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The Mathematics In Our Hands


The Mathematics In Our Hands
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The Mathematics In Our Hands


The Mathematics In Our Hands
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Author : Christina M Krause
language : en
Publisher: Springer
Release Date : 2016-01-08

The Mathematics In Our Hands written by Christina M Krause and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-08 with Education categories.


In her empirical study, Christina Krause investigates how gestures can contribute to epistemic processes in social interactions. She expands the traditional speech-based approach to analyzing social processes of constructing mathematical knowledge by employing a multimodal perspective. Adopting a semiotic approach, she takes into account two functions of gestures as signs used by the participants of the social interaction: the representational function concerns the ways in which gestures take part in referring to a mathematical object in processes of knowledge construction and the epistemic function relates to the ways in which they can contribute to the performance of collective epistemic actions. The results of this study reveal that gestures influence the epistemic process significantly more than previously thought and indicate factors underlying this influence.



Hands On History


Hands On History
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Author : Amy Shell-Gellasch
language : en
Publisher: MAA
Release Date : 2007

Hands On History written by Amy Shell-Gellasch and has been published by MAA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Education categories.


In an increasingly electronic society, these exercises are designed to help school and collegiate educators use historical devices of mathematics to balance the digital side of mathematics.



The Mathematics Of Voting And Elections A Hands On Approach


The Mathematics Of Voting And Elections A Hands On Approach
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Author : Jonathan K. Hodge
language : en
Publisher: American Mathematical Soc.
Release Date : 2018-10-01

The Mathematics Of Voting And Elections A Hands On Approach written by Jonathan K. Hodge and has been published by American Mathematical Soc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-01 with Elections categories.


The Mathematics of Voting and Elections: A Hands-On Approach, Second Edition, is an inquiry-based approach to the mathematics of politics and social choice. The aim of the book is to give readers who might not normally choose to engage with mathematics recreationally the chance to discover some interesting mathematical ideas from within a familiar context, and to see the applicability of mathematics to real-world situations. Through this process, readers should improve their critical thinking and problem solving skills, as well as broaden their views of what mathematics really is and how it can be used in unexpected ways. The book was written specifically for non-mathematical audiences and requires virtually no mathematical prerequisites beyond basic arithmetic. At the same time, the questions included are designed to challenge both mathematical and non-mathematical audiences alike. More than giving the right answers, this book asks the right questions. The book is fun to read, with examples that are not just thought-provoking, but also entertaining. It is written in a style that is casual without being condescending. But the discovery-based approach of the book also forces readers to play an active role in their learning, which should lead to a sense of ownership of the main ideas in the book. And while the book provides answers to some of the important questions in the field of mathematical voting theory, it also leads readers to discover new questions and ways to approach them. In addition to making small improvements in all the chapters, this second edition contains several new chapters. Of particular interest might be Chapter 12 which covers a host of topics related to gerrymandering.



Inside The Mathematics Class


Inside The Mathematics Class
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Author : Uwe Gellert
language : en
Publisher: Springer
Release Date : 2018-09-26

Inside The Mathematics Class written by Uwe Gellert and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-26 with Education categories.


This volume is a forward–looking intersection of Sociological perspectives on mathematics classrooms and socio-political perspectives on mathematics education. The first perspective has generated a substantial body of knowledge in the mathematics education. Interactionist research has deepened our understanding of interaction processes, socio-mathematical norms and the negotiation of meaning, generating a ‘micro-sociology’ or a ‘micro-ethnography’ of the mathematics classroom. More recently, socio-political perspectives on mathematics education interrelate educational practices in mathematics with macro-social issues of social equity, class, and race and with the policies that regulate institutionalized mathematics education. This book documents, strings together and juxtaposes research that uses ethnographical classroom data to explain, on the one hand, how socio-political issues play out in the mathematics class. On the other hand, it illuminates how class, race etc. affect the micro-sociology of the mathematics classroom. The volume advances the knowledge in the field by providing an empirical grounding of socio-political research on mathematics education, and it extends the frame in which mathematical classroom cultures are conceived.



