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    Page 2) Table of Content 3) Abstract 4) Section 1 5) Section 1 (Continued) 6) Section 2 7) Section 3 8) Section 4 9) Section 4 (Continued) 10) Section 5 11) Section 5 (Continued) 12) Section 5 (Continued) 13) Section 6 14) Section 7 15) Section 8 16) Section 9 17) Section 10 18) Section 11 Abstract Green building construction refers to a structure and using process that is environmentally

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    Data Modeling

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    CHAPTER 17 DATA MODELING AND DATABASE DESIGN SUGGESTED ANSWERS TO DISCUSSION QUESTIONS 17.1 Why is it not necessary to model activities such as entering information about customers or suppliers‚ mailing invoices to customers‚ and recording invoices received from suppliers as events in an REA diagram? The REA data model is used to develop databases that can meet both transaction

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    DATA COLLECTION

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    DATA COLLECTION Business Statistics Math 122a DLSU-D Source: Elementary Statistics (Reyes‚ Saren) Methods of Data Collection 1. 2. 3. 4. 5. DIRECT or INTERVIEW METHOD INDIRECT or QUESTIONNAIRE METHOD REGISTRATION METHOD OBSERVATION METHOD EXPERIMENT METHOD DIRECT or INTERVIEW Use at least two (2) persons – an INTERVIEWER & an INTERVIEWEE/S – exchanging information.  Gives us precise & consistent information because clarifications can be made.  Questions not fully understood by the respondent

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    Data Processing

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    Data Processing Data Processing is the term generally used to describe what was done by large mainframe computers from the late 1940’s until the early 1980’s (and which continues to be done in most large organizations to a greater or lesser extent even today): large volumes of raw transaction data fed into programs that update a master file‚ with fixed-format reports written to paper. Number System A numeral system (or system of numeration) is a writing system for expressing numbers‚ that is

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    Construction Of Memory

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    make Lucy fall for him. After a while he starts using videos to break the news to her everyday. This works for a time but Lucy learns how much he is giving up for her and breaks up with him and also moves to a mental institute for extra support. Although separated she

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    Data Structure

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    Module 815 Data Structures Using C M. Campbell © 1993 Deakin University Module 815 Data Structures Using C Aim After working through this module you should be able to create and use new and complex data types within C programs. Learning objectives After working through this module you should be able to: 1. Manipulate character strings in C programs. 2. Declare and manipulate single and multi-dimensional arrays of the C data types. 3. Create‚ manipulate and manage C pointers

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    CSR Corporate Social Responsibility: A Value Adding Business Function Prepared by: Randeep Moore Student ID: 301064174 BUS 421: Kim Trottier Abstract This paper examines the similarities and findings of three academic papers related to Corporate Social Responsibility (CSR) in accounting. Assumptions are made regarding the importance of CSR to the success of businesses. By looking at three different pieces of literature from the accounting field‚ there is strong evidence that suggests

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    Data Management

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    cardinality is termed as: (A) Number of tuples. (B) Number of attributes. (C) Number of tables. (D) Number of constraints. Ans: A Q.2 Relational calculus is a (A) Procedural language. (C) Data definition language. Ans: B Q.3 The view of total database content is (A) Conceptual view. (C) External view. Ans: A Q.4 Cartesian product in relational algebra is (A) a Unary operator. (B) a Binary operator. (C) a Ternary operator. (D) not defined. Ans: B Cartesian product in relational algebra is a binary

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    Introduction 3 Professional Ethics and Construction 5 Professional Ethics 5 The case in Ethiopia 13 Ethical Issues 15 Construction Business and Ethics 22 References 25 Acknowledgement The group would like to take this opportunity to thank our Ethics and Legal Environment Instructor‚ Dr. Tilahun Goshu‚ who gave us the chance to explore the ethical issues in the construction industry at present time. Introduction Construction is the largest industry in the world‚ benefiting

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    Data Quality

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    PRINCIPLES OF DATA QUALITY Arthur D. Chapman1 Although most data gathering disciples treat error as an embarrassing issue to be expunged‚ the error inherent in [spatial] data deserves closer attention and public understanding …because error provides a critical component in judging fitness for use. (Chrisman 1991). Australian Biodiversity Information Services PO Box 7491‚ Toowoomba South‚ Qld‚ Australia email: papers.digit@gbif.org 1 © 2005‚ Global Biodiversity Information Facility Material

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