Msc (OR) Syllabus for the Common Entrance Test
This part is intended to test the candidate’s vocabulary and analytical skills at a level essential for accurate comprehension and presentation of material appropriate for the degree. The language background expected will be of the level of English at Senior Secondary Examination. The paper will include passages for comprehension, test of vocabulary (synonyms and antonyms).
Mathematics : Vector Space, subspace and its properties, linear independence and dependence of vectors, matrices, rank of matrix, reduction to normal forms, linear homogenous and non-homogenous equations, Cayley-Hamilton theorem, characteristic roots and vectors. De Moivre’s theorem, relation between roots and coefficient of nth degree equation, solution to cubic and biquadratic equation, transformation of equations.
Calculus : Limits and continuity, differentiability of functions, successive differentiation, Leibnitz’s theorem, partial differentiation, Euler’s theorem on homogenous functions, tangents and normals, asymptotes, singular points, curve tracing, reduction formulae, integration and properties of definite integrals, quadrature, rectification of curves, volumes and surfaces of solids of revolution.
Differential Equations : Linear, homogenous, separable equations, first order higher degree equations, algebraic properties of solutions, linear homogenous equation with constant coefficients, solution of second order differential equations. Linear nonhomogenous differential equations.
Real Analysis : Neighbourhoods, open and closed sets, limit points and Bolzano Weiestrass theorem, continuous functions, sequences and their properties, limit superior and limit interior of a sequence, infinite series and their convergence, Rolle’s theorem, mean value theorem, Taylor’s theorem, Taylor’s theorem, Taylor’s series, Maclaurin’s series, maximum and minima, indeterminate forms.
Statistics : Measures of central tendency and dispersion and their properties, skewness and kurtosis, introduction to probability, theorems of total and compound probability, Bayes theorem, random variables, probability mass and density functions, mathematical expectation, moment generating functions, Binomial, Possion, Geometric, Exponential and Normal distribution and their properties, method of least squares, correlation and regression, introduction to sampling, sampling distributions and tests of significance based on t, Chisquare and F-distributions.
Operation Research :
Definition & scope of Operation Research, Formulation of simple Linear Programming Problems, Simplex method and basics of Duality.
Characteristics of Inventory System, Simple Economic Lot Size Inventory models, Recorder Level, Simple single period Stochastic Inventory Model.
Definition of Queues and their characteristics, Queueing Models with Markovian Input and Markovian Service, M/M/1 & M/M/C Queueing Models.
Definitions of Reliability, Avalability, Reliability of multicomponents systems, failure time distributions : exponential and Weibull.
Computer Science :
Flowcharts and algorithms, Number system : binary, octal, hexadecimal; Truth values, Logical operations, Logic functions and their evaluation.
Computer basics, Computer generation and classification, Fundamentals of high level languages, Fundamentals of Operating System, C Programming Language