...BIT 200 FINAL STUDY GUIDE • What is the difference between data and information: o Data is a set of discrete, objective facts about events. In an organizational context, data is most usefully described as structured records of transactions. o Information is a message to change the way the receiver perceives something to have an impact on his or her judgment or behavior. • Ex. Your doctor tells you are on the verge of being obese. If you do not want to increase your risk of heart disease or diabetes, then you need to change your eating habits. • What are the reference disciplines in information systems: o Computer Science- Computer Science is the discipline that seeks to build a scientific foundation for topics like computer design, computer programming, information processing, algorithmic solutions or problems, and the algorithmic process itself. o Management Science-The discipline using math and other analyzed methods to help make better decisions in business. Field includes- decision analysis, probability, and math modeling. • Management Science body of knowledge – uses quantitative approaches to decision making and is referred to as management science, operations research, and decisions science. • What do processors do: o A processor interprets computer program instructions and processes data. • Moore’s Law- Moore’s Law state that processor speeds will double every 18 months • The different kinds of storage memory are: kilobyte, megabyte, gugabyte, terabyte...
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...what is generics in jdk1.5? | | |Answer |Hi, | | |# 1 | | | | |Generics is Template support added in JDK1.5 where in we can maintain templates of object with particular type and | | | |also this object is restricted to accept type other than specified one at code time. | | | |This help reducing runtime exception and also we can create predefined well formed templates of Type. | | | | | | | |Best Example. | | | | | | | |http://java.sun.com/j2se/1.5.0/docs/relnotes/features.html#generics | | | | | | | |Code written to use the generics feature should not be a lot slower or a lot more memory-intensive than non-generic | | | ...
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...Your Multi Tech interview seemed to go well, but you did not get the job. During the meeting, the interviewer mentioned that Multi Tech uses structured analysis and relies heavily on modeling, prototyping, and CASE tools. Thinking back, you realize that you did not fully understand those terms. As you prepare for an interview with Rainbow's End, a large retail chain, you decide to review some IT terms and concepts. You want to be ready for the following questions: What are the main differences between structured, O-O, and agile development methods? There are several differences between structured, Object-oriented, and agile development analysis methods. Structured analysis employs processes and data separately, whereas Object-oriented uses objects to represent the data and related processes. Object-oriented analysis also takes advantage of object models that combine data, object behaviors, as well as how objects interact and interact with each other. With O-O, the objects and object models can be reused and customized as new needs arise. The combination of the data, processes and object behaviors, along with reusable models, makes the Object-oriented method flexible and more efficient when compared to the more rigid structured analysis ((Shelly & Rosenblatt, 2012, p. 21). The Agile analysis method is normally based on a spiral model that involves revisions developed through feedback from users. While the Agile method can be more flexible and can lead to less...
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...organisation and evaluation WEEK FIVE & WEEK SIX Lifelong learning: self-directed learning; continuing professional development; linking higher education with industry, further education, Recognition of Prior Learning, Apprenticeships, Credit Accumulation and Transfer Schemes WEEK SEVEN Assessment of learning: improved ability range with personal learning; evidence of improved levels of skill; feedback from others; learning achievements and disappointments Self-managed learning: Self-initiation of learning processes 2 What is Self Managed Learning? Self Managed Learning (SML) is about individuals managing their own learning. This includes people taking responsibility for decisions about: - • what you learn • how you learn • when you learn • where you learn • why you learn. The most fundamental questions that stimulate the above mentioned question is "Why Learn", this is where a link between personal development and organizational development could be established. So what does...
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... time that this case was written the Video / DVD rental industry had matured from a Mom and Pop Shop in the local town or down the street to the business model that Blockbuster had implemented. Location, Location, Location was the model. Open more stores and increase your market penetration. Blockbuster had approximately 7,800 brick and mortar stores, each carrying approximately 1000 titles.1 These DVDs were owned by the store and the volume generated mainly came from recent release rentals and new movie sales. The market, outside of the Blockbuster market was fragmented, with several copycats of Blockbuster, and continued existence of smaller, possibly regional rental shops. No viable Internet distribution model existed when Netflicks was launched. The only movies being accessed through he Internet at this time were pirated movies, in various formats. Even in this environment...
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...Data Analysis in SPSS Jamie DeCoster Department of Psychology University of Alabama 348 Gordon Palmer Hall Box 870348 Tuscaloosa, AL 35487-0348 February 21, 2004 If you wish to cite the contents of this document, the APA reference for them would be DeCoster, J. (2004). Data Analysis in SPSS. Retrieved from http://www.stat-help.com/notes.html Heather Claypool Department of Psychology Miami University of Ohio 136 Benton Hall Oxford, OH 45056 All rights to this document are reserved Table of Contents Introduction ...................................................................................................................................................................1 Interactive Mode versus Syntax Mode ..........................................................................................................................2 Descriptive Statistics .....................................................................................................................................................4 Transformations.............................................................................................................................................................5 Compute ....................................................................................................................................................................5 Recode ............................................................................................................................
