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Syllabus
Part -I : Engineering
Mathematics
Part - II : Basic
Engineering & Sciences
Part - III : 1) Civil
Engineering & Geo Informatics | 2) Earth
Science | 3) Mechanical,
Automobile & Aeronautical Engineering | 4) Electrical
& Electronics Engineering and Instrumentation Engineering | 5) Electronics
& Communication Engineering | 6) Production
& Industrial Engineering | 7) Computer
Science & Engineering and Information Technology | 8) Chemical
Engineering, Ceramic Technology & Biotechnology | 9) Textile
Technology | 10) Leather
Technology | 11) Architecture
| 12) Physics
& Material Science | 13) Mathematics
| 14) Social
Science
PART - III (13) Mathematics
(i) Algebra
Algebra: Group, subgroups, Normal subgroups, Quotient Groups,
Homomorphisms, Cyclic Groups, permutation Groups, Cayley's Theorem, Rings,
Ideals, Integral Domains, Fields, Polynomial Rings. Linear Algebra: Finite
dimensional vector spaces, Linear transformations - Finite dimensional
inner product spaces, self-adjoint and Normal linear operations, spectral
theorem, Quadratic forms.
(ii) Analysis
Real Analysis: Sequences and series of functions, uniform convergence,
power series, Fourier series, functions of several variables, maxima,
minima, multiple integrals, line, surface and volume integrals, theorems
of Green, Strokes and Gauss; metric spaces, completeness, Weierstrass
approximation theorem, compactness.
Complex Analysis: Analytic functions, conformal mappings, bilinear
transformations, complex integration: Cauchy's integral theorem and formula,
Taylor and Laurent's series, residue theorem and applications for evaluating
real integrals.
(iii) Topology and Functional Analysis
Topology: Basic concepts of topology, product topology, connectedness,
compactness, countability and separation axioms, Urysohn's Lemma, Tietze
extension theorem, metrization theorems, Tychonoff theorem on compactness
of product spaces.
Functional Analysis: Banach spaces, Hahn-Banach theorems, open
mapping and closed graph theorems, principle of uniform boundedness; Hilbert
spaces, orthonormal sets, Riesz representation theorem, self-adjoint,
unitary and normal linear operators on Hilbert Spaces.
(iv) Differential and integral Equations
Ordinary Differential Equations: First order ordinary differential
equations, existence and uniqueness theorems, systems of linear first
order ordinary differential equations, linear ordinary differential equations
of higher order with constant coefficients; linear second order ordinary
differential equations with variable coefficients, method of Laplace transforms
for solving ordinary differential equations.
Partial Differential Equations: Linear and quasilinear first
order partial differential equations, method of characteristics; second
order linear equations in two variables and their classification; Cauchy,
Dirichlet and Neumann problems, Green's functions; solutions of Laplace,
wave and diffusion equations using Fourier series and transform methods.
Calculus of Variations and Integral Equations: Variational problems
with fixed boundaries; sufficient conditions for extremum, Linear integral
equations of Fredholm and Volterra type, their iterative solutions, Fredholm
alternative.
(v) Statistics & Linear Programming
Statistics: Testing of hypotheses: standard parametric tests
based on normal, chisquare, t and Fdistributions.
Linear Programming: Linear programming problem and its formulation,
graphical method, basic feasible solution, simplex method, big-M and two
phase methods. Dual problem and duality theorems, dual simplex method.
Balanced and unbalanced transportation problems, unimodular property and
u-v method for solving transportation problems. Hungarian method for solving
assignment problems.
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