 2000.
For detail syllabus of all other subjects of BE It, 2017 regulation do visit It 6th Sem syllabus for 2017 Regulation.
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