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| teach yourself math: Calculus: A Complete Introduction Hugh Neill, 2018-06-07 Calculus: A Complete Introduction is the most comprehensive yet easy-to-use introduction to using calculus. Written by a leading expert, this book will help you if you are studying for an important exam or essay, or if you simply want to improve your knowledge. The book covers all areas of calculus, including functions, gradients, rates of change, differentiation, exponential and logarithmic functions and integration. Everything you will need to know is here in one book. Each chapter includes not only an explanation of the knowledge and skills you need, but also worked examples and test questions. |
| teach yourself math: The Joy of X Steven Henry Strogatz, 2012 A delightful tour of the greatest ideas of math, showing how math intersects with philosophy, science, art, business, current events, and everyday life, by an acclaimed science communicator and regular contributor to the New York Times. |
| teach yourself math: Everyone Can Learn Math Alice Aspinall, 2018-10-16 How do you approach a math problem that challenges you? Do you keep trying until you reach a solution? Or are you like Amy, who gets frustrated easily and gives up? Amy is usually a happy and enthusiastic student in grade five who loves to dance, but she is struggling with a tough math assignment. She doesn’t think she is good at math because her classmates always get the answers faster than she does and sometimes she uses her fingers to help her count. Even though her mom tries to help her, Amy is convinced she just cannot do math. She decides not to do the assignment at all since she thinks she wouldn’t do well anyway. As Amy goes about her day, her experiences at ballet class, the playground, and gym class have her thinking back to how she gave up on her math assignment. She starts to notice that hard-work, practice, and dedication lead to success, thanks to her friends and teachers. She soon comes to understand that learning math is no different than learning any other skill in life. With some extra encouragement from her math teacher, a little help from her mom, and a new attitude, Amy realizes that she can do math! |
| teach yourself math: Visible Learning for Mathematics, Grades K-12 John Hattie, Douglas Fisher, Nancy Frey, Linda M. Gojak, Sara Delano Moore, William Mellman, 2016-09-15 Rich tasks, collaborative work, number talks, problem-based learning, direct instruction…with so many possible approaches, how do we know which ones work the best? In Visible Learning for Mathematics, six acclaimed educators assert it’s not about which one—it’s about when—and show you how to design high-impact instruction so all students demonstrate more than a year’s worth of mathematics learning for a year spent in school. That’s a high bar, but with the amazing K-12 framework here, you choose the right approach at the right time, depending upon where learners are within three phases of learning: surface, deep, and transfer. This results in “visible” learning because the effect is tangible. The framework is forged out of current research in mathematics combined with John Hattie’s synthesis of more than 15 years of education research involving 300 million students. Chapter by chapter, and equipped with video clips, planning tools, rubrics, and templates, you get the inside track on which instructional strategies to use at each phase of the learning cycle: Surface learning phase: When—through carefully constructed experiences—students explore new concepts and make connections to procedural skills and vocabulary that give shape to developing conceptual understandings. Deep learning phase: When—through the solving of rich high-cognitive tasks and rigorous discussion—students make connections among conceptual ideas, form mathematical generalizations, and apply and practice procedural skills with fluency. Transfer phase: When students can independently think through more complex mathematics, and can plan, investigate, and elaborate as they apply what they know to new mathematical situations. To equip students for higher-level mathematics learning, we have to be clear about where students are, where they need to go, and what it looks like when they get there. Visible Learning for Math brings about powerful, precision teaching for K-12 through intentionally designed guided, collaborative, and independent learning. |
| teach yourself math: Teach Yourself Mathematics Trevor Johnson, Hugh Neill, 2008-10-21 Advance your math skills Teach Yourself Mathematics is packed with worked examples, clear explanations, and exercises with answers. It covers basic math, algebra, geometry, percentages, fractions, probability, and more. |
