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| dave's fun algebra class wiki: Wizard's First Rule Terry Goodkind, 2001-06-23 An unearthly adversary descends on an idyllic fantasy world, corrupting magic against good and slaughtering innocents, and only a single man can stop him. |
| dave's fun algebra class wiki: The Phantom Tollbooth Norton Juster, 1988-10-12 With almost 5 million copies sold 60 years after its original publication, generations of readers have now journeyed with Milo to the Lands Beyond in this beloved classic. Enriched by Jules Feiffer’s splendid illustrations, the wit, wisdom, and wordplay of Norton Juster’s offbeat fantasy are as beguiling as ever. “Comes up bright and new every time I read it . . . it will continue to charm and delight for a very long time yet. And teach us some wisdom, too.” --Phillip Pullman For Milo, everything’s a bore. When a tollbooth mysteriously appears in his room, he drives through only because he’s got nothing better to do. But on the other side, things seem different. Milo visits the Island of Conclusions (you get there by jumping), learns about time from a ticking watchdog named Tock, and even embarks on a quest to rescue Rhyme and Reason. Somewhere along the way, Milo realizes something astonishing. Life is far from dull. In fact, it’s exciting beyond his wildest dreams! |
| dave's fun algebra class wiki: A First Course in Real Analysis Sterling K. Berberian, 2012-09-10 Mathematics is the music of science, and real analysis is the Bach of mathematics. There are many other foolish things I could say about the subject of this book, but the foregoing will give the reader an idea of where my heart lies. The present book was written to support a first course in real analysis, normally taken after a year of elementary calculus. Real analysis is, roughly speaking, the modern setting for Calculus, real alluding to the field of real numbers that underlies it all. At center stage are functions, defined and taking values in sets of real numbers or in sets (the plane, 3-space, etc.) readily derived from the real numbers; a first course in real analysis traditionally places the emphasis on real-valued functions defined on sets of real numbers. The agenda for the course: (1) start with the axioms for the field ofreal numbers, (2) build, in one semester and with appropriate rigor, the foun dations of calculus (including the Fundamental Theorem), and, along the way, (3) develop those skills and attitudes that enable us to continue learning mathematics on our own. Three decades of experience with the exercise have not diminished my astonishment that it can be done. |
| dave's fun algebra class wiki: The Cult of Smart Fredrik deBoer, 2020-08-04 Named one of Vulture’s Top 10 Best Books of 2020! Leftist firebrand Fredrik deBoer exposes the lie at the heart of our educational system and demands top-to-bottom reform. Everyone agrees that education is the key to creating a more just and equal world, and that our schools are broken and failing. Proposed reforms variously target incompetent teachers, corrupt union practices, or outdated curricula, but no one acknowledges a scientifically-proven fact that we all understand intuitively: Academic potential varies between individuals, and cannot be dramatically improved. In The Cult of Smart, educator and outspoken leftist Fredrik deBoer exposes this omission as the central flaw of our entire society, which has created and perpetuated an unjust class structure based on intellectual ability. Since cognitive talent varies from person to person, our education system can never create equal opportunity for all. Instead, it teaches our children that hierarchy and competition are natural, and that human value should be based on intelligence. These ideas are counter to everything that the left believes, but until they acknowledge the existence of individual cognitive differences, progressives remain complicit in keeping the status quo in place. This passionate, voice-driven manifesto demands that we embrace a new goal for education: equality of outcomes. We must create a world that has a place for everyone, not just the academically talented. But we’ll never achieve this dream until the Cult of Smart is destroyed. |
| dave's fun algebra class wiki: Introduction to Counting and Probability David Patrick, 2007-08 |
| dave's fun algebra class wiki: How Learning Works Susan A. Ambrose, Michael W. Bridges, Michele DiPietro, Marsha C. Lovett, Marie K. Norman, 2010-04-16 Praise for How Learning Works How Learning Works is the perfect title for this excellent book. Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning. —Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching. —Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues. —Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book. —From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning |
