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Math and Literature (Grades 2-3)
by Marilyn Burns Stephanie SheffieldFrom Quack and Count to Harry Potter, the imaginative ideas in children's books come to life in math lessons through this unique series. Each resource provides more than 20 classroom-tested lessons that engage children in mathematical problem solving and reasoning. Each lesson features an overview, materials required, and a vignette of how the lesson actually unfolded in a classroom. This book includes a reference chart indicating the mathematical concept each lesson covers, such as number, geometry, patterns, algebra, measurement, data analysis, or probability. Topics include counting, sorting, addition, subtraction, money, measurement, and patterns.
Math and Literature (Grades K-1)
by Marilyn Burns Stephanie SheffieldFrom Quack and Count to Harry Potter, the imaginative ideas in children's books come to life in math lessons through this unique series. Each resource provides more than 20 classroom-tested lessons that engage children in mathematical problem solving and reasoning. Each lesson features an overview, materials required, and a vignette of how the lesson actually unfolded in a classroom. This book includes a reference chart indicating the mathematical concept each lesson covers, such as number, geometry, patterns, algebra, measurement, data analysis, or probability. Topics include counting, sorting, addition, subtraction, money, measurement, and patterns.
Math and Logic Puzzles That Make Kids Think!: Grades 6-8
by Jeffrey J. WankoKids love exploring new ways of solving problems, especially in fun and challenging puzzle formats. In Math and Logic Puzzles That Make Kids Think!, the author presents several variations on Sudoku—the most well-known type of logic puzzle—in an easy-to-use, exciting format perfect for any math classroom. These language-independent logic puzzles provide kids with great problems to stretch how they think and reason.Each puzzle variation utilizes some of the basic strategies of Sudoku puzzles, but each one also draws upon other areas of mathematics—ordering of numbers, properties of geometric shapes, basic operations, or enriched number sense. This book provides teachers with puzzles arranged by difficulty level that can be used to support and enhance students' mathematical investigations. It also provides a new and exciting context for the development of students' deductive reasoning skills, which can lay the foundation for further mathematical exploration.Grades 6-8
Math and Science Investigations: Helping Young Learners Make Big Discoveries
by The Vermont Center for the Book Sally AndersonChildren's books and hands-on investigations bring math and science concepts to life! Young children are naturally interested in the patterns and processes occurring in the world around them. They are beginning to learn about the changes happening each day, month, and season. They are starting to ask questions about the environment and world beyond. They are anxious to explore the creatures in their own backyard.Math and Science Investigations supports young children's natural curiosity and encourages them to explore what happens around them. Hands-on investigations help children learn the skills, concepts, and standards of mathematics, science, language, and literacy - all at the same time - using some of their favorite books. Themes include: Exploring Spaces (and Places!); What Comes Next?; Out and About; and Growing and Changing.Each investigation includes: * General introduction to the theme * Ideas to start you thinking about math, science, language, and literacy * Vocabulary related to the topic * Children's book suggestions
Math and Science for Young Children
by Rosalind CharlesworthMATH AND SCIENCE FOR YOUNG CHILDREN, Eighth Edition, is an introduction to engaging math and science experiences for early childhood and early elementary education programs, and provides an organized, sequential approach to creating a developmentally appropriate math and science curriculum.
Math and the Mona Lisa: The Art and Science of Leonardo da Vinci
by Bulent AtalayLeonardo da Vinci was one of history's true geniuses, equally brilliant as an artist, scientist, and mathematician. Readers of The Da Vinci Code were given a glimpse of the mysterious connections between math, science, and Leonardo's art. Math and the Mona Lisa picks up where The Da Vinci Code left off, illuminating Leonardo's life and work to uncover connections that, until now, have been known only to scholars. Bülent Atalay, a distinguished scientist and artist, examines the science and mathematics that underlie Leonardo's work, paying special attention to the proportions, patterns, shapes, and symmetries that scientists and mathematicians have also identified in nature. Following Leonardo's own unique model, Atalay searches for the internal dynamics of art and science, revealing to us the deep unity of the two cultures. He provides a broad overview of the development of science from the dawn of civilization to today's quantum mechanics. From this base of information, Atalay offers a fascinating view into Leonardo's restless intellect and modus operandi, allowing us to see the source of his ideas and to appreciate his art from a new perspective.From the Hardcover edition.
Math at Hand: A Mathematics Handbook
by Great Source Education GroupMath at Hand is a resource book. That means you're not expected to read it from cover to cover. Instead, you'll want to keep it handy for those times when you're not clear about a math topic and need a place to look up definitions, procedures, explanations, and rules.
