Provides a review of introductory noncalculus-based physics for those who do not have a strong background in mathematics.

    

    More importantly, this book provides a framework for thinking about computer organization and design that will enable the reader to continue the lifetime of learning necessary for staying at the forefront of this competitive discipline. --John Crawford Intel Fellow Director of Microprocessor Architecture, Intel The performance of software systems is dramatically affected by how well software designers understand the basic hardware technologies at work in a system. Similarly, hardware designers must understand the far reaching effects their design decisions have on software applications. For readers in either category, this classic introduction to the field provides a deep look into the computer. It demonstrates the relationship between the software and hardware and focuses on the foundational concepts that are the basis for current computer design. Using a distinctive learning by evolution approach the authors present each idea from its first principles, guiding readers through a series of worked examples that incrementally add more complex instructions until they ha

    The new edition continues to reflect the conversational style and clarity that has made this a leader in the market. It explores the key concepts and principles while using the PepsiCo financial statement to clearly show how the information is applied in the real world. The book has also been updated with the latest data as to reflect today's business environment.

    Author Lewis Vaughn offers comprehensive treatments of core topics, including an introduction to claims and arguments, discussions of propositional and categorical logic, and full coverage of the basics of inductive reasoning. Building on this solid foundation, he also delves into areas neglected by other texts, adding extensive material on "inference to the best explanation" and on scientific reasoning; a thorough look at the evaluation of evidence and credibility; and a chapter on the psychological and social factors that can impede critical thinking. Additional notable elements are a chapter on moral reasoning, advice on how to evaluate Internet sources, and guidelines for evaluating occult, paranormal, or supernatural claims. The Power of Critical Thinking, Second Edition, integrates many pedagogical features including hundreds of diverse exercises, examples, and illustrations; progressive, stand-alone writing modules; numerous text boxes; step-by-step guidelines for evaluating claims, arguments, and explanations; a glossary of important terms; and many reminders, summaries, and review notes throughout. The text is supplemented by a companion website at www.oup.com/us/criticalthinking (offering a student study guide and more), and an Instructor's Manual with Test Questions (available both in print and on a CD). This unique text features a modular structure that allows instructors to teach the chapters in almost any order. Written in a student-friendly style and enhanced by humor where appropriate, it is ideal for courses in critical thinking, introduction to logic, informal logic, argumentative writing, and introduction to argumentation. New to the Second Edition * Full-color throughout and an expanded art program (37 more photos and illustrations) * A new writing module--an annotated sample student paper--and five additional essays for analysis * A new section on evaluating news reports and advertising * Timely discussions of intelligent design and population (nonintervention) studies * Expanded coverage of experts and authors and reasons to doubt their reliability * More "Field Problems" and exercise questions * Chapter objectives and key terms with definitions for each chapter

    joyfully shows you how to make nature's numbers dance."--Bill Nye (the science guy)The Magic of Math is the math book you wish you had in school. Using a delightful assortment of examples-from ice-cream scoops and poker hands to measuring mountains and making magic squares-this book revels in key mathematical fields including arithmetic, algebra, geometry, and calculus, plus Fibonacci numbers, infinity, and, of course, mathematical magic tricks. Known throughout the world as the "mathemagician," Arthur Benjamin mixes mathematics and magic to make the subject fun, attractive, and easy to understand for math fan and math-phobic alike."A positively joyful exploration of mathematics."-Publishers Weekly, starred review"Each [trick] is more dazzling than the last."-Physics World

    Punishments. Prices. The Nobel Prize. Candy Crush. Incentives take more forms than you might expect and they can be hard to spot, but they shape our lives in ways that we rarely examine.Some incentives are obvious, like for example, publicly committing to doing something you dislike in order to motivate you to do something difficult, like lose weight. But, many of the most powerful incentives are accidental, and invisible even to those who designed them. Some are tame – and some are most definitely not. Whether it’s bounties for criminals or Instagrammable meals, training your dog or saving the planet, incentives regularly backfire, go missing, mutate and evolve. Without oversight, their unintended consequences can have very global effects. In Incentivology, economist Jason Murphy uncovers the huge incentive systems we take for granted and turns them inside out. In lively, entertaining prose he explores the mechanisms behind many tremendous successes and spectacular failures in our history, culture and everyday lives, and shows us how to use (or lose) incentives in our world at large.

    The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on a large scale, and the development of a variety of new theoretical tools has allowed us to extract new knowledge from many different kinds of networks.The study of networks is broadly interdisciplinary and important developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.Subjects covered include the measurement and structure of networks in many branches of science, methods for analyzing network data, including methods developed in physics, statistics, and sociology, the fundamentals of graph theory, computer algorithms, and spectral methods, mathematical models of networks, including random graph models and generative models, and theories of dynamical processes taking place on networks.

    

    

    During that week, you will learn almost everything modern machine learning has to offer. The author and other practitioners have spent years learning these concepts.Companion wiki — the book has a continuously updated wiki that extends some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources.Flexible price and formats — choose from a variety of formats and price options: Kindle, hardcover, paperback, EPUB, PDF. If you buy an EPUB or a PDF, you decide the price you pay!Read first, buy later — download book chapters for free, read them and share with your friends and colleagues. Only if you liked the book or found it useful in your work, study or business, then buy it.

    It is revealed how all unifications in physics have been based on incredibly simple ideas. Using a logical approach, it is explained how the great 20th century theories of relativity and quantum mechanics share a common base, and how they can be linked using an idea so simple that anyone can understand it. An idea which is so simple it has been hidden in plain sight.

    While this version features an older Dummies cover and design, the content is the same as the new release and should not be considered a different product. The fun and easy way to get up to speed on the basic concepts of physics For high school and undergraduate students alike, physics classes are recommended or required courses for a wide variety of majors, and continue to be a challenging and often confusing course.Physics I For Dummies tracks specifically to an introductory course and, keeping with the traditionally easy-to-follow Dummies style, teaches you the basic principles and formulas in a clear and concise manner, proving that you don't have to be Einstein to understand physics!Explains the basic principles in a simple, clear, and entertaining fashion New edition includes updated examples and explanations, as well as the newest discoveries in the field Contains the newest teaching techniques If just thinking about the laws of physics makes your head spin, this hands-on, friendly guide gets you out of the black hole and sheds light on this often-intimidating subject.

    Johnson. It was the first book exclusively on the theory of NP-completeness and computational intractability. The book features an appendix providing a thorough compendium of NP-complete problems (which was updated in later printings of the book). The book is now outdated in some respects as it does not cover more recent development such as the PCP theorem. It is nevertheless still in print and is regarded as a classic: in a 2006 study, the CiteSeer search engine listed the book as the most cited reference in computer science literature.

    It is the definitive reference guide, now in a second edition. Although the first edition was written in 1978, it continues to be a worldwide best-seller. This second edition brings the classic original up to date to include the ANSI standard. From the Preface: We have tried to retain the brevity of the first edition. C is not a big language, and it is not well served by a big book. We have improved the exposition of critical features, such as pointers, that are central to C programming. We have refined the original examples, and have added new examples in several chapters. For instance, the treatment of complicated declarations is augmented by programs that convert declarations into words and vice versa. As before, all examples have been tested directly from the text, which is in machine-readable form. As we said in the first preface to the first edition, C "wears well as one's experience with it grows." With a decade more experience, we still feel that way. We hope that this book will help you to learn C and use it well.