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NIELIT Syllabus 2020: National Institute of Electronics & Information Technology (NIELIT) will conduct Written Examination for Scientist – B and Scientific/ Technical Assistant – A Posts. Candidates who have applied for the Scientist – B and Scientific/ Technical Assistant – A posts in NIELIT need to know the NIELIT Syllabus 2020 and NIELIT Exam Pattern 2020.

National Institute of Electronics & Information Technology (NIELIT) has already released Recruitment Notification for the Scientist – B and Scientific/ Technical Assistant – A Posts. Eligible candidates can apply for NIELIT 2020 Recruitment for the above posts. Candidates, who are going to apply for NIELIT Recruitment 2020, have to appear for the NIELIT Written Exam and Interview. To attend the NIELIT Selection Procedure 2020, candidates need to know about NIELIT Syllabus 2020 and NIELIT Exam Pattern 2020.

To gain good marks and qualify in the NIELIT 2020 Exam, candidates need to check the NIELIT Syllabus 2020. In this article, we have given a brief description of the NIELIT Exam 2020. Only based on the marks scored in the NIELIT 2020, candidates will be selected for the next stage of the NIELIT Recruitment process. The selection will be purely on merit basis only. So candidates are advised to carefully read the NIELIT 2020 Syllabus.

NIELIT Exam Pattern 2020

Type of Exam – Written
Duration – 3 Hours
Medium of Exam – English
Question Type – Objective type and OMR Based

Questions		No.of.Question	Duration	Number of Question
Technical Area	Generic Area	No.of.Question	Duration	Technical Area	Generic Area
65%	35%	120	3 Hours	78	42

NIELIT Syllabus 2020

Syllabus for Scientist – ‘B’

Section A : Generic 35%	Logical Reasoning, Analytical Reasoning Capabilities, Quantitative and Qualitative abilities, General Aptitude
Section B : Technical (Computer Science) 65%
Probability, Statistics and Combinatorics	Conditional Probability; Mean, Median, Mode and Standard Deviation; Random Variables; Distributions; uniforms, normal, Exponential, Poisson, Binomial, Permutations, Combinations, Counting, Summation, generating functions, recurrence relations, asymptotic.
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
Electrical Engineering	Power Electronics, Signals and Systems, Electromagnetic Fields, Network graph, KCL, KVL, Node and Mesh Analysis, Transient response of DC and AC Networks, Sinusoidal steady-state analysis, Resonance, Super position theorem, Maximum Power transfer theorem, Three Phase Circuits, Power and Power factor in AC Circuits
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, Super heterodyne receivers, circuits for analog 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 modern languages viz., Java, .Net , Open Source (PHP), Python, GoLang, NodeJS, etc. 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.
Compiler Design	Lexical analysis, Parsing, Syntax directed translation, Runtime environments, intermediate and target code generation, Basics of code optimization.
Operating System	Processes, Threads, lnter-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, NoSQL Databases, questions on internals of Postgres SQL
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, HTTPS), Basic concepts of hubs, switches, gateways and routers. Wireless technologies, Network security -basic concepts of public key and private key cryptography, digital signature, firewalls
Web Technologies	HTML5, CSS3, XML, basic concept of client-server computing, web server, proxy server, web application development, MVC Architecture, web services, frontend technologies.
Cyber Security and Emerging Technologies	Secure programming techniques, OWASP top 10 vulnerabilities, concepts on IOT, Block chain, AI etc..
Cloud Technology	Compute, Network, Storage Management Technologies, Edge Computing etc

Syllabus for Scientific/Technical Assistant –‘A’

Section A : Generic 35%	Logical Reasoning, Analytical Reasoning Capabilities, Quantitative and Qualitative abilities, General Aptitude
Section B : Technical (Computer Science) 65%
Probability and Statistics	Sampling theorems, Conditional Probability, Mean, Median, Mode and standard deviations, Random Variables discrete and continuous distributions, Poisson, Normal and Binomial distribution, correlation and regression analysis
Digital Computer Principles	Number systems- Binary, Decimal, Octal, and Hexadecimal Conversion, Arithmetic operations, Boolean expression, simplification, Postulates and theorems, Simplifications, K-map, Combinational Logic circuits – Adder, Subtractor, Multiplexer, Demultiplexer, Encoder, Decoder, Sequential circuits – SR, JK, T, D, flip flops, shift registers, Asynchronous, synchronous and Module and counters
Computer Organization and Architecture	Multiprocessors and microcomputers, Machine Instructions and addressing mode. ALU and datapath, CPU control design, Memory interface, I/O interface (Interrupt and DMA mode), Cache and main memory, Secondary storage, Semiconductor memory – Internal organization, SRAM, DRAM, SDRAM, Rambus Memory, ROM Technology, virtual memory, Instruction sequencing, Instruction execution, Hardwired control and microprogrammed control, micro instructions, Instruction pipelining
Object Oriented Programming	Object Oriented design concept, programming in C++ and on programming languages viz., Java, .Net , Open Source (PHP), Python, GoLang, NodeJS, etc
Programming and Data Structures	Programming in C, Functions, Recursion, Parameter passing, Scope, Binding; Abstract data types, Arrays, Stacks, Queues, Linked Lists, Trees, Binary search tress, Binary heaps.
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 Components, 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, N, NP, NPhard, NP-complete
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.
System Software	Lexical analysis, parsing, syntax directed translation, code generation and optimization, Assemblers, linkers and loaders for microprocessors, operating systems – processes, threads, inter-process communication, synchronization, deadlocks, CPU scheduling, memory management and virtual memory , file system, I/O systems, protection and security module
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 and testing, implementation, maintenance
Computer Networks	ISO/OSI stack, LAN technologies (Ethernet, Token Ring), flow and error control techniques, Routing algorithm, Congestion Control, TCP/UDP and sockets, IP(v4), Application layer protocol (ICMP, DNS,SMTP, POP, FTP, HTTP, HTTPS) : Basic concept of hubs, switches, gateways and routers. Network security: basic concepts of public key and private key cryptography. Hash function, Digital Signature, Firewalls, User authentication – Token based, Biometric, Remote user authentication, Intrusion detection systems, honey pots, Denial of Service. Wireless network, 2G and 3G Networks, Bluetooth.
Web Technologies	HTML5, CSS3, XML, basic concept of client-server computing , web server, proxy server, web application development, MVC architecture, web services, frontend and backend technologies

NIELIT Syllabus and Exam Pattern 2020

Candidates can click the direct link to view the NIELIT Notification 2020. In the NIELIT Notification, the NIELIT 2020 Syllabus and NIELIT 2020 Exam Pattern is also listed.