Math at Their Own Pace
by Greg NelsonAs a dedicated early childhood teacher, you aim to provide an environment where students make new discoveries and test their limits. But when it comes to teaching developmentally appropriate math, you might welcome help from an expert with teaching experience based on the latest research on math learning.Math at Their Own Pace offers a series of predesigned, inexpensive activities that you can create and place "on the shelf" for children to use when they are developmentally ready and interested. This child-directed approach provides a broad range of hands-on math experiences that will help your students learn to solve problems creatively.Math at Their Own Pace covers:awareness of stable quantities and emergence of counting skillsrecognizing and writing the numerals 0 though 9counting to 10 and beyondemergence of whole-part awarenessGreg Nelson, PhD, is a professor of early childhood education at Bridgewater State College in Bridgewater, Massachusetts, and has been a lead teacher in a Montessori program. He holds a PhD in educational psychology, human development, and cognition.
Math for All Participant Book (3–5)
by Babette Moeller Barbara Dubitsky Marvin Cohen Karen Marschke-Tobier Hal R. Melnick Linda MetnetskyA mathematics professional development program for inclusive classrooms This professional development program shows general and special education teachers how to collaborate to provide a high-quality, standards-based mathematics education to all students, including those with disabilities. This book includes the handouts and reproducibles for the program. The corresponding kit includes a facilitator’s guide and a companion DVD. TheMath for All learning experiences help teachers: Assess students’ strengths and needs Use multiple instructional strategies to teach specific math concepts Tailor lessons based on individual students' strengths and needs to help them achieve high-quality learning outcomes in mathematics
Math for All Seasons (Scholastic Bookshelf)
by Greg Tang Harry BriggsGreg Tang follows up the fun, innovative, New York Times bestseller GRAPES OF MATH with his second uproariously punny math book -- this time with a theme of seasons and a focus on groups of fives.Your challenge is to find the sumWithout counting one by oneWhy not count? It's much too slow --Adding is the way to go!Make clever groups before you start --Then add them in a way that's smart!MATH FOR ALL SEASONS will challenge every kid -- and every parent -- to open their minds and solve problems in new and unexpected ways. By looking for patterns, symmetries, and familiar number combinations within eye-catching pictures, math will become easier, quicker, and more fun than anyone could have imagined!
Math for Automotive Technicians
by Luke D. ThompsonMath for Automotive Technicians is designed to help you learn and apply basic math skills. The first part of the text provides 12 lessons that develop a mastery of basic math skills in the context of automotive service. Coverage includes whole number operations, decimals, greater than/less than, tape measure fractions, conversion, graphs and tables, formulas, measurement, and comparing to specifications. The second part consists of 96 case studies that apply and extend the basic math skills with actual vehicle procedures, data, and specifications. For ease of integration with curricula based on the NATEF standards, the case studies are grouped into automotive service areas, such as chassis systems, engine mechanical, electrical, etc. Answers to odd-numbered practice problems are listed in the back of the text. Math for Automotive Technicians is well-suited for use as either the core text in a dedicated applied math course or a supplemental text in an automotive technology program.
Math for Computer Applications
by The Editors of REAREA's Essentials provide quick and easy access to critical information in a variety of different fields, ranging from the most basic to the most advanced. As its name implies, these concise, comprehensive study guides summarize the essentials of the field covered. Essentials are helpful when preparing for exams, doing homework and will remain a lasting reference source for students, teachers, and professionals. Topics include logic, set theory, relations and functions, vectors and matrices, graph theory, counting and binomial theorem, probability, Boolean algebra, and linear programming and game theory.
Math for Deep Learning: What You Need to Know to Understand Neural Networks
by Ronald T. KneuselMath for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the deep learning toolkits.With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning. You&’ll work through Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential calculus, and matrix calculus as well as how to implement data flow in a neural network, backpropagation, and gradient descent. You&’ll also use Python to work through the mathematics that underlies those algorithms and even build a fully-functional neural network.In addition you&’ll find coverage of gradient descent including variations commonly used by the deep learning community: SGD, Adam, RMSprop, and Adagrad/Adadelta.
