Artificial Intelligence (MCA-502)

Welcome to the homepage of the course Artificial Intelligence (MCA-502) for M.C.A. Part-III 1st Semester. You will get all the information about the course here.

Marks distribution

Total marks - 100 (Written exam - 70, Assignments/Class test - 30)

Course homepage

www.anirbanm.in/ai

Syllabus outline
  • Introduction
  • Problem Solving using State-Space Representation
  • Search Algorithms (uninformed and informed)
  • Randomized Search
  • Adversarial Search
  • Propositional and Predicate Logic
  • Inference Procedure
  • Uncertainty Handling
Books
  • Stuart Russel and Peter Norvig, Artificial Intelligence: A Modern Approach, 3/e, Prentice Hall, USA.
Course lectures 
(Acknowledgement: Slides of Professor Padhraic Smyth of University of California, Irvine)


Lecture-1Introduction to Artificial Intelligence Slides 
Lecture-2   Problem Solving using State Space Representation  Slides
Lecture-3-4    
Uninformed Search Slides
Lecture-5-6Informed Search Slides
Lecture-7-8 Local Search, SA, GA Slides
Lecture-9-10 Adversarial Search  Slides
Lecture-11-13Knowledge Representation - Logic  Slides
Lecture-14     Soundness and Completeness of Resolution  Slides
Lecture-15-16 Fuzzy Sets - Introduction  Slides
Lecture-17 Linguistic Variables  Slides


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Lec1.pdf
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Anirban Mukhopadhyay,
Jul 29, 2014, 10:21 AM
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Lec14.ppt
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Anirban Mukhopadhyay,
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Lec15-16.pdf
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Lec17.ppt
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Anirban Mukhopadhyay,
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Lec2.pdf
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Anirban Mukhopadhyay,
Jul 29, 2014, 10:21 AM
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Lec3-4.pdf
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Anirban Mukhopadhyay,
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Anirban Mukhopadhyay,
Sep 22, 2015, 10:06 AM
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Anirban Mukhopadhyay,
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Anirban Mukhopadhyay,
Sep 22, 2014, 12:48 AM
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