# GATE Computer Science and Information Technology Syllabus 2017

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**GATE 2017 Computer Science and Information Technology Syllabus ( CS )**

**Engineering Mathematics Syllabus**

Discrete Mathematics: Propositional and first order logic. Sets, relations, functions, partial orders and lattices. 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: 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 Syllabus**

**Digital Logic :** Boolean algebra. Combinational and sequential circuits. Minimization. Number representations and computer arithmetic ( fixed and floating point ).

**Computer Organization and Architecture :** 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 ).

**Programming and Data Structures :** Programming in C. Recursion. Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs.

**Algorithms :** 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 contex-free languages, pumping lemma. Turing machines and undecidability.

**Compiler Design :** Lexical analysis, parsing, syntax – directed translation. Runtime environments. Intermediate code generation.

**Operating System :** Processes, threads, inter ‐ process communication, concurrency and synchronization. Deadlock. CPU scheduling. Memory management and virtual memory. File systems.

**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.

**Computer Networks :** ISO / OSI Stack, LAN Technologies ( Ethernet, Token ring ), Flow and Error control techniques, Routing Algorithms, Congestion control, TCP / UDP and Sockets, IP ( v4 ), Application Layer Protocols ( icmp, dns, smtp, pop, ftp, http ); Basic concepts of Hubs, Switches, Gateways, and Routers. Network security basic concepts of public key and private key Cryptography, Digital Signature, Firewalls.

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