#1
26th November 2014, 01:29 PM
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ONGC syllabus for Computer Science
Will you provide me the syllabus for Computer Science trainee exam of ONGC ?
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#2
27th November 2014, 09:23 AM
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Re: ONGC syllabus for Computer Science
As you want I am here providing you the syllabus for Computer Science trainee exam of ONGC. Syllabus: 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, Microprocessors (8085) – Architecture, Programming and Interfacing. Theory of Computation: Regular languages and finite automata, Context free languages and Push-down automata, Recursively enumerable sets and Turing machines, Undecidability; NPcompleteness. Programming and Data Structures: Programming in C/C++; Functions, Recursion, Parameter passing, Scope, Binding; Classes, Objects, Polymorphism, Abstract data types, Arrays, Stacks, Queues, Linked Lists, Trees, Binary search trees, Binary heaps. Operating Systems: Processes, Threads, Inter-process communication, Concurrency, Synchronization, Deadlock, CPU scheduling, Memory management and virtual memory, Filesystems, I/O systems. 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. Computer Networks: ISO/OSI and TCP/IP stacks, Ethernet, Flow and error control techniques, Routing algorithms, Congestion control, IP(V4) and its addressing schemes, TCP/UDP and sockets, Basic concepts of hubs, switches, gateways, and routers 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. Compiler Design: Lexical analysis, Parsing, Syntax directed translation, Runtime environments, Intermediate and target code generation, Basics of code optimization. |