Team Careers360|Sep 30, 2022
GATE 2023 syllabus for CSE has 10 sections; complete list
IIT Kanpur will conduct GATE 2023 on February 4,5,11, and 12. GATE 2023 registration will commence on August 30 at gate.iitk.ac.in.
NEW DELHI: The Graduate Aptitude Test in Engineering (GATE) 2023 syllabus for Computer Science and Information Technology includes 10 sections. The Indian Institute of Technology (IIT) Kanpur will conduct GATE 2023 on February 4, 5, 11 and 12, 2023. GATE registration form 2023 will be available from August 30. Candidates will be able to register on the official website - gate.iitk.ac.in.
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GATE 2023 Syllabus for CSE
Section 1: 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, 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.
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 contex-free languages, pumping lemma. Turing machines and undecidability.
Section 7: Compiler Design
- Lexical analysis, parsing, syntax-directed translation. Runtime environments. Intermediate code generation. Local optimisation, 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 circuitswitching; 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.
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