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VOOZH | about |
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VOOZH | about |
The Graduate Aptitude Test in Engineering (GATE) is a national-level exam in India, jointly conducted by the Indian Institute of Science (IISc) and seven Indian Institutes of Technology (IITs) on a rotational basis. GATE 2026 is scheduled to be organized by IIT Guwahati.
This computer-based exam assesses the technical aptitude of engineering graduates. A good GATE score opens doors to postgraduate programs like Master of Technology (MTech) or Master of Engineering (ME) at prestigious institutions, as well as job opportunities in Public Sector Undertakings (PSUs).
Do you want to crack GATE Exam? Explore our GATE Courses curated by experts.
The GATE Computer Science exam is generally conducted in the first or second week of February, and the GATE score is valid for 3 years. Stay tuned to our website for all the information regarding the GATE 2026 Exam. The GATE exam is conducted once a year. The GATE exam consists of 65 questions, including 10 General Aptitude and 55 core subject questions. The duration of the exam is 3 hours.
Check out our official GATE CS 2025 Quizzes:
There are three types of questions that come into the GATE exam:
This GATE CS tutorial presents the syllabus in a well-structured manner. Each subject is organised systematically, with topic-wise articles based on the official GATE syllabus.
General Aptitude is common to all GATE papers and evaluates a candidate’s verbal and numerical ability. The syllabus and important topics for the GATE CSE exam are given below.
Covers basic English grammar, vocabulary, and reading comprehension skills to test understanding, accuracy, and effective use of the English language.
Basic English Grammar:
Basic Vocabulary:
Focuses on numerical ability, data interpretation, and mathematical concepts such as ratios, percentages, algebra, geometry, statistics, and probability to assess problem-solving and analytical skills.
Data Interpretation:
Numerical Computation and Estimation:
Assesses logical reasoning, pattern recognition, and numerical relationships.
Tests the ability to visualize and mentally manipulate shapes and patterns in 2D and 3D space
The syllabus or important topics of Engineering Mathematics for the GATE CSE exam are provided below.
Covers matrices and their operations, determinants and rank, systems of linear equations, matrix decompositions, eigenvalues and eigenvectors, diagonalization, and methods for finding inverses of matrices.
Deals with uncertainty and random phenomena, covering random variables, probability laws, common probability distributions, measures like mean and variance, and relationships such as covariance and correlation.
Covers limits, ontinuity, differentiation and integration, mean value theorems, series expansions, sequences and series, and applications of derivatives to analyze functions and solve mathematical problems.
The syllabus or important topics of Discrete Mathematics for the GATE CSE exam are provided below.
Focuses on formal reasoning using propositions, predicates, quantifiers, and rules of inference.
Covers set theory and operations, relations and functions, equivalence and order relations, lattices, and basic algebraic structures such as monoids and groups.
Deals with counting techniques, permutations and combinations, inclusion–exclusion principle, binomial coefficients, recurrence relations, and generating functions.
Studies graphs and their properties, including paths and cycles, connectivity, trees, planarity, coloring, matchings, and important theorems for analyzing network structures.
The syllabus or important topics of Data Structures & C Programming for the GATE CSE exam are provided below.
Covers fundamentals of C programming, including data types, variables, operators, functions, pointers, structures, unions, enums, and type casting.
Introduces the concept of functions calling themselves, covering types of recursion and practical applications like Fibonacci series and Towers of Hanoi.
Covers 1D, 2D, and 3D arrays, their memory representation (row-major and column-major), and basic operations.
Focuses on stack data structure, its implementation (using arrays or linked lists), applications, and concepts like infix-to-postfix conversion and postfix evaluation.
Introduces queues, including simple, circular, priority, and double-ended queues, with implementations using arrays, linked lists, or stacks.
Explains linked lists, including singly, doubly, and circular linked lists, with operations like insertion, deletion, and traversal.
Basic concepts, terminology, and structure of trees in data structures.
Covers BST concepts, insertion, deletion, AVL trees, and tree traversal methods.
Covers Binary heap concepts, construction time complexity, and advantages and disadvantages of using heaps.
Introduces graphs, types of graphs, their representations, BFS and DFS traversal, basic properties, and practical applications.
Explains hashing, hash functions, types, and collision resolution techniques like chaining, linear probing, quadratic probing, and double hashing.
The syllabus or important topics of Algorithms for the GATE CSE exam are provided below.
Studies the efficiency of algorithms in terms of time and space complexity, including best, worst, and average cases.
Expresses the runtime of recursive algorithms and methods to solve them.
Divide and Conquer Solving problems by breaking them into smaller subproblems, solving recursively, and combining results.
Solves optimization problems using locally optimal choices, including activity selection, job sequencing, Huffman coding, fractional knapsack, file merge, MST (Kruskal’s & Prim’s), and Dijkstra’s shortest path algorithms.
Graph Algorithms Covers graph traversal (BFS, DFS), cycle detection, topological sorting, shortest path algorithms (Bellman–Ford, Floyd-Warshall, k-edge paths), connectivity, biconnected components, articulation points, bridges, and transitive closure.
Dynamic Programming Solves problems with overlapping subproblems and optimal substructure, including LCS, matrix chain multiplication, 0-1 knapsack, min cost path, subset sum, shortest paths, and combinatorial calculations.
Covers fundamental searching (linear, binary), sorting algorithms (selection, bubble, insertion, merge, quick, heap, counting), and hashing techniques for efficient data access and organization
The syllabus or important topics of the Theory of Computation for the GATE CSE exam are provided below.
