NITH SYLLABUS

MA-121ENGINEERING MATHEMATICS-II
CreditsLTP
4310

UNIT-1

ORDINARY DIFFERENTIAL EQUATIONS
  • Brief review of ordinary differential equations
  • Exact equations
  • Equations reducible to exact equations
  • Equations of the first order and higher degrees
  • Clairaut’s equation
  • Applications of ODEs in concerned engineering branch
  • Linear differential equations with constant co-efficient
  • Complimentary functions and particular integral
  • Method of variation of parameters
  • Equations reducible to linear equations with constant co-efficient (Cauchy’s and Legendre’s linear equations)
  • Initial and Boundary value problems
  • Simultaneous linear equations with constant co-efficient
  • Applications of differential equations in concerned engineering branch

UNIT-2

PARTIAL DIFFERENTIAL EQUATIONS
  • Formulation of Partial Differential Equations (PDE)
  • Solution of PDE
  • Linear PDE of First Order (Lagrange’s Linear Equation)
  • Non-linear Equation of First Order (Standard Forms)
  • Charpit’s Method
  • Homogeneous Linear Equations with Constant Coefficients
  • Non-homogeneous Linear Equations.Applications of PDE: Method of separation of variables
  • Solution of one dimensional wave and heat equation and two dimensional Laplace’s equation

UNIT-3

TRANSFORMS THEORY
  • Laplace Transform: Laplace Transforms of standard functions and their properties
  • Inverse Laplace Transforms
  • General Properties of inverse Laplace transforms and Convolution Theorem
  • Laplace Transforms of periodic functions
  • Dirac-delta Function
  • Heaviside’s Unit Function
  • Solution of ODE and linear simultaneous differential equations using Laplace transforms
  • Fourier Transform: Fourier integral representation
  • Fourier sine
  • Cosine and complex transform
  • Finite Fourier Transforms and their applications
  • Z – Transforms: Z–Transforms & its properties
  • Inversion of Z – transform and applications of Z – transform

UNIT-4

PROBABILITY AND STATISTICS
  • Review of probability
  • Conditional probability and sampling theorems
  • Discrete and Continuous Probability Distribution
  • Probability Mass & Probability Density Functions
  • Distribution function
  • Discrete and Continuous probability distributions
  • Binomial
  • Poisson and Normal distributions
BOOKS
  1. Advanced Engineering Mathematics by E. Kreyszig, John Wiley and Sons, NC, New York.
  2. Differential Equations by S. L. Ross, John Wiley & Sons, New York.
  3. An Introduction to Probability Theory & its Applications by W. Feller, Wiley.
  4. Probability and Statistics for Engineers and Scientists by R.E. Walpole, S. L. Myers and K. Ye, Pearson.
  5. Integral Transforms and Their Applications by Lokenath Dennath and Dambaru Bhatta, Chapman and Hall/CRC Press
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