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...marketing activities. This paper explores one of these techniques, Marketing Mix Modelling (MMM) and describes at a high level the key components of an MMM solution. Introduction “I waste half of the money I spend in advertising. I just don't know which half.“ Is a famous quote first attributed to John Wanamaker a US store merchant in 1862. The sad news is that we still hear it all too often today. However the reality is that in today’s modern marketing function there is no excuse for not measuring the effectiveness of all marketing activities. The following paper explores the use of marketing mix modelling (MMM) to manage marketing spend. Marketing Mix The following section provides a brief description of marketing mix. The marketing mix model (also...
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...Creating a model is a mechanical process; knowing when it is appropriate to use it is a thinking/analysis process. A useful model is the ultimate goal. Linear Models have tools that are relatively simple to understand and interpret: slope, yintercept. We can verify that a linear model is appropriate by checking the conditions and looking at the residual plot. Curved Models can be fit, but relatively speaking are more difficult to calculate. First Approach: Make sure that a re-expression can be meaningful. • Once we re-express, decide if the model is appropriate o Create the model o Plot the residuals o If there is still a curve, build another model o When the model has random, scattered residuals then we interpret using the model • Scatter plot shows a mixture of “signal” and “noise” o Signal is the underlying association between the variables o Noise is the random variation unaccounted for by the association o Example: in a scatter plot of height and weight, generally tall people weigh more; however, not all 6 ft tall people weigh the same—that variation is the noise. We want a regression model that describes the signal (the underlying relationship between ht and wt) Residual plot shows us the variation that is not explained by the model If the plot is random (just noise) then we have captured the whole signal If a curve remains in the residual plot, then we missed some of the signal meaning we need to look for a better model • When the appropriate model is found, then o Ask how...
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...Excel workbook (FIN 614 W15 Assignment 2.xlsx) that contains the data you require to do the work noted below. You are to do your work on this spreadsheet and then to post a modified version of it on uLearn as your submission of the assignment. For some questions below, there are obvious places in the spreadsheet for you to place your answer. You will usually need to do intermediate calculations. Please endeavor to make you work easy to follow. Ensure that your methodology is clear. To submit, one group member (not all) will post a spreadsheet on uLearn, ensuring that you have completed the following checklist before doing so: • • Before posting, ensure that group member names are entered onto the worksheet tab “Tally Sheet”. When posting please rename the workbook so that it includes the family names of the group members. For example, if Smith, Jones, and Brown work together, their submission would be named “Smith Jones Brown Assignment 2.xlsx” There are 20 available points on this assignment. Your tasks are as follows: 0) Please enter group member name and ID information on spreadsheet tab “Tally Sheet”. 1) Factor models, Fama-French factors, and active management: You will find monthly excess return series for 3 actively managed portfolios on tab "Q1". You will also find excess returns for a market capitalization weighted index and returns on the Fama-French (FF) factors SMB and HML. You will likely want to review the text’s discussion of FF starting on p. 399. a) Comment...
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...The E-Myth Revisited – Michael E. Gerber Book Summary Summary Introduction This document summarizes The E-Myth Revisited by Michael Gerber. The intent is to distill the major concepts from the book in note form for efficient perusal. Because only the main points of the book have been summarized here, reading the book in its entirety is highly recommended to get the full impact of the message Gerber conveys, as well as the dialogue in the book with one of his clients, Sarah, which provides additional insight on the concepts presented in the book. The ideas and text presented here are copyrighted works by Michael E. Gerber. Some of the text has been summarized for clarity and brevity. The E-Myth Revisited People who are exceptionally good in business aren’t so because of what they know but because of their insatiable need to know more. Businesses fail when their owners spend their time and energy defending what they think they know. A business doesn’t miss the mark by failing to achieve greatness in some lofty, principled way, but in the stuff that goes on in the multitude of seemingly insignificant, unimportant, and boring things that make up every business (and life as well). The greatest business people have a genuine fascination for the truly astonishing impact little things done exactly right can have on the world. The book is about four profound ideas that can mean the difference between the success and failure of a small business: 1. There is a myth...
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...Professional Paper “Trends in University Outsourcing” By: Mike Nieto May, 2008 About the author: Mike Nieto and has spent his entire adult career of nearly 20 years working in B2B outsourcing. During this time, Mike has been involved in many engagements which required analysis, recommendations, implementation including mail, copy and print-shop redesign, build outs, consolidations and metrics tracking of implemented outsourced client operations. In charting our course for the development of our Professional Paper; “Trends in University Outsourcing”, we found the dramatic changes and pressures that exist today in education require significant resources and greater core focus to achieve University overall objectives. The dynamics of the education system have changed significantly and there are far greater challenges that are no longer just national but global in scope. Extrapolated from A Report of the Commission Appointed by Secretary of Education Margaret Spellings, Pre-Publication Copy September 2006, titled; A test of leadership charting the future of US higher education, provided the following insights on some of the challenges which require the consumption of significant resources and consequently a need to focus on your core business: 1) Where once the United States led the world in educational attainment, recent data from the Organization for Economic Cooperation and Development indicate that our nation is now ranked 12th among major industrialized countries in higher...
