GATE 2025 syllabus for Computer Science and Information Technology (CS) gives you details of the latest GATE syllabus for the subject released by the official gate organizing institute IIT Roorkee 2025. We also created an easy-to-use ad-free mobile app for the GATE syllabus, previous year papers with keys, gate calculator, virtual calculator, and more. Download iStudy App for all GATE preparation needs.
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GATE 2025 Syllabus – Computer Science and Information Technology (CS)
Section l: 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. Integration.
Probability and Statistics
Random variables. Uniform, normal, exponential, Poisson and binomial distributions. Mean, median, mode and standard deviation. Conditional probability and Bayes theorem.
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Section 2: Digital Logic
Boolean algebra. Combinational and sequential circuits. Minimization. Number representations and computer arithmetic (fixed and floating-point).
Section 3: 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).
Section 4: Programming and Data Structures
Programming in C. Recursion. Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs.
Section 5: 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
Section 6: 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.
Section 7: 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.
Section 8: 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.
Section 9: 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.
Section 10: Computer Networks
Concept of layering
OSI and TCP/IP Protocol Stacks; Basics of 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.
If you are preparing for GATE, download iStudy Mobile App for all GATE Syllabus, Previous Question Papers and Keys, preparation guide, Exam updates, Gate Virtual calculator, Gate Score calculator, and IITs & NITs cutoffs. It is a lightweight, easy to use, no images, and no ads platform to make students’ lives easier.
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GENERAL APTITUDE (Common for all branches)
Verbal Aptitude
Basic English Grammar
Tenses, articles, adjectives, prepositions, conjunctions, verb-noun agreement, and other parts of speech
Basic Vocabulary
Words, idioms, and phrases in context
Reading and Comprehension
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
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
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