GATE Syllabus for Computer Science and IT

Thursday, December 28, 2017

Sections/UnitsTopics
Section AEngineering Mathematics
Unit 1Discrete Mathematics
Unit 2Linear Algebra
Unit 3Calculus
Unit 4Probability
Section BDigital Logic
Section CComputer Organization and Architecture
Section DProgramming and Data Structures
Section EAlgorithms
Section FTheory of Computation
Section GCompiler Design
Section HOperating System
Section IDatabases
Section JComputer Networks

Course Syllabus

Section A: Engineering Mathematics
Unit 1: Discrete Mathematics
  • Propositional and first order logic
    • Sets
    • Relations
    • Functions
    • Partial orders
    • Lattices
  • Groups
  • Graphs −
    • Connectivity
    • Matching
    • Coloring
  • Combinatorics −
    • Counting
    • Recurrence relations
    • Generating functions
  • Unit 2: Linear Algebra
  • Matrices
  • Determinants
  • System of linear equations
  • Eigenvalues and eigenvectors
  • LU decomposition
  • Unit 3: Calculus
  • Limits, continuity and differentiability
  • Maxima and minima
  • Mean value theorem
  • Integration
  • Unit 4: Probability
  • Random variables
  • Uniform, normal, exponential, poisson and binomial distributions
  • Mean, median, mode and standard deviation
  • Conditional probability
  • Bayes theorem
  • Section B: Digital Logic
  • Boolean algebra
  • Combinational and sequential circuits
  • Minimization. Number
  • representations and computer arithmetic (fixed and floating point)
  • Section C: 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 D: Programming and Data Structures
  • Programming in C
  • Recursion
  • Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs
  • Section E: Algorithms
  • Searching, sorting, hashing
  • Asymptotic worst case time and space complexity
  • Algorithm design techniques −
    • Greedy
    • Dynamic programming
    • Divide-and-conquer
  • Graph search, minimum spanning trees, shortest paths
  • Section F: 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 G: Compiler Design
  • Lexical analysis, parsing, syntax-directed translation
  • Runtime environments
  • Intermediate code generation
  • Section H: Operating System
  • Processes, threads, inter-process communication, concurrency and synchronization
  • Deadlock
  • CPU scheduling
  • Memory management and virtual memory
  • File systems
  • Section I: 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 J: 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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