Math for English Majors: A Human Take on the Universal Language
by Ben OrlinIn this trailblazing work from the internet&’s most empathetic math teacher, Ben Orlin unravels the secrets behind the world&’s most confounding language. Math, it is said, is the "universal language.&” But if a language brings people together, why does math make so many of us feel so alone? In Math for English Majors, bestselling author Ben Orlin (Math with Bad Drawings) offers fresh insights for the mathematically perplexed and mathematical masters alike. As Orlin reveals, the &“universal language&” is precisely that: a language. It has nouns (numbers), verbs (calculations), and grammar (algebra). It has funny idioms (&“exponential&”), quirky etymologies (&“squaring&”), and peculiar ambiguities (&“PEMDAS&”). It even has its own form of literature, with equations ranging from the simple wisdom of A2 + B2 = C2 to the startling profundity of eπi + 1 = 0. Along the way, he shares relatable stories of his own mathematical misunderstandings and epiphanies, as well as the trials and triumphs of his students. And, as always, he sheds further light and levity on the subject with his inept—yet strangely effective—drawings.
Math for Financial Literacy
by Todd Knowlton Paul Gray Jr.This book prepares your students for the real world. Written specifically for teens, Math for Financial Literacy provides instruction for relevant math concepts that students can easily relate to their daily lives. <p><p> In Math for Financial Literacy, students learn how to apply basic math concepts to the tasks they will use in the real world, including earning a paycheck, managing a bank account, using credit cards, and creating a budget. Other practical topics are presented to help students become financially capable and responsible. Each chapter is designed to present content in small segments for optimal comprehension.
Math for Meds: Dosages and Solutions (10th Edition)
by Anna M. CurrenIncrease your confidence and aptitude in dosage calculations with the best-selling ratio and proportion book on the market! Learn from the master, Anna Curren, who has successfully taught dosage calculations to thousands of students. This new edition of Math for Meds includes full-color drug labels and syringes throughout, which are tied to questions that test your understanding and mastery of the concepts. With the goal of helping you become a safe and effective practitioner, Math for Meds walks you through basic and advanced calculations in detail, including intravenous and pediatric calculations.
Math for Programmers: 3D graphics, machine learning, and simulations with Python
by Paul OrlandIn Math for Programmers you&’ll explore important mathematical concepts through hands-on coding. Filled with graphics and more than 300 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today&’s hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you&’ll master the key Python libraries used to turn them into real-world software applications.Summary To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today&’s hottest programming fields. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Skip the mathematical jargon: This one-of-a-kind book uses Python to teach the math you need to build games, simulations, 3D graphics, and machine learning algorithms. Discover how algebra and calculus come alive when you see them in code! About the book In Math for Programmers you&’ll explore important mathematical concepts through hands-on coding. Filled with graphics and more than 300 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today&’s hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you&’ll master the key Python libraries used to turn them into real-world software applications. What's inside Vector geometry for computer graphics Matrices and linear transformations Core concepts from calculus Simulation and optimization Image and audio processing Machine learning algorithms for regression and classification About the reader For programmers with basic skills in algebra. About the author Paul Orland is a programmer, software entrepreneur, and math enthusiast. He is co-founder of Tachyus, a start-up building predictive analytics software for the energy industry. You can find him online at www.paulor.land. Table of Contents 1 Learning math with code PART I - VECTORS AND GRAPHICS 2 Drawing with 2D vectors 3 Ascending to the 3D world 4 Transforming vectors and graphics 5 Computing transformations with matrices 6 Generalizing to higher dimensions 7 Solving systems of linear equations PART 2 - CALCULUS AND PHYSICAL SIMULATION 8 Understanding rates of change 9 Simulating moving objects 10 Working with symbolic expressions 11 Simulating force fields 12 Optimizing a physical system 13 Analyzing sound waves with a Fourier series PART 3 - MACHINE LEARNING APPLICATIONS 14 Fitting functions to data 15 Classifying data with logistic regression 16 Training neural networks
Math for Programming
by Ronald T. KneuselA one-stop-shop for all the math you should have learned for your programming career.Every great programming challenge has mathematical principles at its heart. Whether you&’re optimizing search algorithms, building physics engines for games, or training neural networks, success depends on your grasp of core mathematical concepts. In Math for Programming, you&’ll master the essential mathematics that will take you from basic coding to serious software development. You&’ll discover how vectors and matrices give you the power to handle complex data, how calculus drives optimization and machine learning, and how graph theory leads to advanced search algorithms.Through clear explanations and practical examples, you&’ll learn to:Harness linear algebra to manipulate data with unprecedented efficiencyApply calculus concepts to optimize algorithms and drive simulationsUse probability and statistics to model uncertainty and analyze dataMaster the discrete mathematics that powers modern data structuresSolve dynamic problems through differential equationsWhether you&’re seeking to fill gaps in your mathematical foundation or looking to refresh your understanding of core concepts, Math for Programming will turn complex math into a practical tool you&’ll use every day.
