Differential Calculus and Linear Algebra

Introduction to Matrices, Elementary Transformation, Inverse by E- transformation, Rank of a Matrix by Echelon Form, Solution of system of linear Equations by direct method (Gauss Elimination Method), and Iterative method (Gauss Seidel Method), Eigen Values & Eigen Vectors, Diagonalization, Applications: Structural Analysis, Finite Element Analysis, Transportation Engineering .

Introduction of Limits, continuity and differentiability for function of two variables, Partial derivatives, Composite functions, Total derivative, Euler’s Theorem for homogeneous functions, Taylor’s and Maclaurin’s expansion for function of two variables, Jacobians, properties of Jacobian (without proof), Maxima & Minima for a function of up to two variables. Applications: Structural Engineering, Optimization of Designs, Hydraulics and Fluid Mechanics.

Evaluation of double and triple integrals, change of order of integration, Change of variable (double -integral).Beta and Gamma functions, Properties of Beta and Gamma function. Dirichlet’s Integral. Application of double integrals and triple integral to find area and volume. Applications: Area of Irregular Surfaces, Volume of Solids, Fluid Mechanics and Hydraulics.

Vector spaces (over the field of real numbers), Subspaces, Spanning set, Linear independence, Basis and Dimension. Linear transformations, Range and Null space, Rank-Nullity theorem, Matrix of a linear transformation. Applications: Surveying and Geomatics, Fluid Mechanics, Machine Learning and Data Analysis, Computer-Aided Design (CAD).

Scalar point function, Vector point function, Gradient of a scalar field, Directional derivatives, Divergence and curl of a vector function and their application to solenoidal and irrotational vectors respectively. Integration of Vectors, Stokes Theorem and Gauss Divergence Theorem (Without Proof). Applications: Structural Engineering, Hydraulics and Fluid Mechanics. Fluid flow analysis, Finite Element Analysis (FEA).