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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 - I
ENGINEERING MATHEMATICS (Common to all Candidates)
i) Determinants and Matrices : Solving system of equations - Rank of the Matrix - Eigenvalues and eigenvectors - Reduction of quadratic form to canonical form.
ii) Calculus and Differential Equations : Partial derivatives - Jacobians - Taylor’s expansion - Maxima and Minima. Linear ordinary differential equations with constant coefficients - Simultaneous first order linear equations with constant coefficients. Formation of partial differential equation (PDE) - Solution of first order PDE - Solution of linear higher order PDE with constant coefficients.
iii) Vector Calculus : Double and triple integrations and their applications - Gradient, Divergence, Curl and Laplacian - Green’s, Gauss divergence and Stroke’s theorem.
iv) Functions of Complex Variables and Complex Integration : Analytic functions - Conformal Mapping - Bilinear transformation - Cauchy’s integral theorem and integral formula - Taylor and Laurent Series - Singularities - Residues - Residue theorem and its applications.
v) Transforms : Laplace Transform - Inverse transforms - Application to solution of linear ordinary differential equations with constant coefficients. Fourier integral theorem - Fourier transform pair - Sine and Cosine transforms. -transform - Inverse Z-transform - Solution of difference equations using Z- transform.
vi) Numerical Methods : Solution of linear system by direct and iterative methods - Interpolation and approximation - Numerical Differentiation and Integration - Solving Ordinary Differential Equations.
vii) Applied Probability : Probability and Random variables - Standard Discrete and Continuous distribution - Moments - Moment generating function and their properties. Two-Dimensional Random Variables - Covariance - Correlation and Regression.
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