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GATE Exam Tutorial

Last Updated : 26 Jul, 2025
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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. The exam serves as a gateway for admissions to postgraduate programs and recruitment in public sector undertakings (PSUs).

This tutorial contain detailed sources for GATE CS & IT and GATE DA preparation.

Table of Content

GATE CS

GATE CSE is a subject-specific examination that evaluates a candidate’s understanding of core concepts in Computer Science and Information Technology, including topics such as Data Structures, Algorithms, Operating Systems, Computer Networks etc.

1. Digital Logic

Digital Logic in GATE CSE carries an average weightage of 4-6 marks with 3-5 questions, covering topics like number systems, logic gates, combinational & sequential circuits, and K-map simplification.

Follow the links below to prepare effectively for the GATE exam, including PYQ quizzes, last-minute notes, and topic-wise tutorials:

2. Discrete Mathematics

Discrete Mathematics in GATE CSE carries an average weightage of 8-10 marks with around 5-7 questions, covering topics like set theory, relations, functions, propositional and predicate logic, combinatorics, recurrence relations, and graph theory.

Follow the links below to prepare effectively for the GATE exam, including PYQ quizzes, last-minute notes, and topic-wise tutorials:

3. Computer Organization & Architecture

Computer Organization & Architecture (COA) in GATE CSE carries an average weightage of 7-9 marks with around 4-6 questions, covering topics like number systems, instruction formats, addressing modes, micro-operations, pipelining, memory hierarchy, and I/O organization.

Follow the links below to prepare effectively for the GATE exam, including PYQ quizzes, last-minute notes, and topic-wise tutorials:

4. C Programming

C Programming in GATE CSE covers fundamental concepts like data types, operators, control structures, functions, recursion, pointers, arrays, and strings, typically contributing to 2-3 questions worth 3-4 marks.

Follow the links below to prepare effectively for the GATE exam, including PYQ quizzes, last-minute notes, and topic-wise tutorials:

5. Data Structures

Data Structures in GATE CSE includes topics such as stacks, queues, linked lists, trees, graphs, hashing, and recursion, generally contributing 3-5 questions worth 7-8 marks.

Follow the links below to prepare effectively for the GATE exam, including PYQ quizzes, last-minute notes, and topic-wise tutorials:

6. Algorithms

Algorithms in GATE CSE covers important topics like sorting, searching, greedy algorithms, divide and conquer, dynamic programming, graph algorithms (BFS, DFS, shortest paths), typically contributing 4-6 questions worth 8–10 marks.

Follow the links below to prepare effectively for the GATE exam, including PYQ quizzes, last-minute notes, and topic-wise tutorials:

7. Theory of Computation

Theory of Computation (TOC) in GATE CSE covers topics like regular languages, finite automata, context-free grammars, pushdown automata, Turing machines, decidability, and complexity theory, usually contributing 3-4 questions worth 6-7 marks.

Follow the links below to prepare effectively for the GATE exam, including PYQ quizzes, last-minute notes, and topic-wise tutorials:

8. Compiler Design

Compiler Design in GATE CSE covers topics like lexical analysis, syntax analysis (parsing), semantic analysis, intermediate code generation, optimization, and code generation, generally contributing 2-3 questions worth 4-6 marks.

Follow the links below to prepare effectively for the GATE exam, including PYQ quizzes, last-minute notes, and topic-wise tutorials:

9. Operating System

Operating Systems (OS) in GATE CSE covers topics like process management, threads, synchronization, deadlocks, memory management, paging, segmentation, and file systems, typically contributing 4-6 questions worth 8-10 marks.

Follow the links below to prepare effectively for the GATE exam, including PYQ quizzes, last-minute notes, and topic-wise tutorials:

10. Databases

Databases (DBMS) in GATE CSE covers topics like ER modeling, relational algebra, SQL queries, normalization, transactions, indexing, and recovery techniques, typically contributing 3-4 questions worth 5-7 marks.

Follow the links below to prepare effectively for the GATE exam, including PYQ quizzes, last-minute notes, and topic-wise tutorials:

11. Computer Networks

Computer Networks (CN) in GATE CSE covers topics like OSI and TCP/IP models, switching, IP addressing, routing algorithms, transport protocols (TCP/UDP), flow and error control, and network security, generally contributing 3-5 questions worth 6-8 marks.

Follow the links below to prepare effectively for the GATE exam, including PYQ quizzes, last-minute notes, and topic-wise tutorials:

12. Engineering Mathematics

Engineering Mathematics (excluding Discrete Mathematics) in GATE CSE covers topics like linear algebra, calculus, probability, statistics, and numerical methods, usually contributing 3-5 questions worth 6-8 marks.

Follow the links below to prepare effectively for the GATE exam, including PYQ quizzes, last-minute notes, and topic-wise tutorials:

GATE DA

GATE DA is a specialized examination that assesses a candidate’s knowledge of core concepts in Data Science, Machine Learning, Artificial Intelligence, and related mathematical foundations, covering topics such as Probability and Statistics, Linear Algebra, Machine Learning Algorithms, Data Engineering, and Artificial Intelligence.

1. Mathematics

Mathematics in GATE DA covers fundamental topics including Linear Algebra (matrices, vectors, eigenvalues), Calculus (limits, derivatives, integrals), and Probability & Statistics (distributions, expectation, variance, Bayes theorem), typically contributing 30-35 marks, making it a crucial section for scoring.

2. Programming Data Structures and Algorithm

Programming, Data Structures, and Algorithms in GATE DA cover fundamental concepts such as basic programming constructs, arrays, linked lists, stacks, queues, trees, graphs, recursion, and algorithm design techniques, typically contributing around 20 marks with questions focused on problem-solving and implementation.

3. Machine Learning

Machine Learning in GATE DA covers topics like supervised and unsupervised learning, regression, classification, clustering, decision trees, support vector machines, and evaluation metrics, typically contributing 15–20 marks with questions focused on concepts and applications.

4. Artificial Intelligence

Artificial Intelligence in GATE DA covers topics such as search algorithms, knowledge representation, reasoning, planning, and problem-solving techniques, typically contributing 8–12 marks with questions focusing on core AI concepts and methods.

5. Database Management and Warehousing

Database Management and Warehousing in GATE DA covers topics like ER modeling, relational databases, SQL queries, normalization, data warehousing concepts, and ETL processes, typically contributing 6-8 marks with questions on database design and data management techniques.

General Aptitude for GATE CS and GATE DA

General Aptitude in GATE CSE & GATE DA includes topics like verbal ability, numerical ability, reasoning, and data interpretation, usually contributing 10 questions worth 15 marks.

Follow the links below to prepare effectively for the GATE exam, including PYQ quizzes, last-minute notes, and topic-wise tutorials:

Do you want to crack GATE Exam? Explore our GATE Courses curated by experts.


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