People need to be effective.Productivity books focus on doing more, Jim and Tonianne want you to focus on doing better. Personal Kanban is about choosing the right work at the right time. Recognizing why we do the things we do. Understanding the impact of our actions. Creating value - not just product. For ourselves, our families, our friends, our co-workers. For our legacy.Personal Kanban takes the same Lean principles from manufacturing that led the Japanese auto industry to become a global leader in quality, and applies them to individual and team work. Personal Kanban asks only that we visualize our work and limit our work-in-progress. Visualizing work allows us to transform our conceptual and threatening workload into an actionable, context-sensitive flow. Limiting our work-in-progress helps us complete what we start and understand the value of our choices. Combined, these two simple acts encourage us to improve the way we work and the way we make choices to balance our personal, professional, and social lives.Neither a prescription nor a plan, Personal Kanban provides a light, actionable, achievable framework for understanding our work and its context. This book describes why students, parents, business leaders, major corporations, and world governments all see immediate results with Personal Kanban.

    Operations Management presents a broad introduction to the field of operations in a realistic and practical manner, while offering the largest and most diverse collection of problems on the market.

    At the beginning each chapter, readers “meet” a new client through a case example. The author then presents the theory’s basic philosophical assumptions; its beliefs about what motivates human behavior; its central constructs; its picture of how humans develop; its ideas about what constitutes mental health and dysfunction; its perspective on how our relationships with those around us impact our functioning; and its view of how our behavior, thoughts, and emotion impact our functioning. Throughout each chapter, the author immediately illustrates the application of a construct or process by showing how it relates to the client case described at the beginning of the chapter, demonstrating the translation of each theory into practice. The second edition includes three new chapters (Chapter 3: Neoanalytic Approaches, Chapter 6: Existential Psychotherapy, Chapter 15: Narrative Therapy) and a companion DVD to accompany the texts. See applications of theory come to life! The Theories in Action DVD illustrates six therapists of different theoretical orientations working with the same client.

    It is a much-needed alternative to the commentators who blather on about the perils of the Internet and social media. Tell Everyone is a manifesto on the power of social media and the ways in which it can be harnessed for good.Bringing together journalistic flair and academic rigour, online news pioneer and social media maven Alfred Hermida debunks the idea of Twitter as an echo chamber or Instagram as a place for narcissists. Instead Hermida places our fears about social media in context by showing how we have always been suspicious about new ways to communicate. He takes on the notion of slacktivism to show how individuals come together through social media to push for the common good.Tell Everyone reveals how social media is becoming the planet's nervous system. It highlights how we are using social media to amplify the power of individuals, challenge elites and make decisions, from choosing politicians to doing business to raising money for charity. Tell Everyone is a must-read tour of journalistic blunder, corporate PR fiascos, social movements and revolutions.

    It is written for courses teaching leadership theory and application. The Leadership Experience integrates recent ideas and practices with established scholarly research in a way that makes the topic of leadership come alive.

    This book is intended for use in a one- or two-semester course in environmental science, human ecology, or environmental studies at the college or advanced placement high school level.

    It shows teachers how to create an environment in which technology can effectively enhance learning. It contains a technology integration framework that builds on research and the TIP model.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    Survey Methodology describes the basic principles of survey design discovered in methodological research over recent years and offers guidance for making successful decisions in the design and execution of high quality surveys. Written by six nationally recognized experts in the field, this book covers the major considerations in designing and conducting a sample survey. Topical, accessible, and succinct, this book represents the state of the science in survey methodology. Employing the "total survey error" paradigm as an organizing framework, it merges the science of surveys with state-of-the-art practices. End-of-chapter terms, references, and exercises enhance its value as a reference for practitioners and as a text for advanced students.

    John Seely Brown and Paul Duguid argue that the gap between digerati hype and end-user gloom is largely due to the "tunnel vision" that information-driven technologies breed. We've become so focused on where we think we ought to be--a place where technology empowers individuals and obliterates social organizations--that we often fail to see where we're really going.The Social Life of Information shows us how to look beyond our obsession with information and individuals to include the critical social networks of which these are always a part.

