Data Structures and Algorithms DSA Annotated Reference with Examples Granville Barne Luca Del Tongo Data Structures and Algorithms: Annotated Reference with Examples First Edition Copyright c Granville Barnett‚ and Luca Del Tongo 2008. This book is made exclusively available from DotNetSlackers (http://dotnetslackers.com/) the place for .NET articles‚ and news from some of the leading minds in the software industry. Contents 1 Introduction 1.1 What this book is‚ and what
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nodes which creates a dedicated channel with full bandwidth available for communication. b. Packet Switching – Groupings of transmitted data are converted into smaller packets that are sent over a network. The transmission resources are allocated as needed and a connection exists only as long as the transmission is sent. 2. Packetization is the bundling of data being sent into smaller packets in such a way that they can be sent‚ delivered‚ and Looking at the statistics of the two stocks
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Workstations are generally used by a single person whereas servers provide services over a network to multiple computers. Workstation are typically used for CPU tasks and simulation projects‚ unlike servers which are mainly used for data storage‚ to run databases and organize data‚ DNS‚ and to host web pages. 3. List some advantages of mapping a directory located on a server to a workstation. 4. Discuss how you would add new users and groups to your server. Include a discussion of the permissions
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am going to explain data protection‚ talk about the data protection acts‚ rights and principles. I’m going to talk about a data controller and a data processor and what their responsibilities are. What personal and sensitive data are. What a data receiver is and what his rights are‚ what is involved in direct marketing and I will mention an example of abuse or corruption that occurred in Ireland. Data protection acts Data protection is legal control over and access to use of data stored in computers
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DATA FLOW DIAGRAM - one of the most commonly used modeling tool which graphically represents a system as a network of processes‚ linked together through input and output flow lines and entities. Data flow Components ▪ Process - transformation of data flow into outgoing data flow. It may represent . . - whole system - subsystem - activity ▪ Data store - repository of data in the system It may represent . . . - computer file or
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|Case Study: Data for Sale | |Management Information System | | | |
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Data Models Consider a simple student registration. Specifically we want to support the tasks of students registering for or withdrawing from a class. To do this‚ the system will need to record data about what entities? What specific data about the entities will need to be stored? What is the cardinality between students and courses? Diagram the data model. While‚ considering a student class registration system for registering or withdrawing a system must have the capability to record data in
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LECTURE 1 DATA TYPES Our interactions (inputs and outputs) of a program are treated in many languages as a stream of bytes. These bytes represent data that can be interpreted as representing values that we understand. Additionally‚ within a program we process this data that can be interpreted as representing values that we understand. Additionally‚ within a program we process this data in various way such as adding them up or sorting them. This data comes in different forms. Examples include: your
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BCSCCS 303 R03 DATA STRUCTURES (Common for CSE‚ IT and ICT) L T P CREDITS 3 1 0 4 UNIT - I (15 Periods) Pseudo code & Recursion: Introduction – Pseudo code – ADT – ADT model‚ implementations; Recursion – Designing recursive algorithms – Examples – GCD‚ factorial‚ fibonnaci‚ Prefix to Postfix conversion‚ Tower of Hanoi; General linear lists – operations‚ implementation‚ algorithms UNIT - II (15 Periods)
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Distinguish between primary data and secondary data? Primary data is the data that is collected first hand from the original source for the purpose of making statistical inference while secondary data is the data that is collected by the method of abstraction and is used to make statistical inference by using primary data already collected by an investigator. Primary data is collected by Identifying population of interest choosing sample analyse sample information draw inference from
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