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  • Category: Professional Courses

    What are the important subjects for the preparation of GATE?


    Planning to give GATE exam? Searching for the important subjects for this exam preparation? Find advice from experts on this page.

    As a Computer science student I want to know about the key subjects for getting admission in the celebrated institutes over the India. I have some required knowledge to prepare for the GATE but according to me that knowledge is deficient for achieving my dream.
    Experts: do respond.
  • #139359
    As you are a computer science student I am going to provide the best books
    for GATE Exam
    preparation based on the
    following important
    considerations.
    a. Strictly covers the GATE
    syllabus
    b. Easy to learn and
    understand the concepts
    c. Popularity and Standard
    book
    d. Recommended by GATE
    Toppers and ons.

    There are a lot of books for your dream on GATE.
    1. Computer
    Networking

    Author's Name:
    James F. Kurose, Keith W.
    Ross,
    Edition: 6
    2. Operating
    System Concepts

    Author's
    Name: Silberschatz, Galvin,
    Gagne,
    Edition: 8
    3. Database
    System Concepts

    Author's
    Name: Silberschatz,
    Sudarshan, Korth,
    Edition: 6
    4. The C
    Programming
    language

    Author's Name: Brian W. Kernighan ,
    Dennis M. Ritchie,
    Edition: 2
    5. Classic Data
    Structures

    Author's Name: Debasis
    Samanta,
    Edition: 2.

  • #139424
    GATE means GRADUATE APTITUDE TEST IN ENGINEERING. Website: http://www.gate.iitr.ernet.in/
    GATE Syllabus:
    Syllabus for General Aptitude (GA)
    (COMMON TO ALL PAPERS)
    Verbal Ability: English grammar, sentence completion, verbal analogies, word groups, instructions, critical reasoning and verbal deduction.
    Numerical Ability: Numerical computation, numerical estimation, numerical reasoning and data interpretation.

    Numerical Ability:
    Section1: Engineering Mathematics
    Discrete Mathematics: Propositional and first order logic. Sets, relations, functions, partial orders and lattices. Groups.
    Graphs: connectivity, matching, coloring. Combinatorics:
    counting, recurrence relations, generating functions.
    Linear Algebra: Matrices, determinants, system of linear equations, eigenvalues and eigenvectors, LU decomposition.
    Calculus: Limits, continuity and differentiability. Maxima and minima. Mean value theorem. Integration.
    Probability: Random variables. Uniform, normal, exponential, poisson and binomial distributions. Mean, median, mode and standard deviation. Conditional probability and Bayes theorem.

    Computer Science & EngineeringTechnical Ability:
    Section 2: Digital Logic Boolean algebra. Combinational and sequential circuits. Minimization. Number representations and computer arithmetic (fixed and floating point).
    Section 3: Computer Organization and Architecture Machine instructions and addressing modes. ALU, data-path and control unit. Instruction pipelining. Memory hierarchy: cache, main memory and secondary storage; I/O interface (interrupt and DMA mode).
    Section 4: Programming and Data Structures Programming in C. Recursion. Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs.
    Section 5: Algorithms Searching, sorting, hashing. Asymptotic worst case time and space complexity. Algorithm design techniques: greedy, dynamic programming and divide-and-conquer. Graph search, minimum spanning trees, shortest paths.
    Section 6: Theory of Computation Regular expressions and finite automata. Context-free grammars and push-down
    automata. Regular and contex-free languages, pumping lemma. Turing machines and undecidability.
    Section 7: Compiler Design Lexical analysis, parsing, syntax-directed translation. Runtime environments. Intermediate
    code generation.
    Section 8: Operating System Processes, threads, inter-process communication, concurrency and synchronization. Deadlock. CPU scheduling. Memory management and virtual memory. File systems. 21 of 72
    Section 9: Databases ER-model. Relational model: relational algebra, tuple calculus, SQL. Integrity constraints, normal forms. File organization, indexing (e.g., B and B+ trees). Transactions and concurrency control.
    Section 10: Computer Networks Concept of layering. LAN technologies (Ethernet). Flow and error control techniques,
    switching. IPv4/IPv6, routers and routing algorithms (distance vector, link state). TCP/UDP and sockets, congestion control. Application layer protocols (DNS, SMTP, POP, FTP, HTTP).
    Basics of Wi-Fi. Network security: authentication, basics of public key and private key cryptography, digital signatures and certificates, firewalls.
    There are different GATE guide books:
    GK publication, Satya publication etc.


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