The Entity-Relationship Model ------------------------------------------------- Top of Form Bottom of Form Database Design Goal of design is to generate a formal specification of the database schema Methodology: 1. Use E-R model to get a high-level graphical view of essential components of enterprise and how they are related 2. Then convert E-R diagram to SQL DDL‚ or whatever database model you are using E-R Model is not SQL based. It ’s not limited to any particular DBMS. It is a
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My product will be a class about the Army Leadership Requirement Model which will be focused on newly promoted Army Noncommissioned Officers and junior soldiers who are ready to work as a leader. Army Leadership Requirement Model consists of two major areas that all Army leaders must possess: Attributes “what a leader is” and the bottom portion consisting of Competencies “what a leader does.” It provides a common basis for thinking‚ learning‚ and applying leadership principles for all Army leaders
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Introduction Submit this assignment to the assignment drop box in eLearning by midnight Wednesday. The most interesting part of the book that I reflect on is chapter 3 on the model‚ because it uses the paradigm shift (upside down pyramid symbolizes the servant leadership model according to‚ Hunter) concerning change in environment‚ such as doing things in a different way to change your life and meet goals. Hunter uses leadership‚ authority‚ service & sacrifice‚ love and will as the essential influences
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CHAPTER 2 Methodology The Research Design The descriptive method of research was used for this study. To define the descriptive type of research‚ Creswell (1994) stated that the descriptive method of research is to gather information about the present existing condition. The emphasis is on describing rather than on judging or interpreting. The aim of descriptive research is to verify formulated hypotheses that refer to the present situation in order to elucidate it. The descriptive
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Memory- Task 1 Evaluate the usefulness of the three models of memory (multi-store model‚ working memory model and the levels of processing model) and discuss practical implications of memory research. Atkinson and Shiffrin ’s Multi- store Model of Memory (1968) hypothesises that there are three stores for memory; Sensory memory‚ short term memory (STM) and long term memory (LTM). The theory states that a memory passes through each of the stores and that the importance of the memory determines which
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Summary: “Business model innovation: it’s not just about technology anymore” by Henry Chesbrough According to Henry Chesbrough’s article‚ technologies can no longer be relied upon to earn a satisfactory profit‚ but instead innovation must include business models. A business model needs to function as both value creation and value capture. Value creation is the defining of activities that will yield a new product that in turn will create a net value. Value capture‚ in comparison‚ is turning those
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advancesindifferenceequations.com/content/2013/1/57 RESEARCH Open Access Global dynamics in a class of discrete-time epidemic models with disease courses Lei Wang‚ Qianqian Cui and Zhidong Teng* * Correspondence: zhidong@xju.edu.cn College of Mathematics and System Sciences‚ Xinjiang University‚ Urumqi‚ Xinjiang 830046‚ P.R. China Abstract In this paper‚ a class of discrete SIRS epidemic models with disease courses is studied. The basic reproduction number R0 is computed. The main results on the permanence
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Database Models s L11: ER Diagrams Kieran Herley Summary The database design process and the role of ER modelling in same. Basic constituents of ER diagrams: entities‚ relationships and attributes. While designing database it’s handy to have notation to “sketch” schema s Two common diagrammatic notations: x x s UML diagrams (Universal Modelling Language) ER diagrams (Entity Relationship) → cs1106 choice Captures the information requirements of our database: what data it con and how
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CAPITAL ASSET PRICING MODEL The Capital Asset Pricing Model deals with independent investor problems that needs to undergo the procedure of selection of securities involving risks. The investors need to select the most advantageous security that produces the best possible outcome. This model deals with the estimation of securities as well as it links the risk and return (the expected shares). There is a direct relationship and risk and return provides higher expected return from that security
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Chapter Chapter 12 Autoregressive Conditional Heteroscedasticity (ARCH) and Generalized ARCH (GARCH) Models Section Section 12.1 Introduction ARCH and GARCH Models • ARCH and GARCH models are designed to model heteroscedasticity (unequal variance) of the error term with the use of timeseries data • Objective is to model and forecast volatility Example: Understand the risk of holding an asset; useful in financial situations • ARCH -- Autoregressive Conditional Heteroscedasticity
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