GATE Syllabus for Computer Science and Information Technology
This GATE Syllabus repository has been created specifically for those who are going to take the GATE test. It is also beneficial to teachers and other private institutes that provide GATE preparation sessions. They would be able to plan their studies with the help of the syllabus.
The GATE CSE syllabus will guide students in understanding the topics they need study for GATE 2022. Candidates who wish to take the exam next year should familiarize themselves with the GATE computer science syllabus.
The GATE 2022 CSE syllabus is now unavailable. Candidates can, however, begin their preparation by consulting the previous year's syllabus.
The undergraduate engineering course is used to develop the GATE syllabus for CSE. The GATE 2022 CS and IT paper will include aptitude questions as well as sections on Digital Logic, Computer Organization and Architecture, Programming and Data Structures, Algorithms, Theory of Computation, Compiler Design, Operating System, Databases, and Computer Networks.
Candidates should check the GATE test pattern in addition to the curriculum because it will aid them in developing a GATE preparation strategy.
The following sections provide thorough information on the subjects and chapters covered in the GATE CSE syllabus.
GATE Syllabus 2022 Details:
Section A: 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.
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 and divide?and?conquer. Graph search, minimum spanning trees, and shortest paths.
Section F : 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.
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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