Hands On Math Projects With Real Life Applications


Hands On Math Projects With Real Life Applications
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Author : Judith A Muschla
language : en
Publisher: Wiley + ORM
Release Date : 2011-01-04

Hands On Math Projects With Real Life Applications written by Judith A Muschla and has been published by Wiley + ORM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-04 with Education categories.


The second edition of this hands-on math guide features sixty engaging projects for students in grades six to twelve learn math concepts and skills. This book is filled with classroom-tested projects that help students build skills in problem solving, critical thinking, and decision making. They also support a positive group environment by emphasize cooperative learning, group sharing, verbalizing ideas, and research skills, as well as writing clearly in mathematics and across other subject areas. Each of the projects follows the same proven format and includes instructions for the teacher, a Student Guide, and one or more reproducible datasheets and worksheets. They all include the elements needed for a successful individual or group learning experience. This second edition includes new projects and information about technology-based and e-learning strategies. Hands-On Math Projects with Real-Life Applications includes a special Skills Index that identifies the skills emphasized in each project. This book will save you time and help you instill in your students a genuine appreciation for the world of mathematics.



Hands On Mathematics For Deep Learning


Hands On Mathematics For Deep Learning
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Author : Jay Dawani
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-06-12

Hands On Mathematics For Deep Learning written by Jay Dawani and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-12 with Computers categories.


A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures Key FeaturesUnderstand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networksLearn the mathematical concepts needed to understand how deep learning models functionUse deep learning for solving problems related to vision, image, text, and sequence applicationsBook Description Most programmers and data scientists struggle with mathematics, having either overlooked or forgotten core mathematical concepts. This book uses Python libraries to help you understand the math required to build deep learning (DL) models. You'll begin by learning about core mathematical and modern computational techniques used to design and implement DL algorithms. This book will cover essential topics, such as linear algebra, eigenvalues and eigenvectors, the singular value decomposition concept, and gradient algorithms, to help you understand how to train deep neural networks. Later chapters focus on important neural networks, such as the linear neural network and multilayer perceptrons, with a primary focus on helping you learn how each model works. As you advance, you will delve into the math used for regularization, multi-layered DL, forward propagation, optimization, and backpropagation techniques to understand what it takes to build full-fledged DL models. Finally, you’ll explore CNN, recurrent neural network (RNN), and GAN models and their application. By the end of this book, you'll have built a strong foundation in neural networks and DL mathematical concepts, which will help you to confidently research and build custom models in DL. What you will learnUnderstand the key mathematical concepts for building neural network modelsDiscover core multivariable calculus conceptsImprove the performance of deep learning models using optimization techniquesCover optimization algorithms, from basic stochastic gradient descent (SGD) to the advanced Adam optimizerUnderstand computational graphs and their importance in DLExplore the backpropagation algorithm to reduce output errorCover DL algorithms such as convolutional neural networks (CNNs), sequence models, and generative adversarial networks (GANs)Who this book is for This book is for data scientists, machine learning developers, aspiring deep learning developers, or anyone who wants to understand the foundation of deep learning by learning the math behind it. Working knowledge of the Python programming language and machine learning basics is required.



Math Games Lab For Kids


Math Games Lab For Kids
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Author : Rebecca Rapoport
language : en
Publisher: Lab for Kids
Release Date : 2017

Math Games Lab For Kids written by Rebecca Rapoport and has been published by Lab for Kids this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Juvenile Nonfiction categories.


Math is the foundation of all sciences and key to understanding the world around us. Math Games Lab for Kids uses over fifty hands-on activities to make learning a variety of math concepts fun and easy for kids. Make learning math fun by sharing these hands-on labs with your child. Math Games Lab for Kids presents more than 50 activities that incorporate coloring, drawing, games, and making shapes to make math more than just numbers. With Math Games Lab for Kids, kids can: Explore geometry and topology by making prisms, antiprisms, Platonic solids, and M bius strips. Build logic skills by playing and strategizing through tangrams, toothpick puzzles, and the game of Nim. Draw and chart graphs to learn the language of connections. Discover how to color maps like a mathematician by using the fewest colors possible. Create mind bending fractals with straight lines and repeat shapes. And don't worry about running to the store for expensive supplies Everything needed to complete the activities can be found in the book or around the house. Math is more important than ever. Give your child a great experience and solid foundation with Math Games Lab for Kids.