    Today millions of students, parents, and teachers use the Khan Academy's free videos and software, which have expanded to encompass nearly every conceivable subject; and Academy techniques are being employed with exciting results in a growing number of classrooms around the globe.Like many innovators, Khan rethinks existing assumptions and imagines what education could be if freed from them. And his core idea-liberating teachers from lecturing and state-mandated calendars and opening up class time for truly human interaction-has become his life's passion. Schools seek his advice about connecting to students in a digital age, and people of all ages and backgrounds flock to the site to utilize this fresh approach to learning.In THE ONE WORLD SCHOOLHOUSE, Khan presents his radical vision for the future of education, as well as his own remarkable story, for the first time. In these pages, you will discover, among other things:* How both students and teachers are being bound by a broken top-down model invented in Prussia two centuries ago* Why technology will make classrooms more human and teachers more important* How and why we can afford to pay educators the same as other professionals* How we can bring creativity and true human interactivity back to learning* Why we should be very optimistic about the future of learning.Parents and politicians routinely bemoan the state of our education system. Statistics suggest we've fallen behind the rest of the world in literacy, math, and sciences. With a shrewd reading of history, Khan explains how this crisis presented itself, and why a return to "mastery learning," abandoned in the twentieth century and ingeniously revived by tools like the Khan Academy, could offer the best opportunity to level the playing field, and to give all of our children a world-class education now.More than just a solution, THE ONE WORLD SCHOOLHOUSE serves as a call for free, universal, global education, and an explanation of how Khan's simple yet revolutionary thinking can help achieve this inspiring goal.

     into their ideal job   Each year tens of thousands of students will, after years of hard work and enormous amounts of money, earn their Ph.D. And each year only a small percentage of them will land a job that justifies and rewards their investment. For every comfortably tenured professor or well-paid former academic, there are countless underpaid and overworked adjuncts, and many more who simply give up in frustration.   Those who do make it share an important asset that separates them from the pack: they have a plan. They understand exactly what they need to do to set themselves up for success.  They know what really moves the needle in academic job searches, how to avoid the all-too-common mistakes that sink so many of their peers, and how to decide when to point their Ph.D. toward other, non-academic options.   Karen Kelsky has made it her mission to help readers join the select few who get the most out of their Ph.D. As a former tenured professor and department head who oversaw numerous academic job searches, she knows from experience exactly what gets an academic applicant a job. And as the creator of the popular and widely respected advice site The Professor is In, she has helped countless Ph.D.’s turn themselves into stronger applicants and land their dream careers.   Now, for the first time ever, Karen has poured all her best advice into a single handy guide that addresses the most important issues facing any Ph.D., including:   -When, where, and what to publish -Writing a foolproof grant application -Cultivating references and crafting the perfect CV -Acing the job talk and campus interview -Avoiding the adjunct trap -Making the leap to nonacademic work, when the time is right  The Professor Is In addresses all of these issues, and many more.

    By staying current, remaining relevant, and adapting to emerging course needs, this market-leading text has continued to define the operating systems course. This Seventh Edition not only presents the latest and most relevant systems, it also digs deeper to uncover those fundamental concepts that have remained constant throughout the evolution of today's operation systems. With this strong conceptual foundation in place, students can more easily understand the details related to specific systems. New Adaptations * Increased coverage of user perspective in Chapter 1. * Increased coverage of OS design throughout. * A new chapter on real-time and embedded systems (Chapter 19). * A new chapter on multimedia (Chapter 20). * Additional coverage of security and protection. * Additional coverage of distributed programming. * New exercises at the end of each chapter. * New programming exercises and projects at the end of each chapter. * New student-focused pedagogy and a new two-color design to enhance the learning process.

    Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know. We chose the title `learning from data' that faithfully describes what the subject is about, and made it a point to cover the topics in a story-like fashion. Our hope is that the reader can learn all the fundamentals of the subject by reading the book cover to cover. ---- Learning from data has distinct theoretical and practical tracks. In this book, we balance the theoretical and the practical, the mathematical and the heuristic. Our criterion for inclusion is relevance. Theory that establishes the conceptual framework for learning is included, and so are heuristics that impact the performance of real learning systems. ---- Learning from data is a very dynamic field. Some of the hot techniques and theories at times become just fads, and others gain traction and become part of the field. What we have emphasized in this book are the necessary fundamentals that give any student of learning from data a solid foundation, and enable him or her to venture out and explore further techniques and theories, or perhaps to contribute their own. ---- The authors are professors at California Institute of Technology (Caltech), Rensselaer Polytechnic Institute (RPI), and National Taiwan University (NTU), where this book is the main text for their popular courses on machine learning. The authors also consult extensively with financial and commercial companies on machine learning applications, and have led winning teams in machine learning competitions.

    Providing a well-rounded perspective of international markets that encompasses history, geography, language, and religion as well as economics, Cateora helps students to see the cultural and environmental uniqueness of any nation or region. The 15th edition reflects all the important events and innovations to affect global business within recent years, while including several new and updated technological learning tools.