In this well-illustrated book the authors, Sinan Kanbir, Ken Clements, and Nerida Ellerton, tackle a persistent, and universal, problem in school mathematics—why do so many middle-school and secondary-school students find it difficult to learn algebra well? What makes the book important are the unique features which comprise the design-research approach that the authors adopted in seeking a solution to the problem.
The first unique feature is that the authors offer an overview of the history of school algebra. Despite the fact that algebra has been an important component of secondary-school mathematics for more than three centuries, there has never been a comprehensive historical analysis of factors influencing the teaching and learning of that component.
The authors identify, through historical analysis, six purposes of school algebra: (a) algebra as a body of knowledge essential to higher mathematical and scientific studies, (b) algebra as generalized arithmetic, (c) algebra as a prerequisite for entry to higher studies, (d) algebra as offering a language and set of procedures for modeling real-life problems, (e) algebra as an aid to describing structural properties in elementary mathematics, and (f) algebra as a study of variables. They also raise the question whether school algebra represents a unidimensional trait.
Kanbir, Clements and Ellerton offer an unusual hybrid theoretical framework for their intervention study (by which seventh-grade students significantly improved their elementary algebra knowledge and skills). Their theoretical frame combined Charles Sanders Peirce’s triadic signifier-interpretant-signified theory, which is in the realm of semiotics, with Johann Friedrich Herbart’s theory of apperception, and Ken Clements’ and Gina Del Campo’s theory relating to the need to expand modes of communications in mathematics classrooms so that students engage in receptive and expressive modes. Practicing classroom teachers formed part of the research team.
This book appears in Springer’s series on the “History of Mathematics Education.” Not only does it include an important analysis of the history of school algebra, but it also adopts a theoretical frame which relies more on “theories from the past,” than on contemporary theories in the field of mathematics education. The results of the well-designed classroom intervention are sufficiently impressive that the study might have
created and illuminated a pathway for future researchers to take.
Автор: Antoine Trad, Damir Kalpic Название: Using Applied Mathematical Models for Business Transformation ISBN: 1799810097 ISBN-13(EAN): 9781799810094 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 35620.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Traditional business practices have been left behind due to the increased use of data analytics and information technology in companies worldwide. This development has led to businesses implementing transformative projects that use these new technologies in their decision-making systems. Altering the entire architecture of a company is a daunting task; however, researchers are finding methods through applied mathematics that can make it easier on companies. Implementing analytical models into current business processes is vital for professionals across the globe.
Using Applied Mathematical Models for Business Transformation is an essential reference source that discusses the advancement of decision-making systems in business environments with the use of applied mathematics, algorithms, and information technology. Featuring research on topics such as decision-making systems, critical success factors, and global enterprise architecture, this book is ideally designed for project managers, financial analysts, business strategists, software engineers, technical architects, students, researchers, and educators seeking coverage on the transformation of business practices using applied mathematics and information technology.
Описание: The poems and photographs in this book portray not only a state but a state of mind. For several decades, the author traveled the backroads and crossroads of South Carolina, observing and experiencing the thoughts and feelings of its disparate people - at times gracious, sometimes troublesome, occasionally alarming and regretful, always deeply engrained, and never negotiable. In these pages, you will see how love and hate and ignorance and gentility do a strange, awesome dance together, in a place where time and change must wait. Like other states, South Carolina boasts its share of official totems: its state song, state bird, nickname, beverage, fish, pet, and other fond frivolities. But after reading this collection of thoughts and images from times past and present, the reader will realize that every state, like this one, must have clearly adopted schizophrenia as its official condition: "a breakdown in the relation between thought, emotion, and behavior, leading to faulty perceptions and inappropriate actions and feelings." That`s the kind of condition that only a volume of poems and accompanying photographs can handle: raw, in depth, stark, and cushioned with affection. This book takes the reader on an intellectual journey of the state of things in years past, beginning in the soft and insouciant foothills of the Upcountry to the preening, portentous politicians, who populate the lake-laden Midlands, and finally to the languid and languorous Lowcountry. If it`s true, as they say, that life is mostly a collection of memories, then this slim volume offers its readers a profundity of historical insight, revelation, and--ultimately--truth.
Описание: Are you looking for a complete and detailed guide on options to improve your skills? Then keep reading...
If you want to make profits from the stock market, most people think in terms of buying a lot of shares and day or swing trading them.
That can work, but the downside of trading stocks and earning short term profits is that you have to invest thousands of dollars - even tens of thousands of dollars, in order to make a profit of $200 or $500.
What if there was a way to make a $200 profit in a single day on the stock market - only investing $100 or $200?
It turns out there is, and the way to do it is by trading options.
