Matemáticas aplicadas a los negocios, las ciencias sociales y de la vida (6a. ed.).
Author: Soot T. Tan
Publisher:
Published: 2017
Total Pages: 746
ISBN-13: 9786075265278
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Author: Soot T. Tan
Publisher:
Published: 2017
Total Pages: 746
ISBN-13: 9786075265278
DOWNLOAD EBOOKAuthor: Tan T. Soo
Publisher:
Published: 2010
Total Pages: 250
ISBN-13: 9786074817584
DOWNLOAD EBOOKAuthor: Frank Budnick
Publisher: McGraw-Hill Companies
Published: 1993
Total Pages: 1033
ISBN-13: 9789701056981
DOWNLOAD EBOOKAuthor: Ernest F. Haeussler
Publisher:
Published: 1997
Total Pages: 941
ISBN-13: 9789688809631
DOWNLOAD EBOOKAuthor: Frank S. Budnick
Publisher:
Published: 1988
Total Pages: 748
ISBN-13:
DOWNLOAD EBOOKAuthor: Victor J. Katz
Publisher: Cambridge University Press
Published: 2000-09-21
Total Pages: 284
ISBN-13: 9780883851630
DOWNLOAD EBOOKThis volume examines how the history of mathematics can find application in the teaching of mathematics itself.
Author: Peter L. Galbraith
Publisher: Springer Science & Business Media
Published: 2007-12-05
Total Pages: 524
ISBN-13: 0387298223
DOWNLOAD EBOOKThe book aims at showing the state-of-the-art in the field of modeling and applications in mathematics education. This is the first volume to do this. The book deals with the question of how key competencies of applications and modeling at the heart of mathematical literacy may be developed; with the roles that applications and modeling may play in mathematics teaching, making mathematics more relevant for students.
Author: Alain Fayolle
Publisher: Edward Elgar Publishing
Published: 2006-01-01
Total Pages: 317
ISBN-13: 1847201652
DOWNLOAD EBOOKThe importance of this volume is that it addresses the major pedagogical issues that inevitably arise in the context of entrepreneurship education. It represents a valuable source for those involved in the training and development of entrepreneurial skills and initiative. Economic Outlook and Business Review Can entrepreneurship be taught? Is it an art or a science? How is entrepreneurship learned? Another masterpiece by the European masters Fayolle and Klandt, this volume based on the 2003 Grenoble Conference will be useful for years to come, among educators and policymakers alike, especially those open to the emerging paradigm. Léo-Paul Dana, University of Canterbury, New Zealand This book discusses paradigmatic changes in the field of entrepreneurship education in response to economic, political and social needs, and the consequential need to reassess, redevelop and renew curricula and methods used in teaching entrepreneurship. Traditional and new questions and concerns are addressed, including: the development of business schools towards entrepreneurship education best-practice methods of learning and teaching entrepreneurship both inside and outside the classroom the design of effective teaching frameworks and tools the development of entrepreneurial behaviours and attitudes in students teaching the design and launch of new businesses. The issue of assessing the effectiveness of entrepreneurship education is also raised. A theoretical and methodological framework is used to measure the impact and effectiveness of entrepreneurship education programmes on the attitudes and behaviours of students. Now more than ever, the book argues, research in the field of entrepreneurship education has to be encouraged and facilitated, and should drive the activity of entrepreneurship education providers. As such, this fascinating book aims to provide researchers, practitioners, teachers and advanced students engaged in the field of entrepreneurship with relevant and up-to-date insights into international research programmes in entrepreneurship education.
Author: Ernest F. Haeussler
Publisher: Reston
Published: 1980
Total Pages: 936
ISBN-13:
DOWNLOAD EBOOKAuthor: Zura Kakushadze
Publisher: Springer
Published: 2018-12-13
Total Pages: 480
ISBN-13: 3030027929
DOWNLOAD EBOOKThe book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.