. . everything you need to master the most widely used management science techniques using Microsoft Excel is right here Learning to make decisions in today's business world takes training and experience. Cliff Ragsdale--the respected innovator in the field of management science--is an outstanding guide to help you learn the skills you need, use Microsoft Excel for Windows to implement those skills, and gain the confidence to apply what you learn to real business situations. SPREADSHEET MODELING AND DECISION ANALYSIS gives you step-by-step instructions and annotated screen shots to make examples easy to follow. Plus, interesting sections called The World of Management Science show you how each topic has been applied in a real company.

    The text examines the basics of analog image analysis while placing greater emphasis on digitally based systems and analysis techniques. The presentation is discipline neutral, so students in any field of study can gain a clear understanding of these systems and their virtually unlimited applications.

    As the size and complexity of commercial software have grown, the gap between academic computer science and industry has widened. It's an open secret that there is little engineering in software engineering, which continues to rely not on codified scientific knowledge but on intuition and experience.Barr, who worked as a programmer for more than twenty years, describes how the industry has evolved, from the era of mainframes and Fortran to