Section 1: Engineering Mathematics Linear Algebra : Matrix algebra, systems of linear equations, Eigen values and Eigen vectors. Calculus : Mean value theorems, theorems of integral calculus, partial derivatives, maxima and minima, multiple integrals, Fourier series, vector identities, line, surface and volume integrals, Stokes, Gauss and Green’s theorems. Differential equations : First order equation (linear and nonlinear), higher order linear differential equations with constant coefficients, method of variation of parameters, Cauchy’s and Euler’s equations, initial and boundary value problems, solution of partial differential equations: variable separable method. Analysis of complex variables: Analytic functions, Cauchy’s integral theorem and integral formula, Taylor’s and Laurent’s series, residue theorem, solution of integrals. Probability and Statistics: Sampling theorems, conditional probability, mean, median, mode and standard deviation, random variables, dis...
M.Tech.-level programmes in Instrumentation Engineering, Astronomical Instrumentation, Instrumentation and Control Systems, Industrial Automation, Electronics Design and Technology, Process Control and Instrumentation, Embedded Systems, Robotics, Electronics and so on are suitable higher studies options. Selection will be on the basis of the score in the Graduate Aptitude Test in Engineering (GATE). Instrumentation Engineering is a specialised branch of Electrical and Electronics Engineering, primarily focussing on the principles and operations of measuring instruments used in the design and configuration of automated systems. Instrumentation technology helps create, construct and maintain measuring and control devices and systems found in manufacturing plants and research institutions. Hence those with B.Tech. and M.Tech. degrees in Electronics, Applied Electronics and Instrumentation Engineering can find jobs in these fields. Public-sector companies such as Instrumentation Ltd., ...