| dave's fun algebra class wiki: The R Book Michael J. Crawley, 2007-06-13 The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences. |
| dave's fun algebra class wiki: Using Technology with Classroom Instruction That Works Howard Pitler, Elizabeth R. Hubbell, Matt Kuhn, 2012-08-02 Technology is ubiquitous, and its potential to transform learning is immense. The first edition of Using Technology with Classroom Instruction That Works answered some vital questions about 21st century teaching and learning: What are the best ways to incorporate technology into the curriculum? What kinds of technology will best support particular learning tasks and objectives? How does a teacher ensure that technology use will enhance instruction rather than distract from it? This revised and updated second edition of that best-selling book provides fresh answers to these critical questions, taking into account the enormous technological advances that have occurred since the first edition was published, including the proliferation of social networks, mobile devices, and web-based multimedia tools. It also builds on the up-to-date research and instructional planning framework featured in the new edition of Classroom Instruction That Works, outlining the most appropriate technology applications and resources for all nine categories of effective instructional strategies: * Setting objectives and providing feedback * Reinforcing effort and providing recognition * Cooperative learning * Cues, questions, and advance organizers * Nonlinguistic representations * Summarizing and note taking * Assigning homework and providing practice * Identifying similarities and differences * Generating and testing hypotheses Each strategy-focused chapter features examples—across grade levels and subject areas, and drawn from real-life lesson plans and projects—of teachers integrating relevant technology in the classroom in ways that are engaging and inspiring to students. The authors also recommend dozens of word processing applications, spreadsheet generators, educational games, data collection tools, and online resources that can help make lessons more fun, more challenging, and—most of all—more effective. |
| dave's fun algebra class wiki: Bandit Algorithms Tor Lattimore, Csaba Szepesvári, 2020-07-16 A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems. |
| dave's fun algebra class wiki: Grokking Algorithms Aditya Bhargava, 2016-05-12 This book does the impossible: it makes math fun and easy! - Sander Rossel, COAS Software Systems Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel. Continue your journey into the world of algorithms with Algorithms in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/algorithms-?in-motion). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs. About the Book Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them. What's Inside Covers search, sort, and graph algorithms Over 400 pictures with detailed walkthroughs Performance trade-offs between algorithms Python-based code samples About the Reader This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. About the Author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Table of Contents Introduction to algorithms Selection sort Recursion Quicksort Hash tables Breadth-first search Dijkstra's algorithm Greedy algorithms Dynamic programming K-nearest neighbors |
| dave's fun algebra class wiki: Advanced Linear Algebra Steven Roman, 2007-12-31 Covers a notably broad range of topics, including some topics not generally found in linear algebra books Contains a discussion of the basics of linear algebra |
| dave's fun algebra class wiki: The Road to Reality Roger Penrose, 2021-06-09 **WINNER OF THE 2020 NOBEL PRIZE IN PHYSICS** The Road to Reality is the most important and ambitious work of science for a generation. It provides nothing less than a comprehensive account of the physical universe and the essentials of its underlying mathematical theory. It assumes no particular specialist knowledge on the part of the reader, so that, for example, the early chapters give us the vital mathematical background to the physical theories explored later in the book. Roger Penrose's purpose is to describe as clearly as possible our present understanding of the universe and to convey a feeling for its deep beauty and philosophical implications, as well as its intricate logical interconnections. The Road to Reality is rarely less than challenging, but the book is leavened by vivid descriptive passages, as well as hundreds of hand-drawn diagrams. In a single work of colossal scope one of the world's greatest scientists has given us a complete and unrivalled guide to the glories of the universe that we all inhabit. 'Roger Penrose is the most important physicist to work in relativity theory except for Einstein. He is one of the very few people I've met in my life who, without reservation, I call a genius' Lee Smolin |
