GATE Computer Science Syllabus 2022 | Check The Updated Syllabus

GATE Computer Science Syllabus

GATE Computer Science Syllabus 2022: If you are applying for the GATE CS Exam 2022, then you must know the GATE Computer Science Syllabus 2022. To prepare for the exam well and score good marks, you must know the syllabus well too.

In this bog we will cover the GATE Computer Science Syllabus 2022. To know all the details, read the complete blog. 

GATE Computer Science Syllabus 2022

Here you will find the Syllabus for Gate CS Exam 2022 in the tables mentoned below:

GATE Computer Science Syllabus – General Aptitude 


Verbal Aptitude

Basic English Grammar: Tenses, articles, adjectives, prepositions, conjunctions, verb-noun the agreement, and other parts of speech Basic vocabulary: words, idioms, and phrases in context.
Reading and comprehension of 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, and 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.
Engineering Mathematics

Discrete Mathematics:

  • Propositional and first-order logic: Sets, relations, functions, partial
    orders and lattices. Monoids, Groups.
  • Graphs: connectivity, matching, coloring.
  • Combinatorics:  counting, recurrence relations, generating functions.

Linear Algebra: Matrices, determinants, a system of linear equations, eigenvalues and eigenvectors, LU decomposition.

Calculus: Limits, continuity and differentiability. Maxima and minima. Mean value theorem.

Probability and Statistics: Random variables. Uniform, normal, exponential, poisson and binomial distributions. Mean, median, mode and standard deviation. Conditional probability and
Bayes theorem.

Digital Logic
  • Boolean algebra
  • Combinational and sequential circuits
  • Minimization
  • Number representations
  • 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.
  • 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.
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.
  • Data flow analysis
  • Constant propagation
  • Liveness analysis
  • Subexpression elimination
Operating System
  • System Calls, 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.
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.

Here is a list of books to prepare for the GATE CS Exam 2022.

Gate And Pgecet For Computer Science And Information Technology

GATE Computer Science And Information Technology 202

MCQs in Computer Science

Sahitya Bhawan | Pratiyogita Sahitya GATE Previous Years Solved Question Papers For Computer Science & Information Technology

GATE Computer Science And Information Technology

Here is the complete blog on GATE Computer Science Syllabus 2022. To know more about the GATE CS 2022 Exam, ask in the comments. 

FAQs on GATE Computer Science Syllabus 2022

What is the GATE Computer Syllabus 2022?

You can find the syllabus in the above blog.

Can you suggest to me some books for GATE CS 2022 Exam Preparation?

There is a list of recommended books for the preparation of the GATE CS Exam 2022.

From where can I download books for GATE CS Exam 2022 preparation?

You can download the books from Kopykitab.

What is the GATE Official Website? is the GATE Official Website

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