COURSE SYLLABUS BMGT 230 - BUSINESS STATISTICS Summer Session 0301 - 2014 Instructor Information Professor: Frank B. Alt (falt@rhsmith.umd.edu ) Office: 4323 Van Munching Hall (VMH) Office Hours: After all teaching days (2:00-3:00 p.m.) and by appointment Office Phone: 301-405-2231 Course Assistant Mr. Daniel Klein Office Hours: After all class days (except 6/19) from 3:00pm – 4:30pm Office: 4308 Email: dklein99@terpmail.umd.edu Class Information
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RSM M.Sc. in Strategic Management Master thesis Learning from M&A: the impact of the different types of distance Dr. Yang Fan (Supervisor) Dr. Jatinder Sidhu (Co-reader) Alexandre Favre ID 402770 Completed the 14th of June 2014 1 Preface: The copyright of the Master thesis rests with the author. The author is responsible for its contents. RSM is only responsible for the educational coaching and cannot be held liable for the content 2 Contenu 1. Introduction .........
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with appropriate tools. 3. To provide a learning environment for students to independently manage their projects under supervision. 4. To build students’ ability to present and rationalize their work with confidence and logics. 5. To enable the students to delegate tasks and work as a team, and manage their project time and budget accordingly. General proposal format: 1. Paper Size Type Color 2. Type Face Font Size Title Font Spacing : : : A4 80 gm papers White : : : : Arial, or Times New
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Y METHODS IN EDUCATIONAL RESEARCH From Theory to Practice Marguerite G. Lodico, Dean T. Spaulding, Katherine H. Voegtle METHODS IN EDUCATIONAL RESEARCH Y METHODS IN EDUCATIONAL RESEARCH From Theory to Practice Marguerite G. Lodico, Dean T. Spaulding, Katherine H. Voegtle Copyright © 2006 by John Wiley & Sons, Inc. All rights reserved. Published by Jossey-Bass A Wiley Imprint 989 Market Street, San Francisco, CA 94103-1741 www.josseybass.com No part of this publication may
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research process: theoretical framework and hypothesis development The need for a theoretical framework Variables Theoretical framework Hypothesis development Hypothesis testing with qualitative research: negative case analysis Managerial implications Summary Discussion Questions Practice Project Chapter 5: The research process: elements of research design The research design Purpose of the study: exploratory, descriptive, hypothesis testing (analytical and predictive), case study
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phenomena. This paper aims at giving a contribution to the ongoing discussion about open source business implications. The research hypothesis is that open source represents a disruptive innovation for the software industry. The purpose is to understand, through case study research, how open source companies can develop successful business models. Funambol provides an interesting example of an optimized business model, able to leverage the open source advantage in an emerging market. The paper is structured
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Services José Ortega/Stock Illustration Source This book was set in 10/12 Garamond by Hermitage Publishing Services and printed and bound by Malloy Lithographing, Inc. The cover was printed by Von Hoffmann Press, Inc. This book is printed on acid-free paper. Copyright 2003 © John Wiley & Sons, Inc. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise
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TI 2011-061/3 Tinbergen Institute Discussion Paper Entrepreneurship and Role Models Niels BosmaA Jolanda HesselsB,C Veronique SchutjensA Mirjam van PraagD Ingrid VerheulE Utrecht University; B EIM Business and Policy Research, Zoetermeer; C Erasmus School of Economics, Rotterdam; D Faculty of Economics and Business, University of Amsterdam; E Rotterdam School of Economics; all in the Netherlands. A Tinbergen Institute is the graduate school and research institute in economics of
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Data Mining 0. Abstract With the development of different fields, artificial intelligence, machine learning, statistic, database, pattern recognition and neurocomputing they merge to a newly technology, the data mining. The ultimate goal of data mining is to obtain knowledge from the large database. It helps to discover previously unknown patterns, most of the time it is followed by deeper manual evaluation to explain and correlate the results to establish a new knowledge. It is often practically
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© 2009 John Wiley & Sons Ltd. www.wileyeurope.com/college/sekaran 3 Basic research is important for generating and building upon the existing knowledge in the areas of interest. It offers the foundation for applied research by which one can circumvent reinventing the wheel. 3. When
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