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Madurai Kamaraj University (MKU) is a public university, was established in 1966 and has 18 schools comprising 72 departments, and 109 affiliated colleges. University conducts MCA entrance exam for admission in MCA course Eligibility for MCA Entrance  You should be Graduate in any discipline with Mathematics as compulsory subject at 10+2 level OR Graduate in Computer Science / Computer Applications / Software / IT The candidates who have not studied Mathematics at +2 level but having studied the subjects: Business Mathematics Business Mathematics & Operational Research Operations Research Business Mathematics and Statistics Numerical Methods and Mathematics only at graduate level are not eligible to apply. Course Requirements  You should have studied under 10+2+3 or 10+1+4 or 10+3+2 pattern Course Outlines for Entrance Test: The entrance test will cover  30% components of Mathematics at the 10+2 level, 30% components of logical reasoning/analytical ability at the level of bachelor's degree, 10% components of proficiency in English at the level of Bachelor's Degree and a component of knowledge of computers and computer application at introductory level constituting 30%. MCA Entrance Exam Syllabus: Mathematics Algebra Sets, Relations, Functions, Elementary Number Theory Including the relation of congruence Modulo, Simultaneous linear / quadratic equations, Indices, Logarithms, Arithmetic, Geometric and Harmonic progressions, Binomial theorem, Surds, Complex numbers, Demoivre’s theorem and its simple application Matrics & Determinants Matrix operations, Definition and properties of determinats, Cofactors, Adjoint, Elementry Transformations, Rank and inverse of a Matrix, Matrix Polynomial, Characteristic Equations,Eigen Values, Latent Vectors, Caylay Hamilton theorem, Linear system of Equations. Theory Of Equations Polynomials and their charcteristics, Roots of an equation, Relations between Roots and Coefficients,Transformation of Equations, Symmetric function etc. Abstracy Algebra Groups, Cyclic groups, Subgroups, Normal Groups, Lagrange’s theorem, Homomorphism, Isomorphism, Ring, Field, Vector Spaces, Linear Independence of Vectors, Basis, Dimension, Linear Transformation and diagonalisation of Matrices etc. Vector Algebra Scalar and Vector quantities their representation, Addition and subtraction of vectors, Scalar and vector product of two vectors, Scalar triple product, Expansion formula of Vector triple product. Trigonometry Simple identities, trignometric equations, Properties of triangles, Solution of triangle, Height and distance, Inverse function. Calculas & Real Analysis Real number system, Concept of neighborhood and limit points, Continuity and limits, Indeterminate forms, properties of continuous functions in closed interval, Differentiation, Successive Differentiation, Maxima Minima, Roll's theorem, Mean value theorems, Maclaurine's series and Taylor's series, Integration, definite integral, Evaluation of length, Area and volume of curves, Curvature, Asymptotes, Tracing of curves, Partial Differentiation, functions of two variables, definition of partial derivates, Total differentiation, Sequence, Sequence of real numbers, Convergent Sequences, Cauchy Sequences, Monotonic Sequences, Infinite series of positive terms and their different test of convergence,Alternating infinite series and Leibnitz's test of convergence, Absolute convergence, Conditional convergence, Uniform Convergence, Multiple integration, Change of order and change of variables, Application to evaluation of Area, Surface and volume. Differential Equations Differential equations of first order and their solutions, Linear differential equations with constant coefficients, Homogenous linear differential equations, Orthogonal Trajectories, Singular solutions. Coordinate Geometry 2d : Pair of straight lines, Transformation of coordinate system, Circles, Parabola, Ellipse and Hyperbola, Pair of tangents from a point, Chord of contact, Equation of chord in terms of middle point, Diameter of Conic, Conjugate diameter, Classification of curves of second degree. 3d : Introduction to lines and planes, Spheres, Quadric Cones and Cylinders. Linear Programming Linear inequalities with two variables, Mathematical formulation of L.P.P, Basic concepts of graphical and Simplex method. Numerical Analysis Interpolation, Extrapolation, Quadrature formula, Simpson's 1/3rd rule, Trapezoidal rule, Solution of nonlinear equations using iterative methods, Numerical differentiation. Statistics Classifications of Data and frequency distribution, Calculation of measures of Central tendency and measures of dispersion, Skewness and Kurtosis, Permutation and Combination, Probability, Random variables and distribution functions, Mathematical expectations and generating functions, Binomial, Poisson, Geometric, Exponential and Normal distributions, Curve fitting and principal of least square, Correlation and Regression,Index numbers and their importance,Simple Time Series analysis, Sampling and large sample tests,test of significance based on t, Chisquare and F distributions. Computer Awareness Computer Basics Organization of a computer, Central Processing Unit (CPU), Structure of instructions in CPU, input / output devices, computer Memory, memory organization, backup devices. Data Representation Representation of characters, integers, and fractions, binary and Hexadecimal representations. Binary Arithmetic Addition, subtraction, division, multiplication, single arithmetic and two complement arithmetic, floating point representation of numbers, normalized floating point representation, Boolean Algebra, truth tables, Venn diagrams. Computer Architecture Block structure of computers, communication between processor and I / O devices, interrupts. Computer Language Assembly language and high level language, Multiprogramming and time sharing operating systems, Computer Programming in C. Mathematical Logic Venn Diagrams in logic, Logical operators, Negations, Logical Equivalence and Tautology. Flow Chart & Algorithms And Basics Of Data Structure Analytical Ability & Logical Reasoning This part of the syllabi deals with enhancing candidates logical reasoning, quantitative reasoning and visuospatial Reasoning besides grooming the students to deal with practical logical situations in the best possible manner. Address: Madurai Kamaraj University Alagar Kovil Road, Madurai, Tamil Nadu 0452 245 8471 Map Last edited by Aakashd; June 1st, 2019 at 12:01 PM. 
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Re: Madurai Kamaraj University MCA
sir, please tell me how many fee to pay the PGDiploma in marketing management.(distance). when will start the class. subbulakshmi senthil27875@yahoo.com.sg 
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Re: Madurai Kamaraj University MCA
I WANT A QUESTION PAPERS FOR B.A. ENGLISH LITERATURE IN MKU DDE N.ANITH JESINTHAL Anithjesinthal@yahoo.com 