| dave's fun algebra class wiki: Knowledge Graphs Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d’Amato, Gerard de Melo, Claudio Gutierrez, Sabrina Kirrane, Jose Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Juan Sequeda, Lukas Schmelzeisen, Steffen Staab, Antoine Zimmermann, 2021-11-08 This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced with notions of schema, identity, and context. The book discusses how ontologies and rules can be used to encode knowledge as well as how inductive techniques—based on statistics, graph analytics, machine learning, etc.—can be used to encode and extract knowledge. It covers techniques for the creation, enrichment, assessment, and refinement of knowledge graphs and surveys recent open and enterprise knowledge graphs and the industries or applications within which they have been most widely adopted. The book closes by discussing the current limitations and future directions along which knowledge graphs are likely to evolve. This book is aimed at students, researchers, and practitioners who wish to learn more about knowledge graphs and how they facilitate extracting value from diverse data at large scale. To make the book accessible for newcomers, running examples and graphical notation are used throughout. Formal definitions and extensive references are also provided for those who opt to delve more deeply into specific topics. |
| dave's fun algebra class wiki: Math in Society David Lippman, 2012-09-07 Math in Society is a survey of contemporary mathematical topics, appropriate for a college-level topics course for liberal arts major, or as a general quantitative reasoning course.This book is an open textbook; it can be read free online at http://www.opentextbookstore.com/mathinsociety/. Editable versions of the chapters are available as well. |
| dave's fun algebra class wiki: Make It Stick Peter C. Brown, Henry L. Roediger III, Mark A. McDaniel, 2014-04-14 To most of us, learning something the hard way implies wasted time and effort. Good teaching, we believe, should be creatively tailored to the different learning styles of students and should use strategies that make learning easier. Make It Stick turns fashionable ideas like these on their head. Drawing on recent discoveries in cognitive psychology and other disciplines, the authors offer concrete techniques for becoming more productive learners. Memory plays a central role in our ability to carry out complex cognitive tasks, such as applying knowledge to problems never before encountered and drawing inferences from facts already known. New insights into how memory is encoded, consolidated, and later retrieved have led to a better understanding of how we learn. Grappling with the impediments that make learning challenging leads both to more complex mastery and better retention of what was learned. Many common study habits and practice routines turn out to be counterproductive. Underlining and highlighting, rereading, cramming, and single-minded repetition of new skills create the illusion of mastery, but gains fade quickly. More complex and durable learning come from self-testing, introducing certain difficulties in practice, waiting to re-study new material until a little forgetting has set in, and interleaving the practice of one skill or topic with another. Speaking most urgently to students, teachers, trainers, and athletes, Make It Stick will appeal to all those interested in the challenge of lifelong learning and self-improvement. |
| dave's fun algebra class wiki: Programming Fundamentals Kenneth Leroy Busbee, 2018-01-07 Programming Fundamentals - A Modular Structured Approach using C++ is written by Kenneth Leroy Busbee, a faculty member at Houston Community College in Houston, Texas. The materials used in this textbook/collection were developed by the author and others as independent modules for publication within the Connexions environment. Programming fundamentals are often divided into three college courses: Modular/Structured, Object Oriented and Data Structures. This textbook/collection covers the rest of those three courses. |
| dave's fun algebra class wiki: Marx Peter Singer, 2018 Marx is one of the most influential philosophers of all time, whose theories about society, economics, and politics have shaped and directed political and social thought for 150 years. In this new edition, Peter Singer discusses the legacy and impact of Marx's core theories, considering how they apply to twenty first century politics and society. |
