DETAILED ISRO CS SYLLABUS FOR SCIENTIST AND ENGINEERS EXAM

DETAILED ISRO CS SYLLABUS FOR SCIENTIST AND ENGINEERS EXAM

Jinen Sir 5:12 pm

Feb 10 • GATE Syllabus • 266 Views • No Comments on DETAILED ISRO CS SYLLABUS FOR SCIENTIST AND ENGINEERS EXAM

Interested Candidates who have applied for the ISRO Scientist/Engineer SC examination check the detailed ISRO ICRB Scientist Syllabus 2018 on this page. Applicants who are interested in ISRO Central government jobs begin your preparation.ISRO Authority has not separately sent any notification for Syllabus.According to ISRO Authority Syllabus of the written test will be based on the curriculum taught in BE/B.Tech in Mechanical whichever is applicable and the test will be objective type. 

DETAILED ISRO CS SYLLABUS FOR SCIENTIST AND ENGINEERS EXAM

ISRO RECRUITMENT 2018 106 SCIENTIST/ ENGINEER POSTS

The pattern of written test will be:

Name of

exam

No.

of Qs

Marks Time
 

Computer Science

 

80 240

(3 marks

per Qs)

90

Minutes

Detailed ISRO Computer Science  Syllabus for Scientist and Engineers Exam

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.

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Digital Logic:

Logic functions, Minimization, Design and synthesis of combinational and sequential
circuits; Number representation and computer arithmetic (fixed and floating point).

Programming and Data Structures:

Programming in C; Functions, Recursion, Parameter passing, Scope,
Binding; Abstract data types, Arrays, Stacks, Queues, Linked Lists, Trees, Binary search trees, Binary
heaps.

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Theory of Computation:

Regular languages and finite automata, Context free languages and Push-down
automata, Recursively enumerable sets and Turing machines, Undecidability.

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
concepts of complexity classes – P, NP, NP-hard, NP-complete.

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Compiler Design:

Lexical analysis, Parsing, Syntax directed translation, Runtime environments,
Intermediate and target code generation, Basics of code optimization.

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.

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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.

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.

Network security –

basic concepts of public key and private key cryptography, digital signature,
firewalls.

Web technologies:

HTML, XML, basic concepts of client-server computing

Computer Networks:

ISO/OSI stack, LAN technologies (Ethernet, Token ring), Flow and error control
techniques, Routing algorithms, Congestion control, TCP/UDP and sockets, IP(v4), Application layer
protocols (icmp, dns, smtp, pop, ftp, http); Basic concepts of hubs, switches, gateways, and routers.

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