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17th November 2014, 08:54 AM
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Join Date: Apr 2013
Re: GATE Computer Science Exam Preparation Books

Here I am providing the list of few books for GATE Computer Science Exam which you are looking for .

Principles of Compiler Design Aho and Ullman
Fundamentals of Data Structures Horowitz. Sahni
Introduction to DS with Applications Trembly and Sorenson
Digital Logic and Computer Design Morris Mano
Database Systems Korth and Sudhershan
Computer Organization Hamacher, Vranesic &Zaky
Computer Architecture and Organization Hayes
Programming Languages Pratt and Zelkewitz
Compilers Aho, Ullman and Sethi
Data Structures Schaum Series
DS and Programming in C Kruse, Tondo and Leung
C Programming Venugopal
Digital Principles and Applications Leach and Malvino
Computer System Architecture Mano
Computer Org. and Architecture William Stallings
C Programming Language Kernighan and Ritchie
System Programming Donovan
System Programming and OS Dhamdhere
Operating Systems Dietel
Operating Systems William Stallings
Operating Systems Milan Milenkovic
OS Concepts Galvin and Silberschatz
Computer Networks Andrew Tanenbaum
Data Communications William Stallings
Engg. Approach to Comp. Networks S Keshav
Introduction to Switching Theory & Logic Design FJ Hill and Peterson
Fundamentals of DBMS Elmasri, Navathe

GATE Computer Science Syllabus

COMPUTER SCIENCE AND INFORMATION TECHNOLOGY

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.

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.

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.

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

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

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.

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.

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 (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. Network security – basic concepts of public key and private key cryptography, digital signature, firewalls


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