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Engineering Mathematics

  

Engineering Mathematics - I (Calculus & Linear Algebra)

1. Differential Calculus

  • Limits and Continuity
  • Differentiation of functions of one variable
  • Mean Value Theorems: Rolle’s, Lagrange’s, and Cauchy’s
  • Taylor’s and Maclaurin’s series
  • Partial Derivatives, Total Derivatives
  • Jacobians and Hessians
  • Maxima and Minima for multivariable functions (Lagrange multipliers)

2. Integral Calculus

  • Definite and Indefinite Integrals
  • Techniques of Integration (Substitution, Partial Fractions, By Parts)
  • Improper Integrals
  • Beta and Gamma Functions
  • Applications of Integrals: Area, Volume, Arc Length, Surface Area

3. Linear Algebra

  • Systems of Linear Equations
  • Matrix Operations
  • Inverse and Rank of a Matrix
  • Eigenvalues and Eigenvectors
  • Diagonalization
  • Cayley-Hamilton Theorem

Engineering Mathematics - II (Differential Equations & Complex Analysis)

1. Ordinary Differential Equations (ODEs)

  • First-order ODEs (Separable, Exact, Linear, Bernoulli)
  • Second and Higher-order Linear ODEs
  • Method of Undetermined Coefficients
  • Variation of Parameters
  • Applications: Mechanical and Electrical Systems

2. Laplace Transforms

  • Definition and Properties
  • Inverse Laplace Transform
  • Convolution Theorem
  • Applications to ODEs

3. Complex Numbers and Complex Functions

  • Analytic Functions
  • Cauchy-Riemann Equations
  • Conformal Mapping
  • Complex Integration
  • Cauchy’s Integral Theorem and Formula
  • Laurent Series, Residues, and Residue Theorem

Engineering Mathematics - III (Vector Calculus, PDEs, and Transforms)

1. Vector Calculus

  • Gradient, Divergence, and Curl
  • Directional Derivatives
  • Line, Surface, and Volume Integrals
  • Green’s, Gauss’s, and Stokes’ Theorems (with applications)

2. Partial Differential Equations (PDEs)

  • Formation and Classification of PDEs
  • Solution of First-order Linear PDEs (Lagrange's Method)
  • Method of Separation of Variables
  • One-dimensional Heat and Wave Equations
  • Laplace Equation

3. Fourier Series and Transforms

  • Fourier Series: Dirichlet’s conditions, Half-range Expansions
  • Fourier Integral and Fourier Transform
  • Sine and Cosine Transforms
  • Applications to Signal and Heat Problems

Engineering Mathematics - IV (Probability, Statistics & Numerical Methods)

1. Probability and Statistics

  • Probability Theory and Axioms
  • Conditional Probability and Bayes’ Theorem
  • Random Variables and Probability Distributions
  • Expectation, Variance, and Moments
  • Binomial, Poisson, Normal Distributions
  • Curve Fitting and Correlation
  • Regression Analysis
  • Hypothesis Testing

2. Numerical Methods

  • Errors and Approximations
  • Root-finding Methods: Bisection, Newton-Raphson
  • Interpolation: Newton’s and Lagrange’s methods
  • Numerical Differentiation and Integration (Trapezoidal, Simpson’s)
  • Numerical Solution of ODEs: Euler, Runge-Kutta methods

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