Home > Articles > Syllabus for Indian Institute of Technology Joint Admission Test for MCA 2012: IIT JAM
Indian Institute of Technology Joint Admission Test for MCA 2012 (IIT JAM), is conducted every-year by Indian Institutes of Technology (IITs) for admission into postgraduate level courses, namely, M. Sc.,MCA, M. Sc .-Ph. d. (Dual degree) and other post B. Sc. Programmes, at the IITs.
Candidates have to indicate the codes of two cities where they are willing to appear in JAM 2012. If enough candidates are not available at a listed city/town, then the city/town may be dropped out from the list, and candidates will either be allotted a centre in the city of their second choice or in a city near the city of first choice. A centre once allotted will not normally be changed.A request for change of a centre within the same city/town will not be permitted. In exceptional circumstances, a change of centre to another city/town may be permitted if a request with a valid reason for the same is received in the office of the Organizing Chairman, JAM 2012, IIT Bombay, on or before 13 December 2011 along with a Demand Draft of Rs. 250 (Rs. 125 for SC/ST and PD candidates) drawn in favour of “Chairman, JAM, IIT Bombay”, on any Nationalized Bank, payable at Mumbai. The decision of the Organizing Chairman, JAM 2012, in this regard will be final.
The Computer Applications (CA) test paper comprises of Mathematics, Computer awareness and Analytical ability and General awareness and they will be in the ratio 4:2:1.
MATHEMATICS
Algebra: Set theory and its simple applications. Basic concepts of groups, fields and vector spaces.
Matrices: Rank of a matrix. Existence and uniqueness of solution of a system of linear equation. Eigenvalues and Eigenvectors. Inverse of a matrix by elementary transformations.
Differential Equations: First order differential equations, linear differential equations of higher order with constant coefficients.
Vector Analysis: Vector algebra, Gradient.
Differential Calculus: Differentiation, Partial differentiation, Taylor series and approximate calculations. Maxima and minima of functions of one and two variables.
Integral Calculus: Single and multiple integration. Definite integrals, Change of order and change of variables. Applications to evaluation of area, surface and volume.
Numerical Analysis: Solution of non-linear equations using iterative methods. Interpolation (Lagrange’s formula and Newton’s formulae for equidistant points). Numerical differentiation and integration (Trapezoidal and Simpson’s rules).
Probability: Basic concepts of probability theory. Binomial and Poisson distributions.
Linear Programming: Formulation and its graphical solution for two variable problems.
COMPUTER AWARENESS
Elements of computers. Number systems. Basic electronic gates. Boolean algebra. Flip-Flops. Algorithmic approach to solve problems. Fundamentals of C language.
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