GATE Computer Science and Information Technology Question Paper, Books, Syllabus

The Graduate Aptitude Test in Engineering is an examination that primarily tests the comprehensive understanding of various undergraduate subjects in engineering and science for admission into the Masters Program of institutes as well as jobs at Public Sector Companies
GATE Computer Science and Information Technology Question Paper
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GATE Computer Science and Information Technology Question Paper : Available Now
GATE Computer Science and Information Technology Syllabus
GENERAL APTITUDE
Verbal Ability : English Grammar, Sentence Completion, Verbal Analogies, World Groups Instructions, Critical Reasoning, and Verbal Deduction, etc.
Numerical Ability : Numerical Computation, Numerical Estimation, Numerical Reasoning and Data Interpretation, etc.
Computer Science and Information Syllabus
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.
DIGITAL LOGIC : Boolean algebra, Combinational and sequential circuits. Minimization. Number representations and computer arithmetic (fixed and floating point).
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).
PROGRAMMING AND DATA STRUCTURES : Programming in C, Recursion. Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs.
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.
THEORY OF COMPUTATION : Regular expressions and finite automata. Context-free grammars and push-down automata. Regular and context-free languages, pumping lemma. Turing machines and undecidability.
COMPILER DESIGN : Lexical analysis, parsing, syntax-directed translation. Runtime environments. Intermediate code generation.
OPERATING SYSTEM : Processes, threads, inter‐process communication, concurrency, and synchronization. Deadlock. CPU scheduling. Memory management and virtual memory. File systems.
DATABASESER : 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.
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.
GATE 2021 Computer Science Exam Pattern
Duration : 180 Mint
Negative Mark : 0.66
 
Section No. of Questions Marks Marks/Questions Total Marks
General Aptitude 5
5		 5
5		 1
2		 5
10
Technical, Engineering, Mathematics 25
30		 25
30		 1
2		 25
60
Total 65     100

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