Covers finite automata (DFA & NFA) design, regular expressions, regular languages and grammars, Chomsky hierarchy, pumping lemma, Mealy and Moore machines, and operations like union, concatenation, and minimization.
Covers Turing machines and their construction for various languages, recursive and recursively enumerable languages, halting problem, complexity classes (P, NP, CoNP, NP-hard), decidability, and undecidable problems.
The syllabus or important topics of Compiler Design for the GATE CSE exam are provided below.
Covers compiler design phases, lexical analysis, symbol tables, scoping, error handling, context-free grammars, FIRST and FOLLOW sets, top-down and bottom-up parsing techniques, and syntax-directed translation.
Covers memory management during program execution, including stack and heap allocation, and different parameter passing methods like pass by value, reference, copy-restore, and name.
Covers generation of intermediate representations like three-address code, loop detection, code optimization, object code introduction, and data flow analysis in compiler design.
Focuses on improving code efficiency within a basic block using techniques like constant and copy propagation, constant folding, common subexpression elimination, dead/unreachable code removal, function inlining, strength reduction, code motion, and loop jamming.
The syllabus or important topics of Database Management System for the GATE CSE exam are provided below.
Covers entity-relationship modeling, including recursive relationships, ER diagram minimization, enhanced ER concepts, and mapping ER models to relational databases.
Covers relational database concepts, Codd’s rules, keys (primary, candidate, super, alternate, foreign), relational algebra with extended operators, tuple relational calculus, and solving relational algebra problems.
Covers database normalization, integrity constraints, functional dependencies, attribute closure, superkeys, lossless and dependency-preserving decomposition, canonical cover, multivalued dependencies, and determining the highest normal form of a relation.
Introduces SQL and its components, covering data definition and manipulation, joins, nested queries, clauses (WHERE, HAVING), database objects, views, indexing, and query execution on clustered and non-clustered indexes.
Covers transaction management, ACID properties, recovery techniques, concurrency control, schedules and serializability, deadlocks, lock-based protocols, timestamp ordering, two-phase locking, and implementation strategies in DBMS.
Covers database file organization, sequential files, indexing techniques, hashing, and B-Tree and B+ Tree structures with insertion, deletion, and key differences.
The syllabus or important topics of Computer Networks for the GATE CSE exam are provided below.
Covers basics of computer networking, network goals, topologies, LAN/MAN/WAN, transmission media and modes, line coding schemes, broadband vs baseband, and OSI & TCP/IP models
Covers framing, error detection and correction (Hamming code, ARQ), multiple access and controlled access protocols (Aloha, CSMA/CD, Token Ring), sliding window protocols, MAC addressing, collision avoidance, LAN technologies (Ethernet, switches, routers), and channel capacity concepts.
Covers IP addressing, routing protocols, switching, ARP/RARP, packet and circuit switching, and network diagnostics.
Handles reliable data transfer, congestion control, TCP/UDP protocols, connection management, and multiplexing.
Covers application-layer protocols (DNS, DHCP, SNMP, SMTP, FTP, HTTP), email and file transfer standards, web basics, Wi-Fi technologies, and network devices.
The syllabus or important topics of Operating System for the GATE CSE exam are provided below.
Covers processes, threads and their types, multithreading, multitasking, kernel models, context switching, and system calls like fork() in operating systems.
Covers process synchronization, critical sections, IPC (message queues, shared memory), semaphores, mutexes, monitors, classic synchronization problems (Readers-Writers, Producer-Consumer, Dining Philosophers), priority inversion, and deadlock handling.
Covers deadlock concepts, prevention, avoidance, detection, recovery, resource allocation graphs, and Banker’s Algorithm for safe resource management in operating systems.
Deals with memory allocation, paging, segmentation, partitioning, and kernel memory management.
Covers virtual memory concepts, page faults, page replacement algorithms, thrashing, spooling vs buffering, overlays, and swap space management.
Covers file system structures, directory organization, file access and allocation methods, free space management, file system types (FAT32, exFAT, NTFS), and disk scheduling algorithms like SSTF.
The syllabus or important topics of Digital Logic and Design for the GATE CSE exam are provided below.
Covers logic gates, Boolean algebra properties, Boolean functions, function minimization, canonical forms, functional completeness, Karnaugh maps, implicants, and consensus theorem.
Covers arithmetic circuits (adders, subtractors), code systems (Gray code, BCD), encoders, decoders, multiplexers, demultiplexers, comparators, programmable logic arrays, ROM, and handling static hazards.
Covers flip-flops, synchronous and asynchronous circuits, counters (ring, Johnson, ripple), shift registers, sequence detectors, and flip-flop conversions.
Covers number systems, base conversions, code converters (BCD, Gray), floating-point representation, complements, and arithmetic algorithms like Booth’s multiplication and division methods.
The syllabus or important topics of Computer Organization and Architecture for the GATE CSE exam are provided below.
Covers CPU organization, instruction formats, addressing modes, machine instructions, and basic computer architectures.
Covers ALU functions, data-path design, and control unit types.
Covers pipeline stages, hazards, instruction cycles, and RISC vs CISC architectures.
Covers memory hierarchy, cache organization, locality, CPU cache vs TLB, memory operations, interleaving, and types of RAM and ROM.
Covers I/O methods, interrupts, DMA, bus arbitration, and computer ports.
