No. of Printed Pages : 4 FIB0-06 POST GRADUATE DIPLOMA IN INTERNATIONAL BUSINESS 00 C OPERATIONS/MASTER OF COMMERCE Term-End Examination December‚ 2012 IBO-06 : INTERNATIONAL BUSINESS FINANCE Time : 3 hours Maximum Marks : 100 Weightage : 70% Note : Answer any five questions. All questions carry equal marks. 1. What are the salient features of the present day 15‚5 International Monetary System ? Critically examine their suitability from the view point of developing
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Data Collection Methods OBSERVATIONS Observation is a primary method of collecting data by human‚ mechanical‚ electrical or electronics means with direct or indirect contact. As per Langley P‚ “Observations involve looking and listening very carefully. We all watch other people sometimes but we do not usually watch them in order to discover particular information about their behavior. This is what observation in social science involves.” Observation is the main source of information in the
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system it controls. Unlike a general-purpose computer‚ such as a personal computer‚ an embedded system performs one or a few predefined tasks‚ usually with very specific requirements. Since the system is dedicated to specific tasks‚ design engineers can optimize it‚ reducing the size and cost of the product. Embedded systems are often mass-produced‚ benefiting from economies of scale. Personal digital assistants (PDAs) or handheld computers are generally considered embedded devices because of the
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Started 3 4. ‘Bang for the Buck’ Data Models 23 5. Design Patterns 23 6. Master Data Management (MDM) 36 7. Build your Own 57 8. Generic Data Models 79 9. From the Cradle to the Grave 88 10. Commercial Web Sites 108 11. Vertical Applications 109 Appendix A. Business Rules 114 Appendix B. Glossary of Terms 114 1. Introduction 1.1 Our Approach This book adopts a unique approach which is based on using existing Data Models as the basis for designing
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Business Research Methods‚ Part Three For Jose Cuervo to stay ahead of the game‚ qualitative and quantitative data must be collected to develop the new tequila line and stay ahead of the competition. Collecting quantitative data on the tequila is relatively easy‚ whereas collecting qualitative data‚ on the other hand taking a significantly larger and more meticulous effort. To collect such data a survey was conducted to determine whether or not Jose Cuervo should introduce a new tequila line specializing
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Making $€N$€ of Data Center Planning Your Data Center… 1 Introduction Do you agree…. 1. Businesses are increasingly dependent on their IT infrastructures to drive mission-critical operations throughout the enterprise. 2. Significant cost savings can be realized through data center consolidation and right-sizing. 3. And every business needs a business continuity plan that includes disaster recovery‚ backup and remote operations. 4. Continual evolution of infrastructure technology is transforming
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Qualitative data analysis What Is Qualitative Analysis? Qualitative modes of data analysis provide ways of discerning‚ examining‚ comparing and contrasting‚ and interpreting meaningful patterns or themes. The varieties of approaches - including ethnography‚ narrative analysis‚ discourse analysis‚ and textual analysis - correspond to different types of data‚ disciplinary traditions‚ objectives‚ and philosophical orientations. What Is Qualitative Analysis? We have few agreed-on canons for qualitative
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1 Define data mining. Why are there many different names and definitions for data mining? Data mining is the process through which previously unknown patterns in data were discovered. Another definition would be “a process that uses statistical‚ mathematical‚ artificial intelligence‚ and machine learning techniques to extract and identify useful information and subsequent knowledge from large databases.” This includes most types of automated data analysis. A third definition: Data mining is the
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KNOWLEDGE AND DATA ENGINEERING‚ VOL. 23‚ NO. 1‚ JANUARY 2011 51 Data Leakage Detection Panagiotis Papadimitriou‚ Student Member‚ IEEE‚ and Hector Garcia-Molina‚ Member‚ IEEE Abstract—We study the following problem: A data distributor has given sensitive data to a set of supposedly trusted agents (third parties). Some of the data are leaked and found in an unauthorized place (e.g.‚ on the web or somebody’s laptop). The distributor must assess the likelihood that the leaked data came from
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METHODS OF DATA COLLECTION BY ADEDOYIN SAMUEL ADEBAYO INTERNATIONAL BLACK SEA UNIVERSITY TBILISI - GEORGIA MA IN EDUCATION STUDENT NO:12500151 LECTURER: PROF. IRINA BAKHTADZE METHODS OF COLLECTING DATA Introduction: Data Collection is an important aspect of any type of research study. Inaccurate data collection can impact the results of a study and ultimately lead to invalid results. Data collection methods for impact evaluation vary along a continuum. At the one end
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