| dave's fun algebra class wiki: Where Is My Flying Car? J. Storrs Hall, 2021-11-30 From an engineer and futurist, an impassioned account of technological stagnation since the 1970s and an imaginative blueprint for a richer, more abundant future The science fiction of the 1960s promised us a future remade by technological innovation: we’d vacation in geodesic domes on Mars, have meaningful conversations with computers, and drop our children off at school in flying cars. Fast-forward 60 years, and we’re still stuck in traffic in gas-guzzling sedans and boarding the same types of planes we flew in over half a century ago. What happened to the future we were promised? In Where Is My Flying Car?, J. Storrs Hall sets out to answer this deceptively simple question. What starts as an examination of the technical limitations of building flying cars evolves into an investigation of the scientific, technological, and social roots of the economic stagnation that started in the 1970s. From the failure to adopt nuclear energy and the suppression of cold fusion technology to the rise of a counterculture hostile to progress, Hall recounts how our collective ambitions for the future were derailed, with devastating consequences for global wealth creation and distribution. Hall then outlines a framework for a future powered by exponential progress—one in which we build as much in the world of atoms as we do in the world of bits, one rich in abundance and wonder. Drawing on years of original research and personal engineering experience, Where Is My Flying Car?, originally published in 2018, is an urgent, timely analysis of technological progress over the last 50 years and a bold vision for a better future. |
| dave's fun algebra class wiki: Symbiotic Planet Lynn Margulis, 2008-08-05 Although Charles Darwin's theory of evolution laid the foundations of modern biology, it did not tell the whole story. Most remarkably, The Origin of Species said very little about, of all things, the origins of species. Darwin and his modern successors have shown very convincingly how inherited variations are naturally selected, but they leave unanswered how variant organisms come to be in the first place. In Symbiotic Planet, renowned scientist Lynn Margulis shows that symbiosis, which simply means members of different species living in physical contact with each other, is crucial to the origins of evolutionary novelty. Ranging from bacteria, the smallest kinds of life, to the largest -- the living Earth itself -- Margulis explains the symbiotic origins of many of evolution's most important innovations. The very cells we're made of started as symbiotic unions of different kinds of bacteria. Sex -- and its inevitable corollary, death -- arose when failed attempts at cannibalism resulted in seasonally repeated mergers of some of our tiniest ancestors. Dry land became forested only after symbioses of algae and fungi evolved into plants. Since all living things are bathed by the same waters and atmosphere, all the inhabitants of Earth belong to a symbiotic union. Gaia, the finely tuned largest ecosystem of the Earth's surface, is just symbiosis as seen from space. Along the way, Margulis describes her initiation into the world of science and the early steps in the present revolution in evolutionary biology; the importance of species classification for how we think about the living world; and the way academic apartheid can block scientific advancement. Written with enthusiasm and authority, this is a book that could change the way you view our living Earth. |
| dave's fun algebra class wiki: Control and Freedom Wendy Hui Kyong Chun, 2008-09-26 A work that bridges media archaeology and visual culture studies argues that the Internet has emerged as a mass medium by linking control with freedom and democracy. How has the Internet, a medium that thrives on control, been accepted as a medium of freedom? Why is freedom increasingly indistinguishable from paranoid control? In Control and Freedom, Wendy Hui Kyong Chun explores the current political and technological coupling of freedom with control by tracing the emergence of the Internet as a mass medium. The parallel (and paranoid) myths of the Internet as total freedom/total control, she says, stem from our reduction of political problems into technological ones. Drawing on the theories of Gilles Deleuze and Michel Foucault and analyzing such phenomena as Webcams and face-recognition technology, Chun argues that the relationship between control and freedom in networked contact is experienced and negotiated through sexuality and race. She traces the desire for cyberspace to cyberpunk fiction and maps the transformation of public/private into open/closed. Analyzing pornocracy, she contends that it was through cyberporn and the government's attempts to regulate it that the Internet became a marketplace of ideas and commodities. Chun describes the way Internet promoters conflated technological empowerment with racial empowerment and, through close examinations of William Gibson's Neuromancer and Mamoru Oshii's Ghost in the Shell, she analyzes the management of interactivity in narratives of cyberspace. The Internet's potential for democracy stems not from illusory promises of individual empowerment, Chun argues, but rather from the ways in which it exposes us to others (and to other machines) in ways we cannot control. Using fiber optic networks—light coursing through glass tubes—as metaphor and reality, Control and Freedom engages the rich philosophical tradition of light as a figure for knowledge, clarification, surveillance, and discipline, in order to argue that fiber-optic networks physically instantiate, and thus shatter, enlightenment. |
