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GATE Computer Science And Information Technology Syllabus

GATE Computer Science Exam Syllabus

GATE Computer Science and Information Technology  – CSE exam’s detailed syllabus is available here. You are also downloading GATE Computer Science and Information Technology – CSE Syllabus PDF.

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Section1: Engineering Mathematics

Discrete Mathematics:

  1. Propositional and first-order logic.
  2. Sets, relations, functions, partial orders and lattices.
  3. Groups.
  4. Graphs: connectivity, matching, colouring.
  5. Combinatory: counting, recurrence relations, generating functions.

 

Linear Algebra:

  1. Matrices, determinants, the system of linear equations, eigenvalues and eigenvectors, LU decomposition.

 

Calculus:

  1. Limits, continuity, and differentiability. Maxima and minima. Mean value theorem.
  2. Integration.

 

Probability:

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

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