Syllabus

Artificial Intelligence Syllabus for VTU BE 2017 Scheme (Open Elective-1)

Artificial Intelligence detail syllabus for various departments, 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17CS562), and for exam duration, Teaching Hr/week, Practical Hr/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.

For all other open elective-1 syllabus for vtu be 2017 scheme you can visit Open Elective-1 syllabus for VTU BE 2017 Scheme Subjects. The detail syllabus for artificial intelligence is as follows.

Module 1

What is artificial intelligence?, Problems, Problem Spaces and search, Heuristic search technique TextBook1: Ch 1, 2 and 3

Module 2
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.

Module 3

Symbolic Reasoning under Uncertainty, Statistical reasoning, Weak Slot and Filter Structures. TextBoook1: Ch 7, 8 and 9

Module 4

Strong slot-and-filler structures, Game Playing. TextBoook1: Ch 10 and 12

Module 5
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.

Course Outcomes:

The students should be able to:

  • Identify the AI based problems
  • Apply techniques to solve the AI problems
  • Define learning and explain various learning techniques
  • Discuss expert systems

Question paper pattern:

  • The question paper will have ten questions.
  • There will be 2 questions from each module.
  • Each question will have questions covering all the topics under a module.
  • The students will have to answer 5 full questions, selecting one full question from each module.

Text Books:

  1. E. Rich, K. Knight & S. B. Nair – Artificial Intelligence, 3/e, McGraw Hill.

Reference Books:

  1. Artificial Intelligence: A Modern Approach, Stuart Rusell, Peter Norving, Pearson Education 2nd Edition.
  2. Dan W. Patterson, Introduction to Artificial Intelligence and Expert Systems -Prentice Hal of India.
  3. G. Luger, Artificial Intelligence: Structures and Strategies for complex problem Solving, Fourth Edition, Pearson Education, 2002.
  4. Artificial Intelligence and Expert Systems Development by D W Rolston-Mc Graw hill.
  5. N.P. Padhy Artificial Intelligence and Intelligent Systems, Oxford University Press-2015

For detail syllabus of all other subjects of BE do syllabus for different schemes from menu given on top.

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