6th Sem, MANF

Introduction To Artificial Intelligence Manf 6th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective I)

Introduction To Artificial Intelligence Manf 6th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective I) detail syllabus for Manufacturing Engineering (Manf), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (MF8002), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.

For all other manf 6th sem syllabus for be 2017 regulation anna univ you can visit Manf 6th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective I subjects do refer to Professional Elective I. The detail syllabus for introduction to artificial intelligence is as follows.

Course Objective:

  • The objective of this course is to familiarize the students in the basic principles of Artificial Intelligence and important topics such as Heuristics, game playing, knowledge representation

Unit I

For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.

Unit II

Game Playing
Overview – Minimax search procedure – Adding Alpha – Beta cutoffs – Waiting for Quiescence -Secondary search

Unit III

Knowledge Representation
Use of Predicate logic – Introduction to representation – representing – simple facts in logic -augmenting the representation – resolution – Conversion to clause from – The basis of resolution – Unification of algorithm – Question answering – Natural Deduction.

Unit IV

For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.

Unit V

Structural Representations of Knowledge
Common knowledge structures – Level of representation – Right structure – Declarative representations – Semantic nets – Conceptual dependency – Frames – Scripts – Procedural representation – Natural language understanding – Perception – learning – Implementation A.I. Systems.

Course Outcome:

  • Use of Artificial Intelligence and tools solve engineering problems.

Text Books:

  1. Peter Norvig, Stuart Russell, Artificial Intelligence, A modern approach, Prentice Hall of India Pvt. Ltd, 2006

References:

  1. Charniac, E. and M.C. Dermott, Introduction to Artificial Intelligence, Pearson Education, 2002
  2. M.W. Richaugh, Artificial Intelligence, A Knowledge Based Approach, PWS Rent Publishing, Boston.

For detail syllabus of all other subjects of BE Manf, 2017 regulation do visit Manf 6th Sem syllabus for 2017 Regulation.

Dont forget to download iStudy for latest syllabus and results, class timetable and more.

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