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    Response Sheet

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    practical fieldwork experiences‚ interacting with real clients and their real life situations‚ students move from classroom and textbook mode to hands-on problem solving where they can recognise first hand how what they are learning applies to life and the work context. This appreciates transformation of learning into real life‚ which motivates learners. 6. Adult learners learn better when they are respected. Respect can be

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    Big Data

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    Patrick Cunningham ITM220-J November 8‚ 2013 Big Data Big Data‚ an inspirational novel about the collection and processing of massive amounts of data was eye-opening and encouraging. This collection of data over a long period of time has been processed and used towards many different aspects throughout the world. Dilemmas such as tracking the H1N1 virus‚ to buying the most inexpensive plane tickets‚ all the way to predicting dangerous manholes explosions have all been processed and tabulated

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    Cheat Sheet

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    LDR ms Optical detector Optical source Forward-biased photodiode; energy releases photo of light (near-infrared) -Resistance against light -High gain means slower -Limiting resistor is used to keep the intensity is plotted on a log-log response time current within the maximum allowed scale -More sensitive than a rating. - When it’s darker‚ it will have a photodiode (can pick up smaller -The brightness of the LED depends higher resistance. If it has a changes in light) on the current‚ and NOT the

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    Data Migration

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    Department of Education Office of Federal Student Aid Data Migration Roadmap: A Best Practice Summary Version 1.0 Final Draft April 2007 Data Migration Roadmap Table of Contents Table of Contents Executive Summary ................................................................................................................ 1 1.0 Introduction ......................................................................................................................... 3 1.1 1.2 1.3 1.4 Background

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    Beowulf Perspective

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    Beowulf perspective essay Hey there Grendel‚ what have you been up to? Oh I have been stocking up on food for the winter and trying to not be disturbed by those humans having the time of their lives singing and being annoying‚ what about you Merith? I’ve been trying to settle down and find someplace to live. Wait! Shh. Do you hear that Merith? Ugh this is the fourth time this week that those idiot humans have been partying and disturbing every one! I’m going to go teach them a lesson .

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    Big data

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    Big data describes innovative methods and technologies to capture‚ distribute‚ manage and analyze larger-sized data sets with high rate and diverse structures that conventional data management methods are unable to handle. Digital data is now everywhere—in every sector public or private‚ economy‚ organization and customer of digital technology. There are many ways that big data can be used to create value across sectors of the global economy. It has demonstrated the capacity to improve predictions

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    big data

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    Big Data In It terminology‚ Big Data is looked as a group of data sets‚ which are so sophisticated and large that the data can not be easily taken‚ stored‚ searched‚ shared‚ analyzed or visualized making use of offered tools. In global market segments‚ such “Big Data” generally looks throughout attempts to identify business tendencies from accessible files sets. Other areas‚ exactly where Big Data continually appears include various job areas of research for example the human being genome and also

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    Data Security

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    Master Thesis Electrical Engineering November 2011 Security Techniques for Protecting Data in Cloud Computing Venkata Sravan Kumar Maddineni Shivashanker Ragi School of Computing Blekinge Institute of Technology SE - 371 79 Karlskrona Sweden i This thesis is submitted to the School of Computing at Blekinge Institute of Technology in partial fulfillment of the requirements for the degree of Master of Science in Software Engineering. The thesis is equivalent to 40 weeks of full time studies.

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    Data Preprocessing

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    Data Preprocessing 3 Today’s real-world databases are highly susceptible to noisy‚ missing‚ and inconsistent data due to their typically huge size (often several gigabytes or more) and their likely origin from multiple‚ heterogenous sources. Low-quality data will lead to low-quality mining results. “How can the data be preprocessed in order to help improve the quality of the data and‚ consequently‚ of the mining results? How can the data be preprocessed so as to improve the efficiency and ease

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    Be Data Literate

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    Be Data Literate – Know What to Know by Peter F. Drucker             Executives have become computer literate. The younger ones‚ especially‚ know more about the way the computer works than they know about the mechanics of the automobile or the telephone. But not many executives are information-literate. They know how to get data. But most still have to learn how to use data.             Few executives yet know how to ask: What information do I need to do my job? When do I need it? In what

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