Machine Learning 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 machine learning is as follows.
Course objectives:
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Module – 1
Introduction: Well posed learning problems, Designing a Learning system, Perspective and Issues in Machine Learning. Concept Learning: Concept learning task, Concept learning as search, Find-S algorithm, Version space. L1, L2, L3
Module – 2
Plasticity effects: Irwin plastic zone correction. Dugdale’s approach. The shape of the plastic zone for plane stress and plane strain cases. T \he plate thickness effect, numerical problems. Determination of Stress intensity factors and plane strain fracture toughness: Introduction ,estimation of stress intensity factors. Experimental method- Plane strain fracture toughness test, The Standard test,sizerequirements,etc. 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 probabilities, MDL principle, Naive Bayes classifier. L1, L2, L3
Module – 5
Evaluating Hypothesis: Motivation, Estimating hypothesis accuracy, basics of sampling theorem, General approach for deriving confidence intervals, Difference in error of two hypothesis, Comparing learning algorithms. L1, L2, L3,
Course Outcomes:
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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:
- 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..
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.