Artificial Intelligence and Machine Learning detailed Syllabus for Information Science Engineering (IS), 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 do visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the official website of the university.
For all other VTU IS 7th Sem Syllabus for BE 2018 Scheme, do visit VTU IS 7th Sem Syllabus for BE 2018 Scheme Subjects. The detailed Syllabus for artificial intelligence and machine learning is as follows.
Course Learning Objectives:
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Module 1
What is artificial intelligence?, Problems, problem spaces and search, Heuristic search techniques Texbook 1: Chapter 1, 2 and 3 RBT: L1, L2
Module 2
Knowledge representation issues, Predicate logic, Representaiton knowledge using rules. Concpet Learning: Concept learning task, Concpet learning as search, Find-S algorithm, Candidate Elimination Algorithm, Inductive bias of Candidate Elimination Algorithm. Texbook 1: Chapter 4, 5 and 6 Texbook2: Chapter 2 (2.1-2.5, 2.7) RBT: L1, L2, L3
Module 3
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Module 4
Bayesian Learning: Introduction, Bayes theorem, Bayes theorem and concept learning, ML and LS error hypothesis, ML for predicting, MDL principle, Bates optimal classifier, Gibbs algorithm, Navie Bayes classifier, BBN, EM Algorithm Texbook2: Chapter 6 RBT: L1, L2, L3
Module 5
Instance-Base Learning: Introduction, k-Nearest Neighbour Learning, Locally weighted regression, Radial basis function, Case-Based reasoning. Reinforcement Learning: Introduction, The learning task, Q-Learning. Texbook 1: Chapter 8 (8.1-8.5), Chapter 13 (13.1 – 13.3) RBT: L1, L2, L3
Course Outcomes:
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Question Paper Pattern:
- The question paper will have ten questions.
- Each full Question consisting of 20 marks
- There will be 2 full questions (with a maximum of four sub questions) from each module.
- Each full question will have sub questions covering all the topics under a module.
- The students will have to answer 5 full questions, selecting one full question from each module.
Textbooks:
- Tom M Mitchell,Machine Lerning,1st Edition, McGraw Hill Education, 2017
- Elaine Rich, Kevin K and S B Nair, Artificial Inteligence, 3rd Edition, McGraw HillEducation, 2017
Reference Books:
For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
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For detail Syllabus of all other subjects of BE 7th Sem Information Science Engineering, visit (IS) 7th Sem Syllabus Subjects.
For all (CBSE & Non-CBSC) BE results, visit VTU BE all semester results direct links.