| teach yourself math: Ultralearning Scott H. Young, 2019-08-06 Now a Wall Street Journal bestseller. Learn a new talent, stay relevant, reinvent yourself, and adapt to whatever the workplace throws your way. Ultralearning offers nine principles to master hard skills quickly. This is the essential guide to future-proof your career and maximize your competitive advantage through self-education. In these tumultuous times of economic and technological change, staying ahead depends on continual self-education—a lifelong mastery of fresh ideas, subjects, and skills. If you want to accomplish more and stand apart from everyone else, you need to become an ultralearner. The challenge of learning new skills is that you think you already know how best to learn, as you did as a student, so you rerun old routines and old ways of solving problems. To counter that, Ultralearning offers powerful strategies to break you out of those mental ruts and introduces new training methods to help you push through to higher levels of retention. Scott H. Young incorporates the latest research about the most effective learning methods and the stories of other ultralearners like himself—among them Benjamin Franklin, chess grandmaster Judit Polgár, and Nobel laureate physicist Richard Feynman, as well as a host of others, such as little-known modern polymath Nigel Richards, who won the French World Scrabble Championship—without knowing French. Young documents the methods he and others have used to acquire knowledge and shows that, far from being an obscure skill limited to aggressive autodidacts, ultralearning is a powerful tool anyone can use to improve their career, studies, and life. Ultralearning explores this fascinating subculture, shares a proven framework for a successful ultralearning project, and offers insights into how you can organize and exe - cute a plan to learn anything deeply and quickly, without teachers or budget-busting tuition costs. Whether the goal is to be fluent in a language (or ten languages), earn the equivalent of a college degree in a fraction of the time, or master multiple tools to build a product or business from the ground up, the principles in Ultralearning will guide you to success. |
| teach yourself math: Learning to Love Math Judy Willis, 2010-09-09 Is there a way to get students to love math? Dr. Judy Willis responds with an emphatic yes in this informative guide to getting better results in math class. Tapping into abundant research on how the brain works, Willis presents a practical approach for how we can improve academic results by demonstrating certain behaviors and teaching students in a way that minimizes negativity. With a straightforward and accessible style, Willis shares the knowledge and experience she has gained through her dual careers as a math teacher and a neurologist. In addition to learning basic brain anatomy and function, readers will learn how to * Improve deep-seated negative attitudes toward math. * Plan lessons with the goal of achievable challenge in mind. * Reduce mistake anxiety with techniques such as errorless math and estimation. * Teach to different individual learning strengths and skill levels. * Spark motivation. * Relate math to students' personal interests and goals. * Support students in setting short-term and long-term goals. * Convince students that they can change their intelligence. With dozens of strategies teachers can use right now, Learning to Love Math puts the power of research directly into the hands of educators. A Brain Owner's Manual, which dives deeper into the structure and function of the brain, is also included—providing a clear explanation of how memories are formed and how skills are learned. With informed teachers guiding them, students will discover that they can build a better brain . . . and learn to love math! |
| teach yourself math: Teaching the Female Brain Abigail Norfleet James, 2009-08-11 Discover how girls' sensory, physical, cognitive, and emotional characteristics affect performance and how you can tailor instruction to promote girls' learning in math, science, and other areas. |
| teach yourself math: Mathematics for Machine Learning Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong, 2020-04-23 The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site. |
| teach yourself math: A Synopsis of Elementary Results in Pure and Applied Mathematics George Shoobridge Carr, 1880 |
| teach yourself math: Teaching Math to Multilingual Students, Grades K-8 Kathryn B. Chval, Erin Smith, Lina Trigos-Carrillo, Rachel J. Pinnow, 2021-01-07 Using strengths-based approaches to support development in mathematics It’s time to re-imagine what’s possible and celebrate the brilliance multilingual learners bring to today’s classrooms. Innovative teaching strategies can position these learners as leaders in mathematics. Yet, as the number of multilingual learners in North American schools grows, many teachers have not had opportunities to gain the competencies required to teach these learners effectively, especially in disciplines such as mathematics. Multilingual learners—historically called English Language Learners—are expected to interpret the meaning of problems, analyze, make