Grammar, Vocabulary, Coding-Decoding & Series, Directions, Blood Relations, Arrangements, Syllogism, Inference & Assumptions, Clocks and Puzzles.
Fundamentals, Equations, Percentage, Averages, Ratio & Propotions, Mixture and Alligations, Data Interpretation & Data Suffiency, Time, Speed & Distance, Time & Work, Set Theory & Venn Diagrams, Progression, Functions & Graphs, Logarthims, Permutations and Combinations, Probability, Geometry & Mensuration.
Propositional and first order logic. Sets, relations, functions, partial orders and lattices. Groups. Graphs: connectivity, matching, coloring. Combinatorics: counting, recurrence relations, generating functions.
Matrices, determinants, system of linear equations, eigenvalues and eigenvectors, LU decomposition.
Limits, continuity and differentiability. Maxima and minima. Mean value theorem. Integration.
Random variables. Uniform, normal, exponential, poisson and binomial distributions. Mean, median, mode and standard deviation. Conditional probability and Bayes theorem.
Boolean algebra. Combinational and sequential circuits. Minimization. Number representations and computer arithmetic (fixed and floating point).
Programming in C. Recursion. Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs.
Searching, sorting, hashing. Asymptotic worst case time and space complexity. Algorithm design techniques: greedy, dynamic programming and divide?and?conquer. Graph search, minimum spanning trees, shortest paths.
Regular expressions and finite automata. Context-free grammars and push-down automata. Regular and contex-free languages, pumping lemma. Turing machines and undecidability.
Lexical analysis, parsing, syntax-directed translation. Runtime environments. Intermediate code generation.
Processes, threads, inter?process communication, concurrency and synchronization. Deadlock. CPU scheduling. Memory management and virtual memory. File systems.
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.
Machine instructions and addressing modes. ALU, data?path and control unit. Instruction pipelining. Memory hierarchy: cache, main memory and secondary storage; I/O interface (interrupt and DMA mode).
Concept of layering. LAN technologies (Ethernet). Flow and error control techniques, switching. IPv4/IPv6, routers and routing algorithms (distance vector, link state). TCP/UDP and sockets, congestion control. Application layer protocols (DNS, SMTP, POP, FTP, HTTP). Basics of Wi-Fi. Network security: authentication, basics of public key and private key cryptography, digital signatures and certificates, firewalls.
Download - GATE 2021 CSE Syllabus (PDF)
Understanding the GATE syllabus with Subject wise weighting analysis will help the candidates set the preparation time for high score subjects. The GATE paper section for the CS & IT exam is divided into three sections and the GATE marks are divided accordingly between Core Subject, Engineering Mathematics and General Aptitude. Check Subject-wise weighting for GATE CS & IT Paper:
GATE SUBJECTS | GATE 2012 | GATE 2013 | GATE 2014 | GATE 2015 | GATE 2016 | GATE 2017 | GATE 2018 | GATE 2019 | GATE 2020 |
---|---|---|---|---|---|---|---|---|---|
Engineering Mathematics* | 18% | 13% | 23% | 19% | 13.75% | 8% | 7% | 6% | 5% |
Discrete Mathematics & Graph Theory | 10% | 9% | 12.7% | 11% | 3.5% | 7% | 12% | 5% | 10% |
Design & Analysis Algorithms | 8% | 8% | 8% | 7.5% | 10.75% | 5.5% | 7% | 7% | 6% |
Programming & Data Structure | 19% | 18% | 13% | 18% | 10.75% | 14.5% | 10% | 12% | 12% |
Digital Logic | 4% | 3% | 5% | 7% | 5% | 5% | 4% | 9% | 4% |
Computer Organization* | 6% | 11% | 8% | 5% | 7% | 9% | 11% | 3% | 11% |
Theory Of Computation | 5% | 8% | 6% | 6% | 9.25% | 9.5% | 7% | 8% | 9% |
Compiler design | 4% | 3% | 3% | 2% | 3.5% | 4% | 6% | 6% | 4% |
Operating Systems* | 9% | 12% | 7% | 8% | 16.5% | 10% | 10% | 10% | 10% |
DBMS* | 11% | 7% | 8% | 5% | 4.75% | 6% | 4% | 8% | 8% |
Computer Networks | 9% | 7% | 9% | 8% | 9% | 6.5% | 7% | 10% | 6% |
General Aptitude* | 15% | 15% | 15% | 15% | 15% | 15% | 15% | 15% | 15% |
1. Check all the Important Topics & Mark them.
2. Collect previous year GATE question paper.
3. Make study notes of most asked questions on important topics.
4. Update yourself with online study notes from the GATE syllabus.
5. Practice complex topics more & more in order to solve them easily for the exam.
6. Prepare calendar on the weekly and monthly basis to study the subjects on the priority basis.
7. Start revision of the most frequently asked topics in the syllabus before 15 days of the exam.
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GATE 2021 Syllabus for CSE (Computer Science Engineering)
Every year, GATE Syllabus remains almost the same as the previous one, but there is a rare chance that GATE Syllabus will be changed. Students who would write the GATE exam must refer the GATE CS and the IT syllabus defined by IIT Bombay to start with GATE Preparation as the questions are formulated in accordance with the official GATE syllabus.
Understanding GATE syllabus prior to starting GATE preparation will help candidates effectively plan the preparation strategy and score better marks. The GATE CS and IT exam paper consists of questions from aptitude and core subjects (CS and IT).
Check the detailed information about topics from GATE CSE Paper here,