GATE Syllabus 2025 for CSE and IT and the latest gate syllabus updated.

gate 2022 cse and it syllabus

The syllabus is very important for cracking any competitive exam. Without knowing the syllabus, we can not prepare well for any exam. If we want to prepare for any exam, first we need to briefly examine a particular subject’s syllabus and paper pattern.

Learn more about Gate Exam 2025.

The latest Gate CSE and IT (Revised) syllabus is Newly updated.

Section 1: GA (General Aptitude)

Verbal Aptitude

Basic English grammar: tenses, articles, adjectives, prepositions, conjunctions, verb-noun agreement, and other parts of speech
Basic vocabulary: words, idioms, and phrases in context Reading and comprehension Narrative sequencing.

Quantitative Aptitude

Data interpretation: data graphs (bar graphs, pie charts, and other graphs representing data), 2- and 3-dimensional
plots, maps, and tables.
Numerical computation and estimation: ratios, percentages, powers, exponents and logarithms, permutations and
combinations, and series Mensuration and Geometry
Elementary statistics and probability.

Analytical Aptitude

Logic: deduction and induction Analogy, Numerical relations and reasoning


Spatial Aptitude

Transformation of shapes: translation, rotation, scaling, mirroring, assembling, and grouping
Paper folding, cutting, and patterns in 2 and 3 dimensions.

Section 2: Engineering Mathematics.

According to the Gate Computer Science Council, the engineering mathematics section is the same as all engineering branches but follows the mathematics syllabus for mainly computer science branch students.

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 and Statics: Random Variables. Uniform, normal, exponential, Poisson, and binomial distributions. Mean, median, mode, and standard deviation. Conditional probability and Bayes theorem.

Section 3: Computer Science and Information Technology (Core Subjects)

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.

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, pipeline hazards. 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 traversals,
minimum spanning trees, shortest paths

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.

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.

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.

Computer Networks

Concept of layering: OSI and TCP/IP Protocol Stacks; Basics of the packet, circuit, and virtual circuit-
switching;

Datalink 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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