GATE-2017 Computer Science CS/ IT Syllabus Exam Pattern www.gate.iisc.ernet.in/

GATE-2017 Computer Science (CS) Syllabus Check GATE-2017 Information Technology (IT) Exam Syllabus GATE-2017 Exam Pattern of Questions Pa...

GATE-2017 Computer Science (CS) Syllabus Check GATE-2017 Information Technology (IT) Exam Syllabus GATE-2017 Exam Pattern of Questions Paper and Marking Schemes Download Previous Year Papers
GATE-2017 Computer Science (CS/IT) Exam Syllabus
The overall co-ordination and responsibility of conducting GATE 2017 lies with Indian Institute of Technology, Roorkee which is designated as the Organizing Institute (OI) for GATE 2017. As we all know, it is very hard to chase exam of GATE. As the time passing away the standard of competitive examination is raising with the time period rapidly. So, candidates also must have to pay more attention towards their preparation. Now, we are rendering the determined latest scheme of examination and syllabus of Computer Science and Information Technology (CS/IT) GATE-2017 conducting by IISc.
Exam Pattern : Exam Pattern for the GATE-2017 Computer Science and Information Technology (CS/IT) Exam is as Follows:-
► GATE 2017 would contain questions of two different types : (i) Multiple Choice Questions (MCQ) and (ii) Numerical Answer Questions.
► In all the papers, there will be a total of 65 questions carrying 100 marks, out of which 10 questions carrying a total of 15 marks are in General Aptitude (GA).
► In the paper, the Engineering Mathematics will carry around 15% of the total marks, the General Aptitude section will carry 15% of the total marks and the remaining 70% percentage of the total marks is devoted to the subject of the paper.
► The questions in a paper may be designed to test the following abilities : Recall, Comprehension, Application and Analysis & Synthesis.
Exam Syllabus : Exam Syllabus for Computer Science and Information Technology (CS/IT) GATE-2017 Exam is given below :-
Engineering Mathematics :-
Discrete Mathematics : Propositional and first order logic. Sets, relations, functions, partialorders and lattices. Groups.Graphs: connectivity,matching,coloring.  Combinatorics: counting, recurrence relations, generating functions.
Linear Algebra : Algebra of matrices, determinants, systems of linear equations, Eigen values and Eigen vectors.
Calculus : Limit, Continuity & differentiability, Mean value Theorems, Theorems of integral calculus, evaluation of definite & improper integrals, Partial derivatives, Total derivatives, maxima & minima.
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 :-
Digital Logic : Logic functions, Minimization, Design and synthesis of combinational and sequential circuits; Number representation and computer arithmetic (fixed and floating point).
Computer Organization and Architecture : Machine instructions and addressing modes, ALU and data-path, CPU control design, Memory interface, I/O interface (Interrupt and DMA mode), Instruction pipelining, Cache and main memory, Secondary storage.
Programming and Data Structures : Programming in C; Functions, Recursion, Parameter passing, Scope, Binding; Abstract data types, Arrays, Stacks, Queues, Linked Lists, Trees, Binary search trees, Binary heaps.
Algorithms : Analysis, Asymptotic notation, Notions of space and time complexity, Worst and average case analysis;
Design : Greedy approach, Dynamic programming, Divide-and-conquer; Tree and graph traversals, Connected components, Spanning trees, Shortest paths; Hashing, Sorting, Searching. Asymptotic analysis (best, worst, average cases) of time and space, upper and lower bounds, Basic concepts of complexity classes – P, NP, NP-hard, NP-complete.
Theory of Computation : Regular languages and finite automata, Context free languages and Push-down automata, Recursively enumerable sets and Turing machines, Undecidability.
Compiler Design : Lexical analysis, Parsing, Syntax directed translation, Runtime environments, Intermediate and target code generation, Basics of code optimization.
Operating System : Processes, Threads, Inter-process communication, Concurrency, Synchronization, Deadlock, CPU scheduling, Memory management and virtual memory, File systems, I/O systems, Protection and security. 39
Databases : ER-model, Relational model (relational algebra, tuple calculus), Database design (integrity constraints, normal forms), Query languages (SQL), File structures (sequential files, indexing, B and B+ trees), Transactions and concurrency control.
Information Systems and Software Engineering : information gathering, requirement and feasibility analysis, data flow diagrams, process specifications, input/output design, process life cycle, planning and managing the project, design, coding, testing, implementation, maintenance.
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.
Web technologies : HTML, XML, basic concepts of client-server computing.
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