Options are a way to use leverage to earn big profits on the stock market. Leverage normally means using borrowed money in order to make profits, but in the case of options you use leverage in a completely novel way. An options contract gives you the control of one hundred shares of stock, and you can earn big profits on the price movements of that stock without actually owning it. That is true leverage
What's more, as we'll see options allow you to make profits on the price movements of stock that are not possible when simply buying shares. For example, you can make money on options contracts in the same way that you would buying stock, that is if the share price of a given stock goes up, you earn a profit.
But, unless you are a big-time player, that is the only way you can make profits on the price movements of stock - buying shares. It turns out that with options you can easily make profits on declining stock prices, even when you only invest a hundred or two hundred dollars.
This book covers the following topics:
Passive Income
Options Trading Basics
Risk Management
Choosing a Broker
Brokers and Trading Platforms
Calls and Puts
Options Trading Strategies
Collars
Covered Calls
Technical Analysis
Understanding Volatility
Beginners Common Mistakes
Controlling your Emotions
...And much more
Moreover, you can make profits on options if the price of the stock doesn't move at all. In this book we are going to show you the exact steps that you can take in order to earn profits from stock that isn't moving very much. Using a secret strategy called the iron condor, you can make profits when the stock price stays the same or bounces around in between two fixed values.
We'll also show you how to earn money when a stock is positioned to make a large price move - but you have no idea which direction that price move is going to go. For example, stock can move big when there is an earnings call. However, before the call nobody knows if the company is going to report earnings that meet expectations or not.
As an options trader, it won't matter - you can make profits either way. And we are going to show you how in this book.
Options also provide a way to earn a regular income. Dividend investors have to sink hundreds of thousands of dollars - at a minimum - to earn a decent income from their stocks. As an income generating device, options allow you to earn a solid middle-class income using only a few thousand dollars. The problem is most people have no idea how to go about it - but we're going to give you the exact steps you need in order to make this happen.
But before we learn all the secrets behind options trading, we need to learn what options really are and how they work. Are you ready to learn more?
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Автор: Antoine Trad, Damir Kalpi? Название: Using Applied Mathematical Models for Business Transformation ISBN: 1799810100 ISBN-13(EAN): 9781799810100 Издательство: Mare Nostrum (Eurospan) Цена: 29245.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Traditional business practices have been left behind due to the increased use of data analytics and information technology in companies worldwide. This development has led to businesses implementing transformative projects that use these new technologies in their decision-making systems. Altering the entire architecture of a company is a daunting task; however, researchers are finding methods through applied mathematics that can make it easier on companies. Implementing analytical models into current business processes is vital for professionals across the globe. Using Applied Mathematical Models for Business Transformation is an essential reference source that discusses the advancement of decision-making systems in business environments with the use of applied mathematics, algorithms, and information technology. Featuring research on topics such as decision-making systems, critical success factors, and global enterprise architecture, this book is ideally designed for project managers, financial analysts, business strategists, software engineers, technical architects, students, researchers, and educators seeking coverage on the transformation of business practices using applied mathematics and information technology.
Автор: Jaap Schaveling; Bill Bryan Название: Making Better Decisions Using Systems Thinking ISBN: 3319876627 ISBN-13(EAN): 9783319876627 Издательство: Springer Рейтинг: Цена: 5589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a framework to help managers go beyond simply fighting fires every day, offering the tools to address the underlying causes of recurring problems and deliver long-term solutions. The most obvious part of any problem is the pain it causes.
Автор: Burns, Robert Burns, Richard Название: Business research methods and statistics using spss ISBN: 1412945305 ISBN-13(EAN): 9781412945301 Издательство: Sage Publications Рейтинг: Цена: 9662.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A simple, logically sequenced guide to research methods and statistics in business based on SPSS
Описание: Building an analysis ecosystem for a smarter approach to intelligence Keith Carter`s Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast! is the comprehensive guide to achieving the dream that business intelligence practitioners have been chasing since the concept itself came into being.
Автор: Mamta Mittal; Valentina E. Balas; Lalit Mohan Goya Название: Big Data Processing Using Spark in Cloud ISBN: 9811344485 ISBN-13(EAN): 9789811344480 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding of Spark RDDs and how RDD complements big data’s immutable nature, and solves it with lazy evaluation, cacheable and type inference. It also addresses advanced topics in Spark, starting with the basics of Scala and the core Spark framework, and exploring Spark data frames, machine learning using Mllib, graph analytics using Graph X and real-time processing with Apache Kafka, AWS Kenisis, and Azure Event Hub. It then goes on to investigate Spark using PySpark and R. Focusing on the current big data stack, the book examines the interaction with current big data tools, with Spark being the core processing layer for all types of data.The book is intended for data engineers and scientists working on massive datasets and big data technologies in the cloud. In addition to industry professionals, it is helpful for aspiring data processing professionals and students working in big data processing and cloud computing environments.
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