| dave's fun algebra class wiki: The Data Science Design Manual Steven S. Skiena, 2017-07-01 This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com) |
| dave's fun algebra class wiki: There are No Electrons Kenn Amdahl, 1991 An off-beat introduction to how electricity works in practical applications. |
| dave's fun algebra class wiki: Arithmetic for the Practical Man James Edgar Thompson, 1962 |
| dave's fun algebra class wiki: Educated Tara Westover, 2018-02-20 #1 NEW YORK TIMES, WALL STREET JOURNAL, AND BOSTON GLOBE BESTSELLER • One of the most acclaimed books of our time: an unforgettable memoir about a young woman who, kept out of school, leaves her survivalist family and goes on to earn a PhD from Cambridge University “Extraordinary . . . an act of courage and self-invention.”—The New York Times NAMED ONE OF THE TEN BEST BOOKS OF THE YEAR BY THE NEW YORK TIMES BOOK REVIEW • ONE OF PRESIDENT BARACK OBAMA’S FAVORITE BOOKS OF THE YEAR • BILL GATES’S HOLIDAY READING LIST • FINALIST: National Book Critics Circle’s Award In Autobiography and John Leonard Prize For Best First Book • PEN/Jean Stein Book Award • Los Angeles Times Book Prize Born to survivalists in the mountains of Idaho, Tara Westover was seventeen the first time she set foot in a classroom. Her family was so isolated from mainstream society that there was no one to ensure the children received an education, and no one to intervene when one of Tara’s older brothers became violent. When another brother got himself into college, Tara decided to try a new kind of life. Her quest for knowledge transformed her, taking her over oceans and across continents, to Harvard and to Cambridge University. Only then would she wonder if she’d traveled too far, if there was still a way home. “Beautiful and propulsive . . . Despite the singularity of [Westover’s] childhood, the questions her book poses are universal: How much of ourselves should we give to those we love? And how much must we betray them to grow up?”—Vogue NAMED ONE OF THE BEST BOOKS OF THE YEAR BY The Washington Post • O: The Oprah Magazine • Time • NPR • Good Morning America • San Francisco Chronicle • The Guardian • The Economist • Financial Times • Newsday • New York Post • theSkimm • Refinery29 • Bloomberg • Self • Real Simple • Town & Country • Bustle • Paste • Publishers Weekly • Library Journal • LibraryReads • Book Riot • Pamela Paul, KQED • New York Public Library |
| dave's fun algebra class wiki: The Lean Startup Eric Ries, 2011-09-13 Most startups fail. But many of those failures are preventable. The Lean Startup is a new approach being adopted across the globe, changing the way companies are built and new products are launched. Eric Ries defines a startup as an organization dedicated to creating something new under conditions of extreme uncertainty. This is just as true for one person in a garage or a group of seasoned professionals in a Fortune 500 boardroom. What they have in common is a mission to penetrate that fog of uncertainty to discover a successful path to a sustainable business. The Lean Startup approach fosters companies that are both more capital efficient and that leverage human creativity more effectively. Inspired by lessons from lean manufacturing, it relies on “validated learning,” rapid scientific experimentation, as well as a number of counter-intuitive practices that shorten product development cycles, measure actual progress without resorting to vanity metrics, and learn what customers really want. It enables a company to shift directions with agility, altering plans inch by inch, minute by minute. Rather than wasting time creating elaborate business plans, The Lean Startup offers entrepreneurs—in companies of all sizes—a way to test their vision continuously, to adapt and adjust before it’s too late. Ries provides a scientific approach to creating and managing successful startups in a age when companies need to innovate more than ever. |
| dave's fun algebra class wiki: Euclid's Elements Euclid, Dana Densmore, 2002 The book includes introductions, terminology and biographical notes, bibliography, and an index and glossary --from book jacket. |
| dave's fun algebra class wiki: Thinking Forth Leo Brodie, 2004 Thinking Forth applies a philosophy of problem solving and programming style to the unique programming language Forth. Published first in 1984, it could be among the timeless classics of computer books, such as Fred Brooks' The Mythical Man-Month and Donald Knuth's The Art of Computer Programming. Many software engineering principles discussed here have been rediscovered in eXtreme Programming, including (re)factoring, modularity, bottom-up and incremental design. Here you'll find all of those and more, such as the value of analysis and design, described in Leo Brodie's down-to-earth, humorous style, with illustrations, code examples, practical real life applications, illustrative cartoons, and interviews with Forth's inventor, Charles H. Moore as well as other Forth thinkers. |
