NIC Recruitment 2023: National Informatics Centre (NIC), The National Institute of Electronics and Information Technology (NIELIT) has released the recruitment notification for the post of Scientist B, Scientific Officer/Engineer SB, and Scientific/Technical Assistant A for the year 2023. Candidates who are interested in applying for these posts must be aware of the exam pattern and syllabus to prepare effectively. The selection process for the NIELIT recruitment includes a written examination followed by an interview. The written examination will consist of multiple-choice questions (MCQs) and will cover various subjects such as reasoning, quantitative aptitude, general awareness, and technical knowledge. In this article, we will discuss the detailed exam pattern and syllabus for the NIC NIELIT recruitment 2023.
NIC Recruitment 2023 Exam Pattern
For Scientist ‘B’ and Scientific Officer/Engineer-SB posts written examination for these posts will be conducted in online mode and will consist of 120 multiple choice questions to be answered in a maximum time of 3 hours. The question paper will have 65% technical area questions and 35% generic area questions.
Each question will carry one mark, and there will be a negative marking of 0.25 marks for each wrong answer.
The minimum percentage to qualify the written examination is 50% for General/EWS, 40% for OBC, and 30% for SC/ST/PWD categories.
For Scientific/Technical Assistant- A Post the selection process includes only the written examination.
NIC Recruitment 2023 Syllabus
The detailed NIC Recruitment 2023 Syllabus has been mentioned below. Candidates have a look at the NIC Recruitment 2023 Syllabus and prepare accordingly.
Syllabus for Recruitment Exam for the Post of Scientist-‘B’
Section A: Generic
Logical Reasoning, Analytical Reasoning Capabilities, Quantitative and Qualitative Abilities,
Section B: Technical (Computer Science)
Technical (Computer Science) 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
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, Node Js, 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-
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, NoSQL Databases, question 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), 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
Syllabus for Recruitment Exam for the Post of Scientific Officer, Engineer-SB and 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, Encode, 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 data-path, 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.
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.
Object Oriented Programming: Object Oriented design concept, programming in C++ and
on programming languages viz. Java, .Net, Open Source (PHP), Python, GoLang, Node Js, etc.
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, NP-hard, 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 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,
Computer Networks: IOS/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
NIC Recruitment 2023 Exam Centers Details
Choice of Centre of Written Examination: Candidates shall indicate their choice of Centre for Written Examination from the cities listed below. No change of Centre will be permissible at a later date.
1.Agartala 2. Ahmedabad 3. Aizawl 4. Bengaluru 5. Bhopal 6. Bhubaneswar 7. Chandigarh 8. Chennai 9. Dehradun 10. Delhi Gangtok 12. Guwahati 13. Hyderabad 14. Imphal 15. Itanagar 16. Jaipur 17. Jammu 18. Kochi 19. Kohima 20. Kolkata 21. Lucknow 22. Mumbai 23. Patna 24. Raipur 25. Ranchi 26. Shillong 27. Shimla 28. Port-Blair 29. Visakhapatnam.
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NIC Recruitment 2023 Exam Pattern and Syllabus Details 2023 FAQs
What is the exam pattern for the NIC Recruitment 2023 written exam?
The written exam will consist of two papers: Paper-I and Paper-II. Paper-I will be objective type and Paper-II will be descriptive type.
What is the syllabus for Paper-I of the NIC Recruitment 2023 written exam?
The syllabus for Paper-I will include topics such as General Awareness, Logical Reasoning, Quantitative Aptitude, and English Language.
What is the syllabus for Paper-II of the NIC Recruitment 2023 written exam?
The syllabus for Paper-II will include topics such as Computer Science, Information Technology, and Electronics & Communication Engineering
Is there any negative marking in the NIC Recruitment 2023 written exam?
Yes, there will be a penalty of 0.25 marks for each wrong answer in Paper-I.
What is the duration of the NIC Recruitment 2023 written exam?
The duration of the written exam will be 3 hours.