Mechatronics

18MT743: Artificial Intelligence Mechatronics Syllabus for BE 7th Sem 2018 Scheme VTU (Professional Elective-3)

Artificial Intelligence detailed Syllabus for Mechatronics Engineering (Mechatronics), 2018 scheme has been taken from the VTUs official website and presented for the VTU students. For Course Code, Subject Names, Teaching Department, Paper Setting Board, Theory Lectures, Tutorial, Practical/Drawing, Duration in Hours, CIE Marks, Total Marks, Credits and other information, visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the official website of the university.

For all the other VTU Mechatronics 7th Sem Syllabus for BE 2018 Scheme, visit Mechatronics Engineering 7th Sem 2018 Scheme.

For all the (Professional Elective-3) subjects refer to Professional Elective-3 Scheme. The detail syllabus for artificial intelligence is as follows.

Course objectives:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Module – 1

Artificial Intelligence: Introduction, History of AI, defining, Importance of AI, Early Work in AI, Scope of AI, AI and Related fields, AI Techniques, Alan Turing Machine, Intelligent Agents L1, L2, L3

Module – 2

Space Representation: Defining the Problem, Production Rules for water jug problem, Breadth-First Search Algorithm, Depth-First Search Algorithm, Generate & Test Algorithm, Hill Climbing Algorithms: Simple Hill Climbing Algorithm, Steepest-Ascent Hill Climbing Algorithm. L1, L2, L3

Module – 3

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Module – 4

Expert Systems Architectures: Introduction ,Rule-Based System Architectures ,Non-Production system Architectures: Semantic Network Architectures, Frame Architectures ,Decision Tree Architectures, Blackboard System Architectures, Analogical Reasoning Architectures, Neural Network Architectures. L1, L2, L3

Module – 5

Introduction to Machine Learning: Introduction, Perceptrons, Perceptron Learning Algorithm, Checkers Playing Examples, Learning automata: Automaton model, Temperature Control Model, CLA representation of NIM game, Genetic Algorithms, Intelligent editors. L1, L2, L3,

Course Outcomes:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Question Paper Pattern:

  • Examination will be conducted for 100 marks with question paper containing 10 full questions, each of 20marks.
  • Each full question can have a maximum of 4 sub questions.
  • There will be 2 full questions from each module covering all the topics of the module.
  • Students will have to answer 5 full questions, selecting one full question from each module.
  • The total marks will be proportionally reduced to 60 marks as SEE marks is 60

Text Books:

  1. Artificial Intelligence, Elaine Rich & Kevin Knight, M/H 2004.
  2. Introduction to AI & ES, Dan W. Patterson, Prentice Hall of India, 2012.
  3. Artificial Intelligence A Practical Approach, Er.Rajiv Chopra, S.Chand& Company Ltd,2012.Tom M. Mitchell, Machine Learning, India Edition 2013, McGraw Hill Education.

Reference Books:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

For the detail Syllabus of all other subjects of BE (Mechatronics) 7th Sem, visit Mechatronics Engineering 7th Sem Subjects.

For all (CBSE & Non-CBSC) BE/B.Tech results, visit VTU BE/B.Tech all semester results.

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