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...O. HENRY, THE LAST LEAF In the 1890s, many artists lived in Greenwich Village, in New York City. Sue and Johnsy were artists. The two girls met each other in the month of May, at a restaurant in Greenwich Village. ‘I’m from the State of Maine,’ Sue said to Johnsy. ‘I draw pictures for stories in magazines.’ ‘I’m from California,’ Johnsy said to Sue. ‘But I want to go to Italy. I want to paint a picture of the Bay of Naples!’ The two girls talked happily for an hour – about art, about clothes, about food. Soon after their first meeting, Sue and Johnsy moved into a studio apartment together. Their rooms were at the top of an old brick house in Greenwich Village. In December, it was very cold in New York. Snow fell and there was ice in the ground. Many people in the city became ill. The illness was called pneumonia. The doctors tried to help the sick people, but many of them died. That month, Johnsy had pneumonia. She was very ill. She lay in her bed and she did not move. A doctor visited her every day. But Johnsy was not getting better. One morning, the doctor spoke quietly to Sue outside Johnsy’s room. ‘I can’t help her,’ the doctor said. ‘She is very sad. She doesn’t want to live. Someone must make her happy again. What is she interested in?’ ‘She’s an artist,’ Sue replied. ‘She wants to paint a picture of the Bay of Naples.’ ‘Painting!’ said the doctor. ‘That won’t help her!’ The doctor left the apartment. Sue went into her own room and she cried quietly for a few minutes. Then...
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...Introduction: The importance of conceptual models same: understand the problem before you start constructing a solution. There are two important things to keep in mind when learning about and doing data modeling: 1. Data modeling is first and foremost a tool for communication.Their is no single “right” model. Instead, a valuable model highlights tricky issues, allows users, designers, and implementors to discuss the issues using the same vocabulary, and leads to better design decisions. 2. The modeling process is inherently iterative: you create a model, check its assumptions with users, make the necessary changes, and repeat the cycle until you are sure you understand the critical issues. In this background lesson, you are going to use a data modeling technique—specifically, EntityRelationship Diagrams (ERDs)—to model the business scenario from Lesson 2. The data model you create in this lesson will form the foundation of the database that you use throughout the remaining lessons. Before you sit down in front of the keyboard and start creating a database application, it is critical that you take a step back and consider your business problem—in this case, the kitchen supply scenario presented in Lesson 2— from a conceptual point of view. To facilitate this process, a number of conceptual modeling techniques have been developed by computer scientists, psychologists, and consultants. ? For our purposes, we can think of a conceptual model as a picture of the information system...
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...FIRST AFFIRMATIVE When you choose an Android phone, you have what seems like an endless amount of choices for phones. Do you want a phone that does what phones do along with taking extremely good pictures? Buy a phone whose main focus is the camera. Do you want a rugged phone that could withstand being dropped many times? Do you want a phone that has a Quad HD screen rather than the 720-1080p screen? Do you want a phone with a smaller or bigger form factor? Android phones cover all this plus so much more. That's the beauty of Android phones -- you can get the one that fits you. With an iPhone, well, it's just an iPhone. Whatever it has in it is what you get. Sure you might get 2 or 3 options for a smaller or bigger phone that have slightly different hardware but that's it. The camera, screen, internal hardware, etc. is going to be the same on a model to model basis. For example, you can't buy an iPhone that has a high megapixel camera like Android users can with the Sony Xperia Z2. If you enjoy being able to customize your phone, then Android is the way to go and widgets have long been a huge advantage of Android over iOS. With iOS 8, Apple finally just implemented "widgets", but they are pretty limited. Also multitasking has also been around on Android for a while, and it's extremely easy to use. The majority of Android phones offer expandable memory. What does Apple do? Well, they've never offered expandable memory for the iPhone. Instead, they would rather pay another $100...
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...that the anticipated net present value for the new product is over $1,000,000 (one million dollars) and they have recommended the project to proceed. Your task is to check the group‟s claim to determine if it is reasonable. In doing so, you are required to develop a decision support system using Visual DSS. This decision support system will be used to assist the management of the company to make an informed decision about manufacturing of the new product. Table 1 summarises the related information. Cost of production: $7.25 per unit Annual overhead cost: $1,000,000 Initial investment needed: $5,000,000 Estimated selling price: $15.75 per unit Market at time of introduction: 900,000 units per year Market growth: 9.5% per year Market share: 36% Assumed economically useful lifetime: 5 years, commencing in 2014 Discount rate used to analyse new product proposals is 12% Table 1: Production details 1 Your task details: 1. Develop a DSS model using Visual DSS and the variables described above. Include comments within your Visual DSS model to explain the variables and your calculations. (Visual DSS software and the related tutorial are available from the Week 2 materials on the course website. The information provided in the tutorial is basic. You can get more details in the online manual under Help menu). Submit a...
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