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Exam Highlights
  • Exam Name
    NIC Scientist B Recruitment Exam
  • Mode of Conduction
    Offline
  • Exam Duration
    3 hours
  • Exam Frequency
    Annually
  • Official Website
    https://www.nic.in
  • Total Marks
    120
  • Total No. of Questions
    120
  • Medium of the exam
    English
  • Marking Scheme
    Marking Scheme: Each correct answer will receive one point. Negative marking: For each erroneous response, 0.25 points will be deducted.
  • Exam Dates
    Yet to be announced
Eligibilty Criteria

Educational Qualifications

  • AMIE/GIETE OR MSc OR MCA OR ME/M.Tech OR M.Phil in Electronics, Electronics and Communication, Computer Sciences, Communication, Computer and Networking Security, Computer Application, Software System, Information Technology, Information Technology Management, Informatics, Computer Management, Cyberlaw, Electronics and Instrumentation

Age Limit

The following are the upper age limits for the post-Scientist-'B'

  • Candidates from the UR / EWS category must be at least 30 years old. Candidates from the SC / ST category must be at least 35 years old.
  • The OBC (NCL*) should be 33 years old.
  • PWD SC/ST must be 40 years old, and PWD OBC (NCL) must be 43 years old.
  • The candidate for the service category should be 35 years old. SC/ST service candidates must be 40 years old, while OBC (NCL) service candidates must be 38 years old.
  • The age of ex-servicemen will be determined by government regulations.
Exam Pattern
  • The exam will be administered using an optical mark reader (OMR) (Offline mode).
  • The Exam will consist of multiple-choice questions.
  • Number of Questions: There will be a total of 120 objective-type questions, including 78 in the Technical Area (Computer Science) and 42 in the Generic Area.
  • Marking Scheme: Each correct answer will receive one point.
  • Negative marking: For each erroneous response, 0.25 points will be deducted.
Syllabus

Candidates who wish to apply for the NIC Scientist B must be familiar with the exam syllabus. Knowing the syllabus ahead of time can allow candidates to get a head start on their preparations. The syllabus is available to candidates below:

Sections Topics
Logical Reasoning Blood Relations, Clock and Calendar, Ordering & Ranking, Directions & Distances, Arranging words in Meaningful order
Quantitative and Qualitative abilities Number system, Profit and Loss, Work & Time, Time & Distance, Simple Interest & Compound Interest
Analytical Reasoning Capabilities Ranking & Time Sequence, Analogy & Data Sufficiency, Input-Output, Syllogisms
General Aptitude General knowledge Current Affairs
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, Superposition theorem, Maximum Power transfer theorem, Three Phase Circuits, Power and Power factor in AC Circuit
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 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 band, 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 the 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, the 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, Blockchain, AI
Cloud Technology Computer, Network, Storage Management Technologies, Edge Computing

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