#1
4th September 2012, 04:52 PM
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Is non Gate CS and Gate covers the same syllabus for CS
Hii I want to know about the syllabus of the CS programme. Is it same for the Gate passed candidates and non Gate candidates?
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#2
23rd May 2018, 04:55 PM
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Re: Is non Gate CS and Gate covers the same syllabus for CS
Can you tell me if the syllabus for GATE CS - Computer Science and Information Technology covers the same topics as non-GATE entrance examination for admission in M Tech Program?
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#3
23rd May 2018, 04:56 PM
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Re: Is non Gate CS and Gate covers the same syllabus for CS
The syllabus of Entrance Examination for admission in M Tech Program of the concerned University/College can be different. Otherwise, maximum University/College offered admission in M Tech Program through GATE score only. GATE CS - Computer Science and Information Technology Syllabus Section1: Engineering Mathematics 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 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 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 search, 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 Section 8: Operating System Processes, threads, inter‐process communication, concurrency and synchronization Deadlock CPU 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 LAN technologies (Ethernet) Flow and error control techniques, switching. IPv4/IPv6, routers and routing algorithms (distance vector, link state). TCP/UDP and sockets, congestion control Application layer protocols (DNS, SMTP, POP, FTP, HTTP). Basics of Wi-Fi Network security: authentication, basics of public key and private key cryptography, digital signatures and certificates, firewalls. |
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