NIELIT Scientist B Syllabus 2021 PDF & Download Exam Pattern: Are you searching for NIELIT Scientist B Syllabus? If Yes, You are in the right place. The National Institute of Electronics and Information Technology (NIELIT) has officially released the Scientist ‘B’ Posts Recruitment. The candidates eagerly check and prepare for the examination. So, we provided the NIELIT Scientist B Syllabus 2021 to score more marks in the NIELIT Scientist B Exam. Not only the NIELIT Scientist B Syllabus pdf you can also get the NIELIT Scientist B Exam Pattern from this page. So, candidates can prepare for the NIELIT Scientist B Exam 2021 without any disturbance. To the bottom of this page, you can easily get the NIELIT Scientist B Syllabus 2021 & Exam Pattern For Subject Wise Syllabus in PDF Format. The candidates can use this article to get more marks and ideas about the examination.

NIELIT Scientist B Syllabus 2021 – Details

NIELIT Scientist B Recruitment Selection Process

The final selection of eligible candidates for appointment to the post of Scientist ‘B’ will be based on the combined performance of the candidates both in the written examination and an interview.

NIELIT Scientist B Exam Pattern 2021

• The Written Examination will be Objective type (OMR based) consisting of questions from Technical and Generic Areas.
• The duration of the written test will be 3 hours.
• There will be a total of 120 objective type Questions consisting of 65% of questions from the Technical Area of the respective stream and 35% of questions from the Generic Area.
• Every Question will carry a 1 (one) mark and there will be a negative marking of 0.25 mark for each wrong answer

NIELIT Scientist B Syllabus PDF

Technical Area

Computer Science / Computer Engineering

Engineering Mathematics:

• Mathematical Logic: Propositional Logic; First-Order Logic:
• Probability: Conditional Probability; Mean, Median, Mode and Standard Deviation; Random Variables;
• Distributions; uniforms, normal, exponential, Poisson, Binomial.
• Set Theory & Algebra: Sets, Relations, Functions, Groups, Partial Orders, Lattice, Boolean Algebra.
• Combinatorics: Permutations, Combinations, Counting, Summation, generating functions, recurrence, relations, asymptotics.
• Graph Theory: Connectivity, spanning trees, Cutting vertices & edges, covering, matching, independent sets, Colouring, Planarity, Isomorphism.
• Linear Algebra: Algebra of Matrices, determinants, systems of linear equations, Eigenvalues and Eigenvectors.
• Numerical Methods: LU decomposition for systems of linear equations, numerical solutions of nonlinear algebraic equations by Secant, Bisection and Newton-Raphson Methods; Numerical integration by trapezoidal and Simpson’s rules.
• Calculus: Limit, Continuity & differentiability, Mean value Theorems, Theorems of integral calculus, evaluation of definite & improper integrals, Partial derivatives, Total derivatives, Maxima & Minima.