conjectures, evaluate their progress, and discuss and understand their own approaches and the approaches of their peers in mathematics classrooms. Thus, language plays a vital role in mathematics learning, and demonstrating these competencies in a second (or third) language is a challenging endeavor. Based on best practices and the authors’ years of research, this guide offers practical approaches that equip grades K-8 teachers to draw on the strengths of multilingual learners, partner with their families, and position these learners for success. Readers will find: • A focus on multilingual students as leaders • A strength-based approach that draws on students’ life experiences and cultural backgrounds • An emphasis on maintaining high expectations for learners’ capacity for mastering rigorous content • Strategies for representing concepts in different formats • Stop and Think questions throughout and reflection questions at the end of each chapter • Try It! Implementation activities, student work examples, and classroom transcripts With case studies and activities that provide a solid foundation for teachers’ growth and exploration, this groundbreaking book will help teachers and teacher educators engage in meaningful, humanized mathematics instruction. |
| teach yourself math: Basic Mathematics Serge Lang, 1988-01 |
| teach yourself math: Limitless Mind Jo Boaler, 2019-09-03 “Boaler is one of those rare and remarkable educators who not only know the secret of great teaching but also know how to give that gift to others.” — CAROL DWECK, author of Mindset “Jo Boaler is one of the most creative and innovative educators today. Limitless Mind marries cutting-edge brain science with her experience in the classroom, not only proving that each of us has limitless potential but offering strategies for how we can achieve it.” — LAURENE POWELL JOBS “A courageous freethinker with fresh ideas on learning.” — BOOKLIST In this revolutionary book, a professor of education at Stanford University and acclaimed math educator who has spent decades studying the impact of beliefs and bias on education, reveals the six keys to unlocking learning potential, based on the latest scientific findings. From the moment we enter school as children, we are made to feel as if our brains are fixed entities, capable of learning certain things and not others, influenced exclusively by genetics. This notion follows us into adulthood, where we tend to simply accept these established beliefs about our skillsets (i.e. that we don’t have “a math brain” or that we aren’t “the creative type”). These damaging—and as new science has revealed, false—assumptions have influenced all of us at some time, affecting our confidence and willingness to try new things and limiting our choices, and, ultimately, our futures. Stanford University professor, bestselling author, and acclaimed educator Jo Boaler has spent decades studying the impact of beliefs and bias on education. In Limitless Mind, she explodes these myths and reveals the six keys to unlocking our boundless learning potential. Her research proves that those who achieve at the highest levels do not do so because of a genetic inclination toward any one skill but because of the keys that she reveals in the book. Our brains are not “fixed,” but entirely capable of change, growth, adaptability, and rewiring. Want to be fluent in mathematics? Learn a foreign language? Play the guitar? Write a book? The truth is not only that anyone at any age can learn anything, but the act of learning itself fundamentally changes who we are, and as Boaler argues so elegantly in the pages of this book, what we go on to achieve. |
| teach yourself math: All the Mathematics You Missed Thomas A. Garrity, 2002 An essential resource for advanced undergraduate and beginning graduate students in quantitative subjects who need to quickly learn some serious mathematics. |
| teach yourself math: Discrete Mathematics and Its Applications Kenneth H. Rosen, 2018-05 A precise, relevant, comprehensive approach to mathematical concepts... |
| teach yourself math: Mathematics: A Complete Introduction Hugh Neill, Trevor Johnson, 2018-06-21 'I feared maths when at school - this book is the antidote.' - Amazon 5 star review ⭐⭐⭐⭐⭐ 'Wonderful compact book for students' - Amazon 5 star review ⭐⭐⭐⭐⭐ Maths does not have to be difficult. This book, complete with exercises and answers, forms a course which will take you from beginner or intermediate level to being a confident mathematician. This book includes: simple step-by-step explanations, to help you grasp new topics or those that have previously confused you; practice questions throughout, to help you embed your learning and improve your confidence; and end of chapter summaries, to help you remember the key points you've learned - all in one great-value book, so you don't need any separate workbooks or coursebooks. Chapters include: number; angles; fractions; two-dimensional shapes; decimals; statisticsl directed numbers; graphs; measurement; perimeter and area; algebraic expressions; approximations; equations; percentages; formulae; circles; probability; three-dimensional shapes; ratio and proportion; pythagoras' theorem and trigonometry; indices and standard form. ABOUT THE SERIES The Complete Introduction series from Teach Yourself is the ultimate one-stop guide for anyone wanting a comprehensive and accessible entry point into subjects as diverse as philosophy, mathematics, psychology, Shakespeare and practical electronics. Loved by students and perfect for general readers who simply want to learn more about the world around them, these books are your first choice for discovering something new. |
