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