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B.E. (Artificial Intelligence and Data Science) Engineering Mechanics Syllabus - Mumbai University 2026

This is the FY BE AI and DS syllabus under NEP 2020, in force from the academic year 2024-25. The third and fourth years of this degree are still taught on the earlier CBCS REV-2019 'C' Scheme, because the University has published no NEP syllabus for Semesters V to VIII of any engineering branch.

Engineering Mechanics.pdf
Semester 1 · FY BE AI and DS · NEP 2020

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Syllabus for Engineering Mechanics

Semester 1 · FY BE AI and DS · NEP 2020

Module 0: Prerequisite 01 hours

  • 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 04 hours

  • 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 03 hours

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

Module III: Equilibrium of Force system and Friction 06 hours

  • 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 05 hours

  • 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 05 hours

  • 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 02 hours

  • 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

References

  • 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

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Data Science), item 7.7 (R-A), under NEP 2020, in force from the academic year 2024-25. Wording, module numbering and hours are as printed in that syllabus.

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 B.E. Artificial Intelligence and Data Science - First Year, Semester I and II - NEP 2020 - Item 7.7 (R-A) NEP 2020, Semesters I and II, in force from 2024-25 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Second Year, Semester III and IV - NEP 2020 - Item 6.20 (N) NEP 2020, Semesters III and IV, in force from 2025-26 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Third Year, Semester V and VI - CBCS REV-2019 C Scheme - Item 6.42 (R) CBCS REV-2019 'C' Scheme, Semesters V and VI, in force from 2022-23 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Fourth Year, Semester VII and VIII - CBCS REV-2019 C Scheme - Item 6.12 (N) CBCS REV-2019 'C' Scheme, Semesters VII and VIII, in force from 2023-24 Read full PDF Read
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