| teach yourself math: Big LetÕs Learn Book, Grades PK - 1 Carson-Dellosa Publishing, 2013-01-02 From the top-requested Stick Out Your Neck series, these beloved books feature reproducibles in Carson-Dellosa's classic art style along with a year's worth of the sound educational content teachers rely on. Plus, students will love the fun activities and stay engaged while practicing essential foundational skills! |
| teach yourself math: Read Any Good Math Lately? David Jackman Whitin, Sandra Wilde, 1992 Demonstrates the potential for literature in learnersin a variety of mathematical investigations. |
| teach yourself math: How Numbers Work New Scientist, 2018-03-21 Think of a number between one and ten. No, hang on, let's make this interesting. Between zero and infinity. Even if you stick to the whole numbers, there are a lot to choose from - an infinite number in fact. Throw in decimal fractions and infinity suddenly gets an awful lot bigger (is that even possible?) And then there are the negative numbers, the imaginary numbers, the irrational numbers like pi which never end. It literally never ends. The world of numbers is indeed strange and beautiful. Among its inhabitants are some really notable characters - pi, e, the imaginary number i and the famous golden ratio to name just a few. Prime numbers occupy a special status. Zero is very odd indeed: is it a number, or isn't it? How Numbers Work takes a tour of this mind-blowing but beautiful realm of numbers and the mathematical rules that connect them. Not only that, but take a crash course on the biggest unsolved problems that keep mathematicians up at night, find out about the strange and unexpected ways mathematics influences our everyday lives, and discover the incredible connection between numbers and reality itself. ABOUT THE SERIES New Scientist Instant Expert books are definitive and accessible entry points to the most important subjects in science; subjects that challenge, attract debate, invite controversy and engage the most enquiring minds. Designed for curious readers who want to know how things work and why, the Instant Expert series explores the topics that really matter and their impact on individuals, society, and the planet, translating the scientific complexities around us into language that's open to everyone, and putting new ideas and discoveries into perspective and context. |
| teach yourself math: Introduction to Mathematical Thinking Keith J. Devlin, 2012 Mathematical thinking is not the same as 'doing math'--unless you are a professional mathematician. For most people, 'doing math' means the application of procedures and symbolic manipulations. Mathematical thinking, in contrast, is what the name reflects, a way of thinking about things in the world that humans have developed over three thousand years. It does not have to be about mathematics at all, which means that many people can benefit from learning this powerful way of thinking, not just mathematicians and scientists.--Back cover. |
| teach yourself math: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala |
| teach yourself math: Math on the Move Malke Rosenfeld, 2016-10-18 Kids love to move. But how do we harness all that kinetic energy effectively for math learning? In Math on the Move, Malke Rosenfeld shows how pairing math concepts and whole body movement creates opportunities for students to make sense of math in entirely new ways. Malke shares her experience creating dynamic learning environments by: exploring the use of the body as a thinking tool, highlighting mathematical ideas that are usefully explored with a moving body, providing a range of entry points for learning to facilitate a moving math classroom. ...--Publisher description. |
| teach yourself math: Principles of Topology Fred H. Croom, 2016-02-17 Originally published: Philadelphia: Saunders College Publishing, 1989; slightly corrected. |
| teach yourself math: Understanding Machine Learning Shai Shalev-Shwartz, Shai Ben-David, 2014-05-19 Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage. |
| teach yourself math: Deep Learning Ian Goodfellow, Yoshua Bengio, Aaron Courville, 2016-11-18 An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors. |
