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B.E Artificial Intelligence and Machine Learning Engineering Mechanics Syllabus - Mumbai University

This is the First Year AI-ML syllabus under NEP 2020, in force from the academic year 2024-25. The University still sets the earlier Choice Based papers alongside it for ATKT candidates, so check which scheme your exam form names before you revise.

Engineering-Mechanics.pdf
Semester 1 · First Year AI-ML · 2 credits

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Syllabus for Engineering Mechanics

Semester 1 · First Year AI-ML · 2 credits

Module 0: Prerequisite

  • Resolution of a force. Use of trigonometry functions. Parallelogram law of forces. Law of triangle. Polygon law of forces, Lami’s theorem. Concepts of Vector Algebra. Uniformly accelerated motion along a straight line, motion under gravity, projectile motion, Time of flight, Horizontal range, Maximum height of a projectile. Law of conservation of Energy, Law of conservation of Momentum, and Collision of Elastic Bodies. Work Energy Principle (Note: There will be no questions from the prerequisite in the theory examination)

Module I: System of Forces

  • Classification of force systems, Principle of transmissibility, composition and resolution of forces. Resultant of coplanar force system (Concurrent forces, parallel forces and general system of forces). Moment of force about a point, Couples, Varignon’s Theorem. Resultant of Non-Coplanar (Space Force): Concurrent force system

Module II: Centroid

  • Centroids of plane laminas: Plane lamina consisting of primitive geometrical shapes.

Module III: Equilibrium of Force system and Friction

  • 3.1 Equilibrium: Conditions of equilibrium for concurrent forces, parallel forces and general forces, Couples. Equilibrium of rigid bodies, free body diagrams.
  • 3.2 Equilibrium of Beams: Types of beams, simple and compound beams, type of supports and reaction: Determination of reactions at supports for various types of loads on beams. (Excluding problems on internal hinges)
  • 3.3 Friction: Laws of friction. Cone of friction. angle of repose, angle of friction, equilibrium of bodies on a horizontal and inclined plane.

Module IV: Kinematics of particle and rigid bodies

  • 4.1 Motion of particle with variable acceleration. Motion along plane curved path. velocity and acceleration in terms of rectangular components, tangential and normal component of acceleration.
  • 4.2 Introduction to general plane motion, problem based on Instantaneous center (ICR) method for general plane motion (up to 2 linkage mechanism and no relative velocity method)

Module V: Kinetics of particle

  • 5.1 Force and Acceleration: -Introduction to basic concepts, D’Alembert’s Principle, concept of Inertia force, Equations of dynamic equilibrium.
  • 5.2 Principle of linear impulse and momentum. Impact and collision: Law of conservation of momentum, Coefficient of Restitution. Direct Central Impact and Oblique Central Impact. Loss of Kinetic Energy in collision of inelastic bodies.

Module VI: Introduction to Robot Kinematics

  • Fundamental of Robot Mechanics, Degree of Freedom, D-H Parameters, robot kinematics (Forward), Homogeneous transformation (limited to 2 DOF Serial robot)

Text Books

  • 1 Engineering Mechanics by A K Tayal, Umesh Publication.
  • 2 Engineering Mechanics by Kumar, Tata McGraw Hill
  • 3 Engineering Mechanics by Beer &Johnston, Tata McGraw Hill
  • 1 Engineering Mechanics by R. C. Hibbeler.
  • 2 Engineering Mechanics by F. L. Singer, Harper& Raw Publication
  • 3 Engineering Mechanics by Macklin & Nelson, Tata McGraw Hill
  • 4 Engineering Mechanics by Shaum Series
  • 5 Engineering Mechanics (Statics) by Meriam and Kraige, Wiley Bools
  • 6 Engineering Mechanics (Dynamics) by Meriam and Kraige, Wiley Bools
  • 7 Introduction to Industrial Robotics by Ramchandran Nagrajan, Pearson publication

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Machine Learning) under NEP 2020, in force from the academic year 2024-25. Wording is as printed in that syllabus. Module numbering is as printed there too.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

PDF 7.8 (R-A) B.E. (Artificial Intelligence and Machine Learning) Sem I & II (Revised, NEP 2020) NEP 2020 syllabus Read full PDF Read
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PDF 6.42 (R) B.E. (Artificial Intelligence and Machine Learning) Third Year, Sem V & VI (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
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