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  #2  
7th May 2018, 09:17 AM
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Re: South Asian University M.Sc Entrance

Hi buddy here I am looking for South Asian University M.Sc Entrance exam syllabus as I am going to appear in this exam for take admission there so will you plz give me same here ??
  #3  
7th May 2018, 09:18 AM
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Join Date: Aug 2012
Re: South Asian University M.Sc Entrance

South Asian University (SAU) is an International University sponsored by the eight Member States of the South Asian Association for Regional Cooperation (SAARC).

As you want here I am giving below South Asian University M.Sc Entrance exam syllabus on your demand :

South Asian University M.Sc Entrance syllabus


Calculus and Analysis: Limit, continuity, uniform continuity and differentiability; Bolzano Weierstrass theorem; mean value theorems; tangents and normal; maxima and minima; theorems of integral calculus; sequences and series of functions; uniform convergence; power series; Riemann sums; Riemann integration; definite and improper integrals; partial derivatives and Leibnitz theorem; total derivatives; Fourier series; functions of several variables; multiple integrals; line; surface and volume integrals; theorems of Green; Stokes and Gauss; curl; divergence and gradient of vectors.

Algebra: Basic theory of matrices and determinants; groups and their elementary properties; subgroups, normal subgroups, cyclic groups, permutation groups; Lagrange's theorem; quotient groups; homomorphism of groups; isomorphism and correspondence theorems; rings; integral domains and fields; ring homomorphism and ideals; vector space, vector subspace, linear independence of vectors, basis and dimension of a vector space.

Differential equations: General and particular solutions of ordinary differential equations (ODEs); formation of ODE; order, degree and classification of ODEs; integrating factor and linear equations; first order and higher degree linear differential equations with constant coefficients; variation of parameter; equation reducible to linear form; linear and quasi-linear first order partial differential equations (PDEs); Lagrange and Charpits methods for first order PDE; general solutions of higher order PDEs with constant coefficients.

Numerical Analysis: Computer arithmetic; machine computation; bisection, secant; Newton-Raphson and fixed point iteration methods for algebraic and transcendental equations; systems of linear equations: Gauss elimination, LU decomposition, Gauss Jacobi and Gauss Siedal methods, condition number; Finite difference operators; Newton and Lagrange interpolation; least square approximation; numerical differentiation; Trapezoidal and Simpsons integration methods.

Probability and Statistics: Mean, median, mode and standard deviation; conditional probability; independent events; total probability and Bayes theorem; random variables; expectation, moments generating functions; density and distribution functions, conditional expectation.

Linear Programming: Linear programming problem and its formulation; graphical method, simplex method, artificial starting solution, sensitivity analysis, duality and post-optimality analysis.

Negative Marks for Wrong Answers: If the answer given to any of the Multiple Choice Questions is wrong, of the marks assigned to that question will be deducted.


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