Math for Scientists: Refreshing the Essentials
by Natasha Maurits Branislava Ćurčić-BlakeThis book reviews math topics relevant to non-mathematics students and scientists, but which they may not have seen or studied for a while. These math issues can range from reading mathematical symbols, to using complex numbers, dealing with equations involved in calculating medication equivalents, the General Linear Model (GLM) used in e.g. neuroimaging analysis, finding the minimum of a function, independent component analysis, or filtering approaches. Almost every student or scientist, will at some point run into mathematical formulas or ideas in scientific papers that may be hard to understand, given that formal math education may be some years ago. In this book we will explain the theory behind many of these mathematical ideas and expressions and provide readers with the tools to better understand them. We will revisit high school mathematics and extend and relate this to the mathematics you need to understand the math you may encounter in the course of your research. This book will help you understand the math and formulas in the scientific papers you read. To achieve this goal, each chapter mixes theory with practical pen-and-paper exercises such that you (re)gain experience with solving math problems yourself. Mnemonics will be taught whenever possible. To clarify the math and help readers apply it, each chapter provides real-world and scientific examples.In this new edition, two new chapters covering statistics and differential equations have been added, which have been workshopped in the 'authors' popular lecture series in order to maximize the benefit for readers.
Math for Security: From Graphs and Geometry to Spatial Analysis
by Daniel ReillyUse applied math to map fire stations, develop facial recognition software, solve the art gallery problem and more in this hands-on, real-world infosec book.Explore the intersection of mathematics and computer security with this engaging and accessible guide.Math for Security will equip you with essential tools to tackle complex security problems head on. All you need are some basic programming skills. Once you&’ve set up your development environment and reviewed the necessary Python syntax and math notation in the early chapters, you&’ll dive deep into practical applications, leveraging the power of math to analyze networks, optimize resource distribution, and much more. In the book&’s final chapters, you&’ll take your projects from proof of concepts to viable applications and explore options for delivering them to end users.As you work through various security scenarios, you&’ll:Employ packet analysis and graph theory to detect data exfiltration attempts in a networkPredict potential targets and find weaknesses in social networks with Monte Carlo simulationsUse basic geometry and OpenCell data to triangulate a phone&’s location without GPSApply computational geometry to Voronoi diagrams for use in emergency service planningTrain a facial recognition system with machine learning for real-time identity verificationUse spatial analysis to distribute physical security features effectively in an art galleryWhether you&’re an aspiring security professional, a social network analyst, or an innovator seeking to create cutting-edge security solutions, this book will empower you to solve complex problems with precision and confidence. Embrace the intricate world of math as your secret weapon in computer security!Covers Python 3.x
Math for the Automotive Trade
by John C. Peterson William J. DekrygerMATH FOR THE AUTOMOTIVE TRADE, 5E is an up-to-date, highly practical book that helps readers develop a real-world understanding of math concepts and applications in the modern automotive repair trade. Written at a beginner's level, this book is a comprehensive instructional workbook that shows readers how to solve the types of math problems faced regularly by automotive technicians. Unique to MATH FOR THE AUTOMOTIVE TRADE, 5E are realistic practice exercises that allow readers to determine if their answers fall within manufacturers' specifications and repair orders that are completed by finding the appropriate information in the professional literature and reference material, included in the book's valuable appendices.
Math for the Pharmacy Technician: Concepts and Calculations
by Kathryn A. Booth Lynn M. EglerRecognizing the enormous need for well-trained pharmacy technicians as well as the serious need to decrease medication errors, we have developed Math for Pharmacy Technicians: Concepts and Calculations. This textbook is organized from simple to complex and walks the student through the necessary information to pass the math portion of the Pharmacy Technician Certification Board (PTCB) exam. More important, we have created pharmacy technician-specific information that is nonthreatening and will help the student learn to safely practice as a pharmacy technician. This text is organized into 11 chapters, along with a pretest and a comprehensive evaluation, or post test.
Math for the Professional Kitchen
by The Culinary Institute of America Laura Dreesen Michael Nothnagel Susan WysockiThe book is a valuable resource not only in the classroom but also in the kitchen as students embark on their professional careers, where math skills play a crucial role in the ever-important bottom line.
Math in EPUB Advanced Testbook
by Math Task ForceThis is a test of MathML in EPUB, including MathML with Image Fallback tests