GATE SYLLABUS 2022 (CS & IT Engineering)

CS Computer Science and Information Technology


Section 1: Engineering Mathematics

Discrete Mathematics: Propositional and first order logic. Sets, relations, functions, partial orders and

lattices. Monoids, 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 and Statistics: 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,

pipeline hazards. 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 traversals, 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. Local optimisation, Data flow analyses: constant propagation, liveness analysis,

common subexpression elimination.


Section 8: Operating System

System calls, processes, threads, inter-process communication, concurrency and synchronization.

Deadlock. CPU and I/O 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: OSI and TCP/IP Protocol Stacks; Basics of packet, circuit and virtual circuitswitching;

Data link layer: framing, error detection, Medium Access Control, Ethernet bridging;

Routing protocols: shortest path, flooding, distance vector and link state routing; Fragmentation and

IP addressing, IPv4, CIDR notation, Basics of IP support protocols (ARP, DHCP, ICMP), Network

Address Translation (NAT); Transport layer: flow control and congestion control, UDP, TCP, sockets;

Application layer protocols: DNS, SMTP, HTTP, FTP, Email.

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