The Twelfth Edition's hallmark continues to be its pioneering integration of the proven-effective SQ4R learning system (Survey, Question, Read, Reflect, Review, Recite), which promotes critical thinking as it guides students step-by-step to an understanding of psychology's broad concepts and diversity of topics. Throughout every chapter, these active learning tools—together with the book's example-laced writing style, discussions of positive psychology, cutting-edge coverage of the field's new research findings, and excellent media resources—ensure that students find the study of psychology fascinating, relevant, and above all, accessible.

    These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

    Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

    Explaining how, why, and when the techniques can be expected to work, the Seventh Edition places an even greater emphasis on building readers' intuition to help them understand why the techniques presented work in general, and why, in some situations, they fail. Applied problems from diverse areas, such as engineering and physical, computer, and biological sciences, are provided so readers can understand how numerical methods are used in real-life situations. The Seventh Edition has been updated and now addresses the evolving use of technology, incorporating it whenever appropriate.

    Thoroughly updated, this edition offers new, faster techniques for solving differential equations generated by the emergence of high-speed computers.

    If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others. Whether you're a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in Head First Data Analysis is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool. You'll learn how to:Determine which data sources to use for collecting information Assess data quality and distinguish signal from noise Build basic data models to illuminate patterns, and assimilate new information into the models Cope with ambiguous information Design experiments to test hypotheses and draw conclusions Use segmentation to organize your data within discrete market groups Visualize data distributions to reveal new relationships and persuade others Predict the future with sampling and probability models Clean your data to make it useful Communicate the results of your analysis to your audience Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Data Analysis uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.

    It can be freely downloaded and it works on multiple computer platforms. This book provides an elementary introduction to R. In each chapter, brief introductory sections are followed by code examples and comments from the computational and statistical viewpoint. A supplementary R package containing the datasets can be downloaded from the web.

    Garrison takes you on a vivid exploration of the ocean--from submarine canyons to zooplankton, global warming, the growing plastics problem, and our changing coastlines--and explains oceanography's most important concepts. Garrison's engaging, reader-friendly approach helps you understand the complexities involved in how we study and use the ocean. You'll explore topics like Hurricane Katrina; the devastating December 2004 earthquake in the Indian Ocean and the resulting tsunami; the moon and its connection to the ocean; the power of the ocean to influence weather; and uses and abuses of the ocean. Gain an understanding of the wonders of the sea and the scientific questions that surround it with this enjoyable, fascinating book!

    His aim is to present calculus as the first real encounter with mathematics: it is the place to learn how logical reasoning combined with fundamental concepts can be developed into a rigorous mathematical theory rather than a bunch of tools and techniques learned by rote. Since analysis is a subject students traditionally find difficult to grasp, Spivak provides leisurely explanations, a profusion of examples, a wide range of exercises and plenty of illustrations in an easy-going approach that enlightens difficult concepts and rewards effort. Calculus will continue to be regarded as a modern classic, ideal for honours students and mathematics majors, who seek an alternative to doorstop textbooks on calculus, and the more formidable introductions to real analysis.

    The novel approach taken here banishes determinants to the end of the book and focuses on the central goal of linear algebra: understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents - without having defined determinants - a clean proof that every linear operator on a finite-dimensional complex vector space (or an odd-dimensional real vector space) has an eigenvalue. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. This second edition includes a new section on orthogonal projections and minimization problems. The sections on self-adjoint operators, normal operators, and the spectral theorem have been rewritten. New examples and new exercises have been added, several proofs have been simplified, and hundreds of minor improvements have been made throughout the text.

    Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

    Now with the strongest coverage of research writing in a full-sized handbook, the seventh edition helps students meet one of the core challenges of academic writing: maintaining their own voice while writing from sources. This edition also adds innovative tips from writing center tutors, sound advice for writing across the curriculum, and substantially more help for writing with and writing about visuals.

    This well-written book is grounded in the reality of teaching today to show real-world teachers who want to use assessment in their classroom the latest tools necessary to teach more effectively. The fifth edition of Classroom Assessment addresses the range of assessments that teachers are likely to use in their classrooms. With expanded coverage of problems related to measurement of special education children, a new student website with online activities, and an improved instructor's manual, this book continues to be a cutting-edge and indispensable resource not only for instructors, but also for pre- and in-service teachers. New to This Edition: *Chapter 12 contains new material dealing with formative assessment as well as assessment FOR learning. *The text is committed to fostering readers' realizations regarding the critical link between testing and teaching. Instructional implications are constantly stressed in the text. early childhood assessment throughout the text. *The 5th edition contains a brand-new website providing readers with Extra Electronic Exercises for each chapter, so readers, if they wish, can solidify their understanding of what chapters address (go to www.ablongman.com/popham5e). *A newly revised Instructor's Resource Manual contains Instructor-to-Instructor suggestions as well as a test for each chapter. It also includes a mid-term and final exam and an effective inventory measuring students' confidence in assessment. Here's what your colleagues have to say about this book: Dr. Popham has done a tremendous job in researching and incorporating current trends throughout the entire text! Terry H. Stepka, Arkansas State University Overall, I am extremely satisfied with the text. It is well-written, and I love the author's sense of humor! Terry H. Stepka, Arkansas State University I LOVE the arrangement of the chapters and the high quality of the self-checks and discussion questions that are provided. Karen E. Eifler, University of Portland

    In addition to explaining the basic moves, this book provides writing templates that show students explicitly how to make these moves in their own writing.

    The authors include a broad range of contemporary applications to motivate students understanding of how physics works in the real world. In addition, new pedagogy, reflecting the findings of physics education research, has been added to help students improve their problem solving skills and conceptual understanding. The text's flexible, accessible, and focused presentation, coupled with extraordinary text/media integration through PhysicsNow, gives instructors and students the tools they need to succeed. This text, which covers the standard topics in classical physics and 20th century physics, is divided into six parts. Newtonian mechanics and the physics of fluids (Part I); heat and thermodynamics (Part II); wave motion and sound (Part III); electricity and magnetism (Part IV); properties of light and the field of geometric and wave optics (Part V); and an introduction to special relativity, quantum physics, and atomic and nuclear physics (Part VI).