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3rd August 2014, 02:50 PM
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Join Date: Apr 2013
Re: GATE Computer Science and Engineering study material

As you want to get the GATE Computer Science and Engineering study material so here it is for you:

ENGINEERING MATHEMATICS
Mathematical Logic: Propositional Logic; First Order Logic.

Probability: Conditional Probability; Mean, Median, Mode and Standard Deviation; Random Variables; Distributions; uniform, normal, exponential, Poisson, Binomial.

Set Theory & Algebra: Sets; Relations; Functions; Groups; Partial Orders; Lattice; Boolean Algebra.

Combinatorics: Permutations; Combinations; Counting; Summation; generating functions; recurrence relations; asymptotics.

Graph Theory: Connectivity; spanning trees; Cut vertices & edges; covering; matching; independent sets; Colouring; Planarity; Isomorphism.

Linear Algebra: Algebra of matrices, determinants, systems of linear equations, Eigen values and Eigen vectors.

Numerical Methods: LU decomposition for systems of linear equations; numerical solutions of non-linear algebraic equations by Secant, Bisection and Newton-Raphson Methods; Numerical integration by trapezoidal and Simpson’s rules.

Calculus: Limit, Continuity & differentiability, Mean value Theorems, Theorems of integral calculus, evaluation of definite & improper integrals, Partial derivatives, Total derivatives, maxima & minima.

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.

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.

Reference Books:

1. Matrices AR Vasista
2. Higher Engineering Maths BS Grewal
3. Probability and Statistics Miller and Freund
4. Discrete Mathematical Structures JP Trembly and Manohar
5. Discrete Maths Schaum’s Series
6. Discrete Mathematical Structures Kolman, Busby and Ross
7. Graph Theory Narsingh Deo
8. Numerical Methods Golden Series
9. Numerical Methods BS Grewal
10. Numerical Methods SS Sastry
11. Numerical Methods Jain and Iyengar
12. Discrete Mathematics Mott, Kandel and Baker
13. Automata Ullman and Hopcroft
14. Introduction to Computer Theory Daniel Cohen 2nd Edition
15. Theory of ComputerScience 2nd Edition Chandrasekaran & Mishra
16. Design Analysis of Comp. Algorithms Aho, Hopcroft and Ullman
17. Computer Algorithms Horowitz and Sahni
18. Introduction to Algorithms Thomas Cormon, Charles Ronald
19. Switching and Finite Automata Theory Kohavi
20. Digital Logic and Computer Design Morris Mano
21. Digital Principles and Applications Leach and Malvino
22. Computer System Architecture Mano
23. Computer Org. and Architecture William Stallings
24. Computer Organization Hamacher, Vranesic &Zaky
25. Computer Architecture and Organization Hayes
26. Programming Languages Pratt and Zelkewitz
27. Compilers Aho, Ullman and Sethi
28. Principles of Compiler Design Aho and Ullman
29. Fundamentals of Data Structures Horowitz. Sahni
30. Introduction to DS with Applications Trembly and Sorenson
31. Data Structures Schaum Series
32. DS and Programming in C Kruse, Tondo and Leung
33. C Programming Venugopal
34. C Programming Language Kernighan and Ritchie
35. System Programming Donovan
36. System Programming and OS Dhamdhere
37. Operating Systems Dietel
38. Operating Systems William Stallings
39. Operating Systems Milan Milenkovic
40. OS Concepts Galvin and Silberschatz
41. Computer Networks Andrew Tanenbaum
42. Data Communications William Stallings
43. Engg. Approach to Comp. Networks S Keshav
44. Introduction to Switching Theory & Logic Design FJ Hill and Peterson
45. Database Systems Korth and Sudhershan
46. Fundamentals of DBMS Elmasri, Navathe
47. An Introduction to DBMS CJ Date
48. DBMS 3rd Edition Ramakrishnan, Gehrke
49. An Introduction to DBMS Bipin C Desai
50. Multiple Choice Questions in Computer Science Timothy J Williams
51. Previous GATE papers (Question papers only) GK Publications


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