Computer Science/ Computer Engg

• 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.
• Analog and Digital Communication: Autocorrelation and power spectral density, properties of white noise, filtering of random signals through LTI systems, amplitude modulation and demodulation, angle modulation and demodulation, spectra of AM and FM, Superheterodyne receivers, circuits for analogue communications, Information theory, entropy, mutual information and channel capacity theorem, Digital communications, PCM, DPCM, digital modulation schemes, amplitude, phase and frequency shift keying (ASK, PSK, FSK), QAM, MAP and ML decoding, matched filter receiver, calculation of bandwidth, SNR and BER for digital modulation; Fundamentals of error correction, Hamming codes; Timing and frequency synchronization, inter-symbol interference and its mitigation; Basics of TDMA, FDMA and CDMA.
• 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, Object-Oriented Programming Concepts- Object, Class, Inheritance, Polymorphism, Abstraction and Encapsulation.
• Algorithms: Analysis, Asymptotic, notation, Notions of space and time complexity, Worst and average case analysis, Design; Greedy approach, Dynamic programming, Divide-and-conquer, Tree and graph traversals, Connected competent, Spanning trees, Shortest paths; Hashing, Sorting, Searching,
• Asymptotic analysis (best, worst, average cases) of time and space, upper and lower bounds, Basic concept of complexity classes –P, NP, NP-hard, NP-complete.
• Theory of Computation: Regular languages and finite automata, Context free languages and Push-down automata, Recursively enumerable sets and Turing machines, Undecidability.
• Compiler Design: Lexical analysis, Parsing, Syntax directed translation, Runtime environments, Intermediate and target code generation, Basics of code optimization.
• Operating System: Processes, Threads, Inter-Process communication, Concurrency, Synchronization, Deadlock, CPU scheduling, Memory management and virtual memory, File systems, I/O systems, Protection and security,
• Databases: 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.
• Computer Networks: ISO/OSI stack, LAN technologies, Flow and error control techniques, Routing algorithms, Congestion control, TCP/UDP and sockets, IP(v4), IP(v6), Application layer protocols, (ICMP, DNS, SMTP, POP, FTP, HTTP), Basic concepts of hubs, switches, gateways, and routers. Wireless technologies, Network security – basic concepts of public key and private key cryptography, digital signature, firewalls.

(Electronics and Communication)

1. Engineering Mathematics

• Linear Algebra: Matrix Algebra, Systems of linear equations, Eigen values and Eigen vectors.
• Calculus: Mean value theorems, Theorems of integral calculus, Evaluation of definite and improper integrals, Partial Derivatives, Maxima and Minima, Multiple integrals, Fourier series, Vector identities, Directional derivatives, Line, Surface and Volume integrals, Strokes, Gauss and Green’s theorems.
• Differential Equations: First order equation (linear and nonlinear), Higher order linear differential equations with constant coefficients. Method of variation parameters, Cauchy’s and Euler’s equations, Initial and boundary value problems, Partial Differential Equations and variable separable method.
• Complex variables: Analytic functions, Cauchy’s integral theorem and integral formula, Taylor’s andLaurent’ series, Residue theorems, solution integrals
• Probability & statistics: Sampling theorems, Conditional probability, Mean, median, mode and standard deviation, Random variables, Discrete and continuous distributions, Poisson, Normal and Binomial distributions, Correlation and regression analysis.
• Numerical Methods: Solutions of non-linear algebraic equations, single and multi-step methods for differential equations.
• Transform Theory: Fourier transform, Laplace transform, Z-transform.

