plez give the detailed syllabus of cs in gate exam

mathematics and all other

  • Raviraj
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  • 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 and Information Technology

    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.

    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. Applica
    tion 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.

     
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  • 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.
    Boolean algebra. Combinational and sequential circuits. Minimization. Number representations and computer arithmetic (fixed and floating point).
    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).
    Programming in C. Recursion. Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs.
    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, and shortest paths.
    Regular expressions and finite automata. Context-free grammars and push-down automata. Regular and contex-free languages, pumping lemma. Turing machines and undecidability.
    Lexical analysis, parsing, syntax-directed translation. Runtime environments. Intermediate code generation.
    Processes, threads, inter‐process communication, concurrency and synchronization.
    Deadlock. CPU scheduling. Memory management and virtual memory. File systems.
    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
    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.
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  • Check the official website always

    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.
    Section 2: Digital Logic
    Boolean algebra. Combinational and sequential circuits. Minimization. Numberrepresentations 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.
    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.
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  • download it from gate website for detailed syllabus
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  • 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, the 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 and Information Technology

    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.

    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. 
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  • GATE CS 2018-19 Syllabus
    Section1: Engineering Mathematics
    Section 2: Digital Logic
    Section 3: Computer Organization and Architecture
    Section 4: Programming and Data Structures 
    Section 5: Algorithms 
    Section 6: Theory of Computation 
    Section 7: Compiler Design
    Section 8: Operating System 
    Section 9: Databases
    Section 10: Computer Networks 


    CS Computer Science and Information Technology
    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 and Information Technology
    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.

    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.
    0

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