How Not To Be Wrong


How Not To Be Wrong
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Author : Jordan Ellenberg
language : en
Publisher: Penguin
Release Date : 2014-05-29

How Not To Be Wrong written by Jordan Ellenberg and has been published by Penguin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-29 with Mathematics categories.


“Witty, compelling, and just plain fun to read . . ." —Evelyn Lamb, Scientific American The Freakonomics of math—a math-world superstar unveils the hidden beauty and logic of the world and puts its power in our hands The math we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it. Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer? How Not to Be Wrong presents the surprising revelations behind all of these questions and many more, using the mathematician’s method of analyzing life and exposing the hard-won insights of the academic community to the layman—minus the jargon. Ellenberg chases mathematical threads through a vast range of time and space, from the everyday to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia’s views on crime and punishment, the psychology of slime molds, what Facebook can and can’t figure out about you, and the existence of God. Ellenberg pulls from history as well as from the latest theoretical developments to provide those not trained in math with the knowledge they need. Math, as Ellenberg says, is “an atomic-powered prosthesis that you attach to your common sense, vastly multiplying its reach and strength.” With the tools of mathematics in hand, you can understand the world in a deeper, more meaningful way. How Not to Be Wrong will show you how.



Hands On Math


Hands On Math
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Author : Frances McBroom Thompson, Ed.D.
language : en
Publisher: Jossey-Bass
Release Date : 1994-05-10

Hands On Math written by Frances McBroom Thompson, Ed.D. and has been published by Jossey-Bass this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-05-10 with Education categories.


Here's a super treasury of 279 exciting math games and activities that help students learn by engaging both their minds and their bodies. Dispensing with tired "rote" learning and memorization, Hands-On Math! uses fun-filled exercises that encourage your students to think and reason mathematically. Illustrated, hands-on activities organized in natural concrete-to-abstract progressions give your students the tools they need to solve math problems, while encouraging them to think independently and apply math to their own lives. In line with the latest NCTM guidelines, this invaluable teacher's aid develops basic and advanced math skills through an effective combination of concrete exercises (manipulatives), pictorial models and cooperative learning experiences. For easy use, this handy resource is organized into the following eight sections, each covering concepts from a different area of mathematics.



Count Like An Egyptian


Count Like An Egyptian
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Author : David Reimer
language : en
Publisher: Princeton University Press
Release Date : 2014-05-11

Count Like An Egyptian written by David Reimer and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-11 with Mathematics categories.


A lively collection of fun and challenging problems in ancient Egyptian math The mathematics of ancient Egypt was fundamentally different from our math today. Contrary to what people might think, it wasn't a primitive forerunner of modern mathematics. In fact, it can’t be understood using our current computational methods. Count Like an Egyptian provides a fun, hands-on introduction to the intuitive and often-surprising art of ancient Egyptian math. David Reimer guides you step-by-step through addition, subtraction, multiplication, and more. He even shows you how fractions and decimals may have been calculated—they technically didn’t exist in the land of the pharaohs. You’ll be counting like an Egyptian in no time, and along the way you’ll learn firsthand how mathematics is an expression of the culture that uses it, and why there’s more to math than rote memorization and bewildering abstraction. Reimer takes you on a lively and entertaining tour of the ancient Egyptian world, providing rich historical details and amusing anecdotes as he presents a host of mathematical problems drawn from different eras of the Egyptian past. Each of these problems is like a tantalizing puzzle, often with a beautiful and elegant solution. As you solve them, you’ll be immersed in many facets of Egyptian life, from hieroglyphs and pyramid building to agriculture, religion, and even bread baking and beer brewing. Fully illustrated in color throughout, Count Like an Egyptian also teaches you some Babylonian computation—the precursor to our modern system—and compares ancient Egyptian mathematics to today’s math, letting you decide for yourself which is better.