| dave's fun algebra class wiki: The Wave Todd Strasser, 2013-01-08 This novel dramatizes an incident that took place in a California school in 1969. A teacher creates an experimental movement in his class to help students understand how people could have followed Hitler. The results are astounding. The highly disciplined group, modeled on the principles of the Hilter Youth, has its own salute, chants, and special ways of acting as a unit and sweeps beyond the class and throughout the school, evolving into a society willing to give up freedom for regimentation and blind obedience to their leader. All will learn a lesson that will never be forgotten. |
| dave's fun algebra class wiki: The Calculus for the Practical Man James Edgar Thompson, 1935 |
| dave's fun algebra class wiki: The Leader's Guide to Radical Management Stephen Denning, 2010-09-14 A radical new management model for twenty-first century leaders Organizations today face a crisis. The crisis is of long standing and its signs are widespread. Most proposals for improving management address one element of the crisis at the expense of the others. The principles described by award-winning author Stephen Denning simultaneously inspire high productivity, continuous innovation, deep job satisfaction and client delight. Denning puts forward a fundamentally different approach to management, with seven inter-locking principles of continuous innovation: focusing the entire organization on delighting clients; working in self-organizing teams; operating in client-driven iterations; delivering value to clients with each iteration; fostering radical transparency; nurturing continuous self-improvement and communicating interactively. In sum, the principles comprise a new mental model of management. Author outlines the basic seven principles of continuous innovation The book describes more than seventy supporting practices Denning offers a rethinking of management from first principles This book is written by the author of The Secret Language of Leadership—a Financial Times Selection in Best Books of 2007. |
| dave's fun algebra class wiki: Introduction to Set Theory and Topology Kazimierz Kuratowski, 2014-07-10 Introduction to Set Theory and Topology describes the fundamental concepts of set theory and topology as well as its applicability to analysis, geometry, and other branches of mathematics, including algebra and probability theory. Concepts such as inverse limit, lattice, ideal, filter, commutative diagram, quotient-spaces, completely regular spaces, quasicomponents, and cartesian products of topological spaces are considered. This volume consists of 21 chapters organized into two sections and begins with an introduction to set theory, with emphasis on the propositional calculus and its application to propositions each having one of two logical values, 0 and 1. Operations on sets which are analogous to arithmetic operations are also discussed. The chapters that follow focus on the mapping concept, the power of a set, operations on cardinal numbers, order relations, and well ordering. The section on topology explores metric and topological spaces, continuous mappings, cartesian products, and other spaces such as spaces with a countable base, complete spaces, compact spaces, and connected spaces. The concept of dimension, simplexes and their properties, and cuttings of the plane are also analyzed. This book is intended for students and teachers of mathematics. |
| dave's fun algebra class wiki: Machine Scoring of Student Essays Patricia Freitag Ericsson, Richard Haswell, 2006-03-15 The current trend toward machine-scoring of student work, Ericsson and Haswell argue, has created an emerging issue with implications for higher education across the disciplines, but with particular importance for those in English departments and in administration. The academic community has been silent on the issue—some would say excluded from it—while the commercial entities who develop essay-scoring software have been very active. Machine Scoring of Student Essays is the first volume to seriously consider the educational mechanisms and consequences of this trend, and it offers important discussions from some of the leading scholars in writing assessment. Reading and evaluating student writing is a time-consuming process, yet it is a vital part of both student placement and coursework at post-secondary institutions. In recent years, commercial computer-evaluation programs have been developed to score student essays in both of these contexts. Two-year colleges have been especially drawn to these programs, but four-year institutions are moving to them as well, because of the cost-savings they promise. Unfortunately, to a large extent, the programs have been written, and institutions are installing them, without attention to their instructional validity or adequacy. Since the education software companies are moving so rapidly into what they perceive as a promising new market, a wider discussion of machine-scoring is vital if scholars hope to influence development and/or implementation of the programs being created. What is needed, then, is a critical resource to help teachers and administrators evaluate programs they might be considering, and to more fully envision the instructional consequences of adopting them. And this is the resource that Ericsson and Haswell are providing here. |