2. Electronics and Communication

• Electronics Devices: Energy band in silicon, intrinsic and extrinsic semiconductors. Carrier transport in semiconductors, diffusion current, drift current, mobility and resistivity. Generation and recombination of carriers, p-n junction diode, Zener diode, tunnel diode, BJT, JFET, MOS capacitor, MOSFET, LED, p-i-n and avalanche photodiode, basics of LASERs, Device technology, integrated circuits fabrication process, oxidation, diffusion, ion implantation, photolithography, n-tub, p-tub and twin-tub CMOS process.
• Analog Circuits: Small Signal Equivalent circuit of diodes, BJTs, MOSFETs and analogue CMOS. Simple diode circuits, clipping, clamping, rectifier. Biasing and bias stability of transistor and FET amplifier. Amplifiers: single-and-multi-stage, differential and operational, feedback, and power. Frequency response of amplifiers. Simple op-amp circuits. Filters, Sinusoidal oscillators, the criterion for oscillation, single transistor and op-amp configurations. Function generators and wave-shaping circuits, 555 Timers. Power supplies.
• Digital Circuits: Boolean algebra, minimization of Boolean functions, logic gates; digital IC families (DTL, TTL, ECL, MOS, CMOS). Combinational circuits: arithmetic circuits, code converters, multiplexers, decoders. ROM, PROMS, Sequential circuits, latches and flip-flops, counters and shift registers, Sample and hold circuits, ADCs, DACs, Semiconductor memories.
• Signals and Systems: Definitions and properties of Laplace transform continuous-time and discrete-time Fourier series. Continuous-time and discrete-time Fourier transform, DFT and FFT, z-transform, Sampling theorem. Linear Time-Invariant (LTI) Systems: definitions and properties; causality, stability, impulse response, convolution, poles and zeroes, parallel and cascade structure, frequency response, group delay, phase delay. Signal transmission through LTI systems.
• Communications: Random signals and noise; probability, random variables, probability density function, autocorrelation, power spectral density. Analog communication systems: amplitude and angle modulation and demodulation systems, spectral analysis of these operations, superheterodyne receivers; elements of hardware, realizations of analogue communication systems; signal-to-noise ratio (SNR) calculations for amplitude modulation (AM) and frequency modulation (FM) for low noise conditions. Fundamentals of information theory and channel capacity theorem.
• Digital Communication Systems: pulse code modulation (PCM), Differential pulse code modulation (DPCM), digital modulation schemes: amplitude, phase and frequency shift keying schemes (ASK, PSK, FSK), matches filter receivers, bandwidth consideration and probability of error calculations for these schemes. Basics of TDMA, FDMA, CDMA and GSM. Wireless Communication.
• Control Systems: Basic control system components; block diagrammatic description, reduction of block diagrams. Open-loop and closed-loop (feedback) systems and stability analysis of these systems. Signal flow graphs and their use in determining transfer functions of systems, transient and study state analysis of LTI control systems and frequency response. Tools and techniques for LTI control system analysis, root loci, Routh-Hurwitz criterion, Bode and Nyquist plots. Control system compensators: elements of lead and lag compensation, elements of Proportional-Integra- Derivative (PID) control. State variable representation and solution of state equation of LTI control systems.
• Electromagnetics: Elements of vector calculus; divergence and curl: Gauss and Stokes theorems, Maxwell’s equations: differential and integral forms. Wave equations, Poynting vector. Plane-wave: propagation through various media; reflection and refraction; phase and group velocity; skin depth. Transmission lines: characteristics and impedance; impedance transformation; Smith chart; impedance matching; S parameters, pulse excitation. Waveguides: modes in rectangular waveguides; boundary conditions; cut-off frequencies; dispersion relation. Basics of propagation in dielectric waveguide and optical fibres. Basics of Antennas: Dipole antennas: radiation pattern; antenna gain.
• Networks: Network graphs: matrices associated with graphs; incidence, fundamental cut set and fundamental circuit matrices. Solutions methods: nodal and mesh analysis. Network theorems: superposition, Thevenin’s and Norton’s maximum power transfer, Star-Delta transformation. Steady-state sinusoidal analysis using phasors. Linear constant coefficient differential equations; time domain analysis of simple RLC circuits. Solution of Network equations using Laplace transforms, frequency domain analysis of RLC circuits, 2-port network parameters; driving point and transfer functions. State equations for networks.
• Microprocessors & Microcontrollers: Introduction to microprocessors and microcomputers: Function, architecture, programming of 8086 microprocessor, interfacing of RAM and EPROM, I/O addressing, I/O mapped I/O, and memory-mapped I/O schemes, instruction execution, fetch/execute cycle, instruction timings and operation status. Memory organization, program memory, data memory, direct & indirect addressing area, addressing modes, instruction set – arithmetic, logical and data transfer instructions. Machine cycles – interrupts, interrupt handling, single-step operation, port bit latches and buffers, port structures and operation, accessing external memory. Timers, serial interface, I/O ports, timing, Microcontroller 8051 – Architecture, configurations, internal block schematic, program protection modes. I/O interfaces with a microcontroller, Real-Time Control Issues, Embedded Processing – Evolution, Issues and Challenges, Von Neumann, Harvard and their variants, Memory Architecture and Devices, Input, Output Devices and Mechanisms, PLA, PAL, PLDs.
• Computer Architecture And Organization: Basics of Digital Electronics, Register Transfer and Micro operations, Basic Computer Organization, Control Unit, Central Processing Unit, Computer Arithmetic, Input-Output Organization, Memory Unit, Introduction to Parallel Processing.

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