| teach yourself math: Mathematics for Human Flourishing Francis Su, 2020-01-07 The ancient Greeks argued that the best life was filled with beauty, truth, justice, play and love. The mathematician Francis Su knows just where to find them.--Kevin Hartnett, Quanta Magazine This is perhaps the most important mathematics book of our time. Francis Su shows mathematics is an experience of the mind and, most important, of the heart.--James Tanton, Global Math Project For mathematician Francis Su, a society without mathematical affection is like a city without concerts, parks, or museums. To miss out on mathematics is to live without experiencing some of humanity's most beautiful ideas. In this profound book, written for a wide audience but especially for those disenchanted by their past experiences, an award-winning mathematician and educator weaves parables, puzzles, and personal reflections to show how mathematics meets basic human desires--such as for play, beauty, freedom, justice, and love--and cultivates virtues essential for human flourishing. These desires and virtues, and the stories told here, reveal how mathematics is intimately tied to being human. Some lessons emerge from those who have struggled, including philosopher Simone Weil, whose own mathematical contributions were overshadowed by her brother's, and Christopher Jackson, who discovered mathematics as an inmate in a federal prison. Christopher's letters to the author appear throughout the book and show how this intellectual pursuit can--and must--be open to all. |
| teach yourself math: Let's Play Math Denise Gaskins, 2012-09-04 |
| teach yourself math: Where's the Math? Mary Hynes-Berry, Laura Grandau, 2019-09-10 Use the powerful strategies of play and storytelling to help young children develop their math brains. This easy-to-use resource includes fun activities, routines, and games inspired by children's books that challenge children to recognize and think more logically about the math all around them. |
| teach yourself math: Calculus On Manifolds Michael Spivak, 1971-01-22 This little book is especially concerned with those portions of ”advanced calculus” in which the subtlety of the concepts and methods makes rigor difficult to attain at an elementary level. The approach taken here uses elementary versions of modern methods found in sophisticated mathematics. The formal prerequisites include only a term of linear algebra, a nodding acquaintance with the notation of set theory, and a respectable first-year calculus course (one which at least mentions the least upper bound (sup) and greatest lower bound (inf) of a set of real numbers). Beyond this a certain (perhaps latent) rapport with abstract mathematics will be found almost essential. |
| teach yourself math: Linear Algebra with Applications (Classic Version) Otto Bretscher, 2018-03-15 This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearsonhighered.com/math-classics-series for a complete list of titles. Offering the most geometric presentation available, Linear Algebra with Applications, Fifth Edition emphasizes linear transformations as a unifying theme. This elegant textbook combines a user-friendly presentation with straightforward, lucid language to clarify and organize the techniques and applications of linear algebra. Exercises and examples make up the heart of the text, with abstract exposition kept to a minimum. Exercise sets are broad and varied and reflect the author's creativity and passion for this course. This revision reflects careful review and appropriate edits throughout, while preserving the order of topics of the previous edition. |
| teach yourself math: Math for Deep Learning Ronald T. Kneusel, 2021-12-07 Math 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. |
| teach yourself math: Making Sense of Mathematics for Teaching Grades 6-8 Edward C. Nolan, Juli K. Dixon, 2016-04-13 Develop a deep understanding of mathematics. This user-friendly resource presents grades 6–8 teachers with a logical progression of pedagogical actions, classroom norms, and collaborative teacher team efforts to increase their knowledge and improve mathematics instruction. Make connections between elementary fraction-based content to fraction operations taught in the middle grades. Explore strategies and techniques to effectively learn and teach significant mathematics concepts and provide all students with the precise, accurate information they need to achieve academic success. Benefits Dig deep into mathematical modeling and reasoning to improve as both a learner and teacher of mathematics. Explore how to develop, select, and modify mathematics tasks in order to balance cognitive demand and engage students. Discover the three important norms to uphold in all mathematics classrooms. Learn to apply the tasks, questioning, and evidence (TQE) process to grow as both learners and teachers of mathematics. Gain clarity about the most productive progression of mathematical teaching and learning for grades 6–8. Access short videos that show what classrooms that are developing mathematical understanding should look like. Contents Introduction 1 Fraction Operations and Integer Concepts and Operations 2 Ratios and Proportional Relationships 3 Equations, Expressions, and Inequalities 4 Functions 5 Measurement and Geometry 6 Statistics and Probability Epilogue: Next Steps References and Resources Index |
