Engineering Mathematics-III syllabus

MDM-221-MEC · Second Year Mechanical Engineering, SPPU 2024 pattern. Every unit, the marks scheme, course outcomes and books, copied from the official syllabus PDF.

MDM-221-MEC3 h/week theoryCCE 40 + End-sem 60
05.units
03.credits

Unit-wise syllabus

UNIT I

Linear Differential Equations (LDE) and Applications

7 hours

LDE of nth order with constant coefficients, Complementary Function, Particular Integral, General method, Short methods, Method of variation of parameters, Cauchy’s and Legendre’s DE, Simultaneous DE. Modelling of Mass-spring systems, Free & Forced damped and undamped systems

UNIT II

Statistics & Probability

8 hours

Introduction to Data Science, Measures of central tendency, Measures of dispersion, Coefficient of variation, Moments, Skewness and Kurtosis, Correlation: Karl Pearson’s correlation, Spearman’s rank correlation, Regression analysis and Reliability of regression estimates. Probability, Probability density function, and Central limit theorem, Probability distributions: Binomial, Poisson, Normal, and Test of hypothesis: Chi-square test and t- test

UNIT III

Numerical methods for solving algebraic and transcendental equations

8 hours

Numerical Solution of Algebraic and Transcendental equations: Bisection, Secant, Regula-Falsi, Newton– Raphson and Successive Approximation Methods, Convergence and Stability. Numerical Solutions of System of linear equations: Gauss elimination with partial pivoting, LU Decomposition, Jacobi and Gauss-Seidel Methods.

UNIT IV

Numerical Interpolation and solution of ODE

8 hours

Interpolation: Finite Differences, Newton’s and Lagrange’s Interpolation formulae, Numerical Differentiation. Numerical Integration: Trapezoidal and Simpson’s rules, Bound of truncation error. Solution of Ordinary differential equations (ODE): Euler’s, Modified Euler’s, Runge-Kutta 4th order methods and Predictor-Corrector methods.

UNIT V

Vector Calculus

8 hours

Vector differentiation, Gradient, Divergence and Curl, Directional derivative, Solenoidal & Irrotational fields, Vector identities. Line, Surface and Volume integrals, Green’s Lemma, Gauss’s Divergence theorem and Stoke’s theorem.

Marks and credits

HeadMarksCredit
CCE (continuous comprehensive evaluation)403
End-semester exam60

Prerequisite: Differential & Integral calculus, Differential equations of first order & first degree, Fourier series, Collection, classification and representation of data and Vector algebra.

Course outcomes

  1. CO1SOLVE higher order linear differential equations and its applications to model and analyze mass spring systems.
  2. CO2APPLY Statistical methods like correlation, regression in analyzing and interpreting experimental data applicable to reliability engineering and probability theory in testing and quality control.
  3. CO3SOLVE Algebraic & Transcendental equations and System of linear equations using numerical techniques.
  4. CO4OBTAIN Interpolating polynomials, numerical differentiation and integration, numerical solutions of ordinary differential equations used in modern scientific computing applicable to Mechanical engineering.
  5. CO5PERFORM Vector differentiation & integration, ANALYZE the vector fields and APPLY to fluid flow problems.

Books

Text books

Reference books

NPTEL and SWAYAM links

Listed in the official syllabus:

FAQ

How many units are in Engineering Mathematics-III?

Engineering Mathematics-III (MDM-221-MEC) has 5 units: Unit I Linear Differential Equations (LDE) and Applications (7 h); Unit II Statistics & Probability (8 h); Unit III Numerical methods for solving algebraic and transcendental equations (8 h); Unit IV Numerical Interpolation and solution of ODE (8 h); Unit V Vector Calculus (8 h).

What is the marks scheme for Engineering Mathematics-III?

The official Mechanical Engineering 2024 pattern syllabus lists continuous comprehensive evaluation (CCE) for 40 marks and the end-semester exam for 60 marks, for 3 credits.

What should I know before Engineering Mathematics-III?

Prerequisite listed in the syllabus: Differential & Integral calculus, Differential equations of first order & first degree, Fourier series, Collection, classification and representation of data and Vector algebra.