Difference between revisions of "Test"

Revision as of 10:29, 10 October 2014

Algorithms & Data Structures

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.

Data Structures:

Abstract data types, Arrays, Stacks, Queues
Linked Lists
Trees, Binary search trees, Binary heaps.

Book	Description
Algorithms Shai Simonson, Aduni.org	Aduni.org: before you do any other thing, the first thing to do is watch these videos, you won’t believe how awesome Shai is.
Introduction to Algorithms Leiserson, OCW.MIT	One of the lecturers is C. Leiserson, The “L” in CLRS..
Introduction to Data Structures & Algorithms NPTEL
Coursera Course Kevin Wayne, Robert Sedgewick, Princeton University	Course and slides

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

Book	Description
DBMS NPTEL PPC - IIT KGP NPTEL	IIT KGP PPC DBMS lecture is good one
CS145 Introduction to Databases Stanford	Course and slides for DBMS

Compiler Design

Lexical analysis, Parsing
Syntax directed translation, Runtime environments
Intermediate and target code generation, Basics of code optimization.

Book	Description
CS143 Compilers Stanford	Best notes and assignment for Compiler Course, no video
Compilers Stanford Alex Aiken, Coursera	Comprehensive

Operating Systems

Processes, Threads, Inter-process communication
Concurrency, Synchronization
Deadlock
CPU scheduling
Memory management and virtual memory
File systems, I/O systems, Protection and security.

Book	Description
Operating Systems P.K.Biswas	Enough for GATE
Computer Science 162 - Lecture 1 UCBerkeley

Theory of Computation

Regular languages and finite automata
Context free languages and Push-down automata
Recursively enumerable sets and Turing machines
Undecidability.

Book	Description
Theory of Computation Shai Simonson, Aduni.org	If you have not seen these videos, don’t do anything go and see the videos immediately, no excuses.
Introduction to Theory of Computation Sipser	Sipser is a quick and comprehensive guide. It is recommended to be read after you have grip on the subject.
Introduction To Computer Theory Cohen	Cohen can be read if very good detailed analysis is required. SPOON FEEDING !
Introduction to Automata Theory, Languages, and Computation Hopcroft	In most colleges you will find this book as a Main book , but believe me within Cohen or Linz, if you read any one of them , Enough!

CO & 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.

Book	Description
Computer Architecture Prof. Anshul Kumar, IIT Delhi, NPTEL
Computer Organization Prof. S. Raman, IIT Madras, NPTEL
Computer Architecture David Wentzlaff, Princeton University, Coursera	Full Course

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

Book	Description
Computer Networks NPTEL
Introduction to Computer Networks Jain, WUSTL

Programming

Programming in C
Functions, Recursion
Parameter passing, Scope, Binding

Book	Description
Programming Paradigms Jerry Cain, Stanford	Doesn't cover the entire GATE syllabus in programming but useful
Computer Science 61B - Fall 2006 UCBerkeley	For Data structures

Digital Logic

Logic functions, Minimization
Design and synthesis of combinational and sequential circuits
Number representation and computer arithmetic (fixed and floating point)

Book	Description
Introduction to Digital Circuits Prof.S.Srinivasan, IIT Madras, NPTEL

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.

Book	Description
Software Engineering Pressman	Just see the GATE topics from this bible.

Web technologies

HTML, XML
Basic concepts of client-server computing

Book	Description
Web Technologies Basics Telerik Academy	This presentation is enough for GATE.

Engineering Mathematics

Combinatory & Probability

Combinatory

Permutations, Combinations
Counting, Summation
Generating functions, recurrence relations, asymptotics

Probability

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

Book	Description
Sets, Counting, and Probability Harvard	Covers the basics
Applied Probability MIT	Advanced course and topics are mostly above GATE syllabus.

Mathematical Logic, Set Theory & Algebra

Mathematical Logic

Propositional Logic
First Order Logic

Set Theory & Algebra

Sets, Relations, Functions
Groups
Partial Orders, Lattice
Boolean Algebra

Book	Description
Discrete Mathematical Structures Prof. Kamala Krithivasan, IIT Madras, NPTEL	Covers Mathematical logic, Set Theory and Algebra syllabus from GATE completely

Graph Theory

Connectivity, spanning trees
Cut vertices & edges
Covering, matching, independent sets
Colouring, Planarity, Isomorphism

Book	Description
Graph Theory NPTEL	Advanced course, just take what you need from GATE syllabus

Linear Algebra

Algebra of matrices, determinants
Systems of linear equations
Eigen values and Eigen vectors

Book	Description
Linear Algebra Gilbert Strang, OCW.MIT	Straight from the master

Numerical Methods & Calculus

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

Book	Description
Higher Engineering Mathematics Grewal	Enough for GATE
Calculus Gilbert Strang	If you have time, go through the book and videos in this link.

@@ Line 413: / Line 413: @@
 <li> Numerical reasoning and data interpretation </li>
 </ul></div>
-{|class="wikitable"
-!Book
-! style="width: 70%;"|
-Description
-|-
-|[http://www.flipkart.com/quantitative-aptitude-competitive-examinations-english-17th/p/itmdytga2sgpggmg?pid=9788121924986&ref=fa36fcb4-078c-4280-b9c8-d849701e4a98&srno=t_1&otracker=from-search&query=agrewal+aptitude ''Quantitative Aptitude For Competitive Examinations'']
-Aggarwal
-| Those having good aptitude skills can do without this book. But do refresh the problems in progression, cost-selling price etc. Questions in aptitude are easy but scoring in this topic is very important to the final GATE score.
-|}
 ===Verbal Ability===
@@ Line 430: / Line 422: @@
 <li> Instructions, critical reasoning and verbal deduction </li>
 </ul></div>
-{|class="wikitable"
-!Book
-! style="width: 70%;"|
-Description
-|-
-|[http://www.flipkart.com/modern-approach-verbal-reasoning-english-2nd/p/itmdytg92gkwmzdg?pid=9788121905527&otracker=from-search&srno=t_1&query=verbal+reasoning+books&ref=29294827-5bc4-42b0-bd5e-2baeb1313ed8 ''A Modern Approach to Verbal Reasoning'']
-Aggarwal
-|If your English is good enough no need to buy this book. But I recommend giving a little importance to this topic.
-|}

Difference between revisions of "Test"

Revision as of 10:29, 10 October 2014

Contents

Algorithms & Data Structures

Databases

Compiler Design

Operating Systems

Theory of Computation

CO & Architecture

Computer Networks

Programming

Digital Logic

Information Systems and Software Engineering

Web technologies

Engineering Mathematics

Combinatory & Probability

Mathematical Logic, Set Theory & Algebra

Graph Theory

Linear Algebra

Numerical Methods & Calculus

General Aptitude

Numerical Ability

Verbal Ability

Contents

Algorithms & Data Structures[edit]

Databases[edit]

Compiler Design[edit]

Operating Systems[edit]

Theory of Computation[edit]

CO & Architecture[edit]

Computer Networks[edit]

Programming[edit]

Digital Logic[edit]

Information Systems and Software Engineering[edit]

Web technologies[edit]

Engineering Mathematics[edit]

Combinatory & Probability[edit]

Mathematical Logic, Set Theory & Algebra[edit]

Graph Theory[edit]

Linear Algebra[edit]

Numerical Methods & Calculus[edit]

General Aptitude[edit]

Numerical Ability[edit]

Verbal Ability[edit]