| teach yourself math: Learning Basic Mathematics John C. Hunter, Armstrong, Chouteau, 1980 |
| teach yourself math: RightStart Mathematics Joan A. Cotter, RightStart Mathematics is a comprehensive math program for children that is easy to teach and provides the foundation for everyday life, for advanced math, and for science in our technological world. The research-based elementary and intermediate RightStart Mathematics program is easy to use: the lessons tell you what to teach, and how and why, day by day and year by year. This unique program uses visualization of quantities, de-emphasizes counting, and provides visual stategies (mental pictures) for memorizing the facts. Understanding is emphasized. Math needs to be taught so 95 percent is understood and only 5 percent memorized. When children don't understand, they memorize until the burden becomes too great and then they give up. When children understand, they need less time in review and practice. The second edition RS2 Level D works on the meaning and properties of multiplication and division, along with the basic facts. Other topics include numbers to millions, area and measurement in both the metric and U.S. customary systems, fractions, and graphing. The children continue work in geometry and angles using drawing tools. Problem solving with all four operations is emphasized. |
| teach yourself math: Learn Math Fast System J. K. Mergens, 2011-08-01 |
| teach yourself math: Math-It Elmer W. Brooks, 1996-09 |
| teach yourself math: Teaching Student-Centered Mathematics John A. Van de Walle, Jennifer M. Bay-Williams, Lou Ann H. Lovin, Karen S. Karp, 2017-01-20 NOTE: Used books, rentals, and purchases made outside of Pearson If purchasing or renting from companies other than Pearson, the access codes for the Enhanced Pearson eText may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase. For courses in Elementary Mathematics Methods and for classroom teachers. This package includes the Enhanced Pearson eText and the print bound version. A practical, comprehensive, student-centered approach to effective mathematical instruction for grades Pre-K-2. Helping students make connections between mathematics and their worlds--and helping them feel empowered to use math in their lives--is the focus of this widely popular guide. Designed for classroom teachers, the book focuses on specific grade bands and includes information on creating an effective classroom environment, aligning teaching to various standards and practices, such as the Common Core State Standards and NCTM''s teaching practices, and engaging families. The first portion of the book addresses how to build a student-centered environment in which children can become mathematically proficient, while the second portion focuses on practical ways to teach important concepts in a student-centered fashion. The new edition features a corresponding Enhanced Pearson eText version with links to embedded videos, blackline masters, downloadable teacher resource and activity pages, lesson plans, activities correlated to the CCSS, and tables of common errors and misconceptions. This book is part of the Student-Centered Mathematics Series, which is designed with three objectives: to illustrate what it means to teach student-centered, problem-based mathematics, to serve as a reference for the mathematics content and research-based instructional strategies suggested for the specific grade levels, and to present a large collection of high quality tasks and activities that can engage students in the mathematics that is important for them to learn. Improve mastery and retention with the Enhanced Pearson eText* The Enhanced Pearson eText provides a rich, interactive learning environment designed to improve student mastery of content. The Enhanced Pearson eText is: Engaging. The new interactive, multimedia learning features were developed by the authors and other subject-matter experts to deepen and enrich the learning experience. Convenient. Enjoy instant online access from your computer or download the Pearson eText App to read on or offline on your iPad� and Android� tablet.* Affordable. Experience the advantages of the Enhanced Pearson eText along with all the benefits of print for 40% to 50% less than a print bound book. *The Enhanced eText features are only available in the Pearson eText format. They are not available in third-party eTexts or downloads. *The Pearson eText App is available on Google Play and in the App Store. It requires Android OS 3.1-4, a 7 or 10 tablet, or iPad iOS 5.0 or later. 0134090683 / 9780134090689 Teaching Student-Centered Mathematics: Developmentally Appropriate Instruction for Grades Pre-K-2 (Volume I), with Enhanced Pearson eText Package consists of: 0134556437 / 9780134556437 Teaching Student-Centered Mathematics: Developmentally Appropriate Instruction for Grades Pre-K-2 (Volume I) 0134556453 / 9780134556451 Teaching Student-Centered Mathematics: Developmentally Appropriate Instruction for Grades Pre-K-2 (Volume I), Enhanced Pearson eText -- Access Card |
| teach yourself math: The Math Myth Andrew Hacker, 2018-04-03 Andrew Hacker's 2012 New York Times op-ed questioning our current mathematics requirements instantly became one of the the paper's most widely circulated articles. Why, he wondered, do we inflict algebra, geometry, trigonometry, and even calculus on all young Americans, regardless of their interests or aptitudes? The Math Myth expands Hacker's scrutiny of many widely held assumptions, such as the notion that mathematics broadens our minds, that mastery of azimuths and asymptotes will be needed for most jobs, that the entire Common Core syllabus should be required of every student. He worries that a frenzied emphasis on STEM is diverting attention from other pursuits and subverting the spirit of the country. Though Hacker honors mathematics as a calling (he has been a professor of mathematics) and extols its glories and its goals, he shows how mandating it for everyone prevents other talents from being developed and acts as an irrational barrier to graduation and careers. He proposes alternatives, including teaching facility with figures, quantitative reasoning, and utilizing statistics. The Math Myth is sure to spark a heated and needed national conversation not just about mathematics but about the kind of people and society we want to be.--Publisher's Web site. |
| teach yourself math: Dive Into Inquiry Trevor MacKenzie, 2016-07-20 Want to make learning more meaningful in your classroom? Looking to better prepare your students for the world of tomorrow? Keen to help learners create authentic connections to the world around them? Dive into Inquiry beautifully marries the voice and choice of inquiry with the structure and support required to optimise learning for students and get the results educators desire. With Dive into Inquiry you'll gain an understanding of how to best support your learners as they shift from a traditional learning model into the inquiry classroom where student agency is fostered and celebrated each and every day. This book strikes a perfect balance of meaningful pedagogy, touching narrative, helpful processes, original student examples, and rich how-to lesson plans all to get you going on bringing inquiry into your classroom. After reading this book educators will feel equipped to design their own inquiry units in a scaffolded manner that promote a gradual shift of control of learning from the teacher to the learner. Exploring student passions, curiosities, and interests and having these shape essential questions, units of study, and performance tasks are all covered in this powerful book. Learn to keep track of the many inquiry topics in your classroom and have students take ownership over their learning like never before! Trevor MacKenzie provides readers with a strong understanding of the Types of Student Inquiry and proposes a framework that best prepares both educators and learners for sharing the unpacking of curriculum in the classroom as they work together towards co-constructing a strong Free Inquiry unit. Helpful illustrations for in-class use, examples of essential questions from a variety of disciplines, practical goals for making progress in adopting inquiry into your practice, and powerful student learning on display throughout, Dive into Inquiry will energize, inspire, and transform your classroom! |
| teach yourself math: Basic Mathematics: An Introduction: Teach Yourself Alan Graham, 2017-04-06 Basic Mathematics teaches you all the maths you need for everyday situations. If you are terrified by maths, this is the book for you. Do you shy away from using numbers? Basic Mathematics can help. An easy-to-follow guide, it will ensure you gain the confidence you need to tackle maths and overcome your fears. It offers simple explanations of all the key areas, including decimals, percentages, measurements and graphs, and applies them to everyday situations, games and puzzles to help you understand mathematics quickly and enjoyably. Everything you need is here in this one book. Each chapter includes clear explanations, worked examples and test questions. At the end of the book there are challenges and games to give you new and interesting ways to practise your new skills. |
TEACH Resources: TEACH System :OTI:NYSED - New York State …
5 days ago · TEACH Online Services . You can keep watch over the progress of your application by monitoring your TEACH online services account. This can be done by logging in to your …
TEACH Definition & Meaning - Merriam-Webster
The meaning of TEACH is to cause to know something. How to use teach in a sentence. Synonym Discussion of Teach.
TEACH | English meaning - Cambridge Dictionary
TEACH definition: 1. to give someone knowledge or to train someone; to instruct: 2. to be a teacher in a school: 3…. Learn more.
TEACH System - New York State Education Department
The TEACH system is designed for various users to perform various functions regarding teacher certification and fingerprinting. You may access information based upon the role you hold.
TEACH.org | Explore the Teaching Profession | TEACH.org
TEACH.org supports those interested in teaching by providing personalized resources and support for each stage of the career-decision making process. Learn if teaching is right for you!
TEACH definition and meaning | Collins English Dictionary
If you teach or teach a subject, you help students to learn about it by explaining it or showing them how to do it, usually as a job at a school, college, or university.
Teach - definition of teach by The Free Dictionary
Teach is the most widely applicable: taught the child to draw; taught literature at the college. Instruct often suggests training in some special field or skill: instructed the undergraduates in …
teach verb - Definition, pictures, pronunciation and usage notes ...
Definition of teach verb in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more. Toggle navigation
Teacher Certification (Complete Guide) | TEACH.org
Discover the steps you need to take to become a licensed teacher. TEACH is your No. 1 source for becoming an educator.
TEACH Definition & Meaning | Dictionary.com
Teach is the broadest and most general of these terms and can refer to almost any practice that causes others to develop skill or knowledge: to teach children to write; to teach marksmanship …
TEACH Resources: TEACH System :OTI:NYSED - New York State …
5 days ago · TEACH Online Services . You can keep watch over the progress of your application by monitoring your TEACH online services account. This can be done by logging in to your …
TEACH Definition & Meaning - Merriam-Webster
The meaning of TEACH is to cause to know something. How to use teach in a sentence. Synonym Discussion of Teach.
TEACH | English meaning - Cambridge Dictionary
TEACH definition: 1. to give someone knowledge or to train someone; to instruct: 2. to be a teacher in a school: 3…. Learn more.
TEACH System - New York State Education Department
The TEACH system is designed for various users to perform various functions regarding teacher certification and fingerprinting. You may access information based upon the role you hold.
TEACH.org | Explore the Teaching Profession | TEACH.org
TEACH.org supports those interested in teaching by providing personalized resources and support for each stage of the career-decision making process. Learn if teaching is right for you!
TEACH definition and meaning | Collins English Dictionary
If you teach or teach a subject, you help students to learn about it by explaining it or showing them how to do it, usually as a job at a school, college, or university.
Teach - definition of teach by The Free Dictionary
Teach is the most widely applicable: taught the child to draw; taught literature at the college. Instruct often suggests training in some special field or skill: instructed the undergraduates in …
teach verb - Definition, pictures, pronunciation and usage notes ...
Definition of teach verb in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more. Toggle navigation
Teacher Certification (Complete Guide) | TEACH.org
Discover the steps you need to take to become a licensed teacher. TEACH is your No. 1 source for becoming an educator.
TEACH Definition & Meaning | Dictionary.com
Teach is the broadest and most general of these terms and can refer to almost any practice that causes others to develop skill or knowledge: to teach children to write; to teach marksmanship …