| dave's fun algebra class wiki: Virtual Unreality Charles Seife, 2015-08-04 The author of Zero and Proofiness explains how to tell truth from fantasy in the digital world, and why it matters Today, the Internet allows us to spread information faster and to more people than ever before—never mind whether it’s true or not. In Virtual Unreality, mathematician, science reporter, and journalist watchdog Charles Seife takes us deep into the information jungle and cuts a path through the trickery, fakery, and cyber skullduggery that the Internet enables. Providing a much-needed toolkit to help separate fact from fiction, Seife, with his trademark wit and skepticism, addresses the problems that face us every time we turn on our computers and Google our most recent medical symptoms, read a politician’s tweet, fact-check something on Wikipedia, or start an online relationship. Let the clicker beware. |
| dave's fun algebra class wiki: The Vegetarian Myth (16pt Large Print Edition) Lierre Keith, 2011-06-10 Part memoir, nutritional primer, and political manifesto, this controversial examination exposes the destructive history of agricultureâ causing the devastation of prairies and forests, driving countless species extinct, altering the climate, and destroying the topsoilâ and asserts that, in order to save the planet, food must come from within living communities. In order for this to happen, the argument champions eating locally and sustainably and encourages those with the resources to grow their own food. Further examining the question of what to eat from the perspective of both human and environmental health, the account goes beyond health choices and discusses potential moral issues from eatingâ or not eatingâ animals. Through the deeply personal narrative of someone who practiced veganism for 20 years, this unique exploration also discusses alternatives to industrial farming, reveals the risks of a vegan diet, and explains why animals belong on ecologically sound farms. |
| dave's fun algebra class wiki: "Surely You're Joking, Mr. Feynman!": Adventures of a Curious Character Richard P. Feynman, 2018-02-06 One of the most famous science books of our time, the phenomenal national bestseller that buzzes with energy, anecdote and life. It almost makes you want to become a physicist (Science Digest). Richard P. Feynman, winner of the Nobel Prize in physics, thrived on outrageous adventures. In this lively work that “can shatter the stereotype of the stuffy scientist” (Detroit Free Press), Feynman recounts his experiences trading ideas on atomic physics with Einstein and cracking the uncrackable safes guarding the most deeply held nuclear secrets—and much more of an eyebrow-raising nature. In his stories, Feynman’s life shines through in all its eccentric glory—a combustible mixture of high intelligence, unlimited curiosity, and raging chutzpah. Included for this edition is a new introduction by Bill Gates. |
| dave's fun algebra class wiki: Language, Proof, and Logic Dave Barker-Plummer, Jon Barwise, John Etchemendy, 2011 Rev. ed. of: Language, proof, and logic / Jon Barwise & John Etchemendy. |
| dave's fun algebra class wiki: The Penguin Dictionary of Curious and Interesting Numbers David Wells, 1986 Copies 1 and 2 in circulation. |
| dave's fun algebra class wiki: Lectures On Computation Richard P. Feynman, 1996-09-08 Covering the theory of computation, information and communications, the physical aspects of computation, and the physical limits of computers, this text is based on the notes taken by one of its editors, Tony Hey, on a lecture course on computation given b |
| dave's fun algebra class wiki: Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II) Anna Bargagliotti, Christine Franklin, Pip Arnold, Rob Gould, 2020 This document lays out a curriculum framework for pre-K-12 educational programs that is designed to help students achieve data literacy and become statistically literate. The framework and subsequent sections in this book recommend curriculum and implementation strategies covering pre-K-12 statistics education-- |
| dave's fun algebra class wiki: Geometry for the Practical Man James Edgar Thompson, 1962 |
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