What is the NIC Syllabus 2023?

The detailed syllabus for NIC Recruitment is given in the article above.

What is the exam date for NIC Exam?

The NIC Exam date has not been announced as of yet.

What is the selection process in NIC Exam?

The candidates appearing for NIC Scientist B will have to appear for Online Exam and interview. While for Scientist A the candidates will have to appear only for the online exam.

Is there negative marking in NIC Exam?

Yes, there is a negative marking in the examination. There is a negative marking of 0.25 mark for each wrong answer.

NIC Syllabus 2023, Detailed Syllabus and Exam Pattern |

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NIC Syllabus 2023

National Information Commission has released the recruitment notification for 598 posts for Scientists. NIC Syllabus and exam pattern is a must to clear the NIC Examination. The syllabus and exam pattern is helpful to prepare in an organized manner. As per the official notification, there are two stages for the Scientist B Examination- written examination and interview round. The written exam for Scientist B has two sections namely – General and Technical. It is mandatory to have detailed information on the NIC Syllabus and exam patterns. The article below has the detailed NIC Syllabus 2023 and exam pattern.

NIC Syllabus and Exam Pattern

NIC Syllabus is essential for planning and organizing preparation. The candidates with prior information on the syllabus will definitely be able to take an edge over the others. The syllabus and exam pattern is useful in time management. As the online written exam is compulsory and has two sections Generic and Technical. Here in this post, we have covered the NIC Syllabus 2023 in detail.

NIC Syllabus 2023 Overview

For your benefit, we have provided here NIC Syllabus 2023 and exam overview. The overview of the NIC Exam is as follows.

NIC Syllabus 2023: Overview
Organization	National Institute of Electronics and Information Technology (NIELIT)
Exam Name	NIC Exam 2023
Post	Scientist, Scientific Officer Engineer, Scientific/Technical Assistant
Vacancy	598
Category	Government Job
Job Location	All Across India and Outside India
Application Mode	Online
Selection Process	Depends upon the post
Official Website	https://www.calicut.nielit.in/nic23/
NIC Syllabus 2023	Check This Post in Hindi

NIC Exam Pattern

The NIC Syllabus 2023 along with a detailed exam pattern is listed on the official notification. But now you need not visit the official notification again and again. The exam will be held for two posts and the selection process for them is as given here.

NIC Post	Selection Process
Scientist A	Only Online Written Exam
Scientist B	Online Written Exam With Interview

NIC Exam Pattern For Written Test

The candidates must note that the exam has two sections – Gneric and Technical. The detailed exam pattern for the recruitment is given below.

The question paper would consist of 120 multiple Choice Questions (MCQs).
The total duration of the exam is 3 hours.
The question paper will have 65% questions from Technical Area and 35% questions from Generic Area.
Every question is for 1 mark.
There is a negative marking of 0.25 mark for each wrong answer.

NIC Syllabus 2023: Exam Pattern
Section	Technical	Generic	Total	Time
No. of questions	78	42	120	3 hours

NIC Syllabus 2023 for Scientist ‘B’

The detailed NIC syllabus as per the recruitment notification is given below. You must note that the technical questions have more weightage so you should prepare accordingly. Here is the list detailed NIC Syllabus 2023

NIC Syllabus 2023 Scientist ‘B’ : Topic Wise
Section A: Generic
S. No	Topics
1.	Logical Reasoning Analytical Reasoning Capabilities Quantitative and Qualitative Abilities General Aptitude
NIC Scientist ‘B’ Syllabus 20223 Section B: Technical(Computer Science)
1.	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
2.	Digital Logic: Logic functions, Minimization, Design and synthesis of combinational and sequential circuits, Number representation and computer arithmetic (fixed and floating point).
3.	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.
4.	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.
5.	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
6.	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.
7.	Algorithms: Analysis, Asymptotic, notation, Notions of space and time complexity, Worst and average case analysis, Design; Greedy approach, Dynamic programming, Divide-andconquer, 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, NPcomplete
8.	Compiler Design: Lexical analysis, Parsing, Syntax directed translation, Runtime environments, Intermediate and target code generation, Basics of code optimization
9.	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,
10.	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
11.	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.
12.	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.
13.	Web Technologies: HTML5, CSS3, XML basic concept of client-server computing, web server, proxy server, web application development, MVC architecture, web services, frontend technologies.
14.	Cyber Security and Emerging Technologies: Secure programming techniques, OWASP top 10 vulnerabilities, Concepts on IOT, Block Chain, AI, etc.
15.	Cloud Technology: Compute, Network, Storage Management Technologies, Edge Computing, etc.

NIC Syllabus 2023 Scientist ‘A’

The syllabus for Scientist A is similar to scientist B, but a few technical topics vary in both, Here are the details of NIC Syllabus 2023 for Scientist B

Sl. No.	Topic
NIC Syllabus Section A: Generic 35%
Logical Reasoning, Analytical Reasoning Capabilities, Quantitative and Qualitative abilities, 1 General Aptitude.
NIC Syllabus Section B: Technical (Computer Science) 65%
1.	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.
2.	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.
3.	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.
4.	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.
5.	Object Oriented Programming: Object Oriented design concept, programming in C++ and on programming languages viz. Java, .Net, Open Source (PHP), Python, GoLang, NodeJS, etc.
6.	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
7.	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.
8.	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.
9.	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.
10.	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.
11.	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.