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Copyright © GATE 2022, Indian Institute of Technology Kharagpur 79 of 171
CS Computer Science and Information Technology
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.
Computer Science and Information Technology
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
Copyright © GATE 2022, Indian Institute of Technology Kharagpur 80 of 171
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 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.

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Cs 2022

  • 1. Copyright © GATE 2022, Indian Institute of Technology Kharagpur 79 of 171 CS Computer Science and Information Technology 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. Computer Science and Information Technology 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
  • 2. Copyright © GATE 2022, Indian Institute of Technology Kharagpur 80 of 171 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 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.