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Old February 8th, 2016, 09:32 AM
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Default CSIR NET computer science and engineering stream syllabus

Hii, I am hansvita I want CSIR NET computer science and engineering stream syllabus, so plz provide me??
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Old February 8th, 2016, 11:16 AM
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Join Date: Mar 2012
Default Re: CSIR NET computer science and engineering stream syllabus

Here, as per your requirement I am providing you CSIR NET computer science and engineering stream syllabus:-

CSIR UGC NET Syllabus Part – A

General aptitude with emphasis on logical reasoning, graphical analysis, analytical and numerical ability, quantitative comparisons, series formation, puzzles, etc.

CSIR UGC NET Syllabus Part – B

Mathematics and Engineering Aptitude

Linear Algebra
Algebra of matrices, inverse, rank, system of linear equations, symmetric, skew-symmetric and orthogonal matrices. Hermitian, skew-Hermitian and unitary matrices. eigenvalues and eigenvectors, diagonalisation of matrices.

Functions of single variable, limit, continuity and differentiability, Mean value theorems, Indeterminate forms and L’Hospital rule, Maxima and minima, Taylor’s series, Newton’s method for finding roots of polynomials. Fundamental and mean value – theorems of integral calculus. Numerical integration by trapezoidal and Simpson’s rule. Evaluation of definite and improper integrals, Beta and Gamma functions, Functions of two variables, limit, continuity, partial derivatives, Euler’s theorem for homogeneous functions, total derivatives, maxima and minima, Lagrange method of multipliers, double integrals and their applications, sequence and series, tests for convergence, power series, Fourier Series, Half range sine and cosine series.

Complex variables
Analytic functions, Cauchy-Riemann equations, Line integral, Cauchy’s integral theorem and integral formula Taylor’s and Laurent’ series, Residue theorem and its applications.

Vector Calculus
Gradient, divergence and curl, vector identities, directional derivatives, line, surface and volume integrals, Stokes, Gauss and Green’s theorems and their applications.

Ordinary Differential Equations
First order equation ( linear and nonlinear ), Second order linear differential equations with variable coefficients, Variation of parameters method, higher order linear differential equations with constant coefficients, Cauchy-Euler’s equations, power series solutions, Legendre polynomials and Bessel’s functions of the first kind and their properties. Numerical solutions of first order ordinary differential equations by Euler’s and Runge – Kutta methods.

Definitions of probability and simple theorems, conditional probability, Bayes Theorem.

Solid Body Motion and Fluid Motion : Particle dynamics; Projectiles; Rigid Body Dynamics; Lagrangian formulation; Eularian formulation; Bernoulli’s Equation; Continuity equation; Surface tension; Viscosity; Brownian Motion.

Laws of Thermodynamics; Concept of Free energy; Enthalpy, and Entropy; Equation of State; Thermodynamics relations.

Electron Transport
Structure of atoms, Concept of energy level, Bond Theory; Definition of conduction, Semiconductor and Insulators; Diode; Half wave & Full wave rectification; Amplifiers & Oscillators; Truth Table.

Theory of Electric and Magnetic potential & field; Biot & Savart’s Law; Theory of Dipole; Theory of Oscillation of electron; Maxwell’s equations; Transmission theory; Amplitude & Frequency Modulation.

Periodic table; Properties of elements; Reaction of materials; Metals and non – Metals ( Inorganic materials ), Elementary knowledge of monomeric and polymeric compounds; Organometallic compounds; Crystal structure and symmetry, Structure-property correlation-metals, ceramics, and polymers.


Computer Science and Information Technology

Basic Discrete Mathematics

Counting principles, linear recurrence, mathematical induction, equation sets, relations and function, predicate and propositional logic.

Digital Logic
Logic functions, Minimization, Design and synthesis of combinational and sequential circuits; Number representation and computer arithmetic ( fixed and floating point ).

Computer Organization and Architecture
Machine instructions and addressing modes, ALU and data – path, CPU control design, Memory interface, I/O interface ( Interrupt and DMA mode ), Instruction pipelining, Cache and main memory, Secondary storage.

Programming and Data Structures
Programming in C; Functions, Recursion, Parameter passing, Scope, Binding; Abstract data types, Arrays, Stacks, Queues, Linked Lists, Trees, Binary search trees, Binary heaps.

Analysis, Asymptotic notation, Notions of space and time complexity, Worst and average case
analysis; Design : Greedy approach, Dynamic programming, Dividee – and conquer; Tree and graph traversals, Connected components, Spanning trees, Shortest paths; Hashing, Sorting, Searching. Asymptotic analysis ( best, worst, average cases ) of time and space, upper and lower bounds, Basic concepts of complexity classes P, NP, NP-hard, NP-complete.

Operating System
Processes, Threads, Inter – process communication, Concurrency, Synchronization, Deadlock, CPU scheduling, Memory management and virtual memory, File systems.

ER-model, Relational model ( relational algebra, tuple calculus ), Database design ( integrity
constraints, normal forms ), Query languages ( SQL ), File structures ( sequential files, indexing, B and B+ trees ), Transactions and concurrency control.

Information Systems and Software Engineering
information gathering, requirement and feasibility analysis, data flow diagrams, process specifications, input / output design, process life cycle, planning and managing the project, design, coding, testing, implementation, maintenance.
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