नमस्कार दोस्तों इस पोस्ट में आपको NIC के साइंटिस्ट बी के सीलबस पर चर्चा करने वाला हु
Syllabus for Scientist - ‘B’
Section A : Generic 35%
1 Logical Reasoning, Analytical Reasoning Capabilities, Quantitative and
Qualitative abilities, General Aptitude.
Section B : Technical (Computer Science) 65%
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.
1 of 4
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-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.
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, lnter-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, questions 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,
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.
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.
एक टिप्पणी भेजें
एक टिप्पणी भेजें