GATE Syllabus for CSE - Computer Science Engineering

GATE CSE Syllabus 2023 - Computer Science Engineering

GATE Exam 2023 CSE Syllabus. The GATE 2023 Exam Syllabus is out now. Check Here

14 Apr 2022

GATE is a post-graduate entrance exam conducted for engineering graduates at the All-India level and for International Students who are willing to pursue higher studies in reputed institutions and plan to get placed in core sectors can apply for this exam.

GATE exam is conducted once a year in February, it tests the knowledge and comprehensive skills of the students.

Here is the analysis of the syllabus for the GATE 2023 Exam. Candidates get to know the following sections present in the CS paper:

General Aptitude
Engineering Mathematics
Digital Logic
Computer Organization and Architecture
Programming and Data Structures
Algorithms
Theory of Computation
Compiler Design
Operating System
Databases
Computer Networks

Get the best teaching on the above concepts by experts through GATE Preparation Online

Candidates preparing for the GATE 2023 Computer Science and Information Technology exam can check for the latest updates during their preparation process.

GATE CSE Exam Pattern 2023

GATE exam Application or exam dates haven't been announced yet, and it is expected to disclose the dates in an official notification that will likely be released later this year. The syllabus and exam pattern are expected to be the same as in the last few years.

Type of Questions	Multiple Choice Questions (MCQ); Multiple Select Questions (MSQ); Numerical Answer Type (NAT) Questions
Duration of Exam	3 Hrs
Maximum Marks	100
Total No. of questions	10 (GA) + 55 (subject) = 65 Questions

Section	NO. of Questions	Marks Per Question	Total marks
General Aptitude	10 (MCQ/MSQ/NAT)	1 or 2	15
Computer Science Engineering	25 (MCQ/NAT) 30 (MSQ/NAT)	1 2	25 60
Total	65	-	100

GATE CSE Syllabus 2023

Digital Logic

Boolean algebra. Combinational and sequential circuits. Minimization. Number representations and computer arithmetic (fixed and floating point).

Programming and Data Structures

Programming in C. Recursion. Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, and graphs.

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).

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

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.

Compiler Design

Lexical analysis, parsing, syntax-directed translation. Runtime environments. Intermediate code generation. Local optimization, 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; 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.

Best Books for GATE 2023 CSE

Topics	Authors
Digital Logic and Number representation	Morris Mano
Theory of Computer Science: Automata, Languages and Computation	Mishra K.L.P
Introduction to Algorithm	Thomas H. Cormen
An Introduction to Formal Languages and Automata	Peter Linz
Computer Organisation and Architecture	William Stallings
Operating System Concepts	Galvin
Computer Networks	Andrew S. Tanenbaum & David J. Wetherall
Networks by Fourozon	Fourozon
Database System Concepts	Henry Korth
Discrete Mathematics and its Applications	Kenneth H. Rosen
Logic and Computer Design Fundamentals	Morris Mano
Software Engineering: APractitioner’s Approach	Pressman
Gate Practice Sets	Pearson

How to crack the GATE CSE 2023 exam?

Refer to the Syllabus and the Exam Pattern og GATE 2023

Candidates will need to refer to the latest GATE syllabus and exam pattern as a first step to the GATE CSE preparation strategy. Doing so will help them plan a timetable and study well. It will also help organize the study plan based on marks and topic weight-age.

Solve GATE Previous Year Question Papers – Solving questions or practicing mock tests is how candidates can gain more confidence to face the exams. As the applicants get more used to the question paper design, they can score higher marks. They also learn to manage their time in a better way. Candidates can refer to the ACE Online website for regular Mock Tests and also start solving the previous year's papers.

Choose the right GATE Preparation Books– Selecting the right books for GATE exam preparation is also important. Books explain the subject appropriately and lay the foundation for an effective preparation strategy for the exams.

Stay Focused and Maintain Consistency- Lastly, it is very important for the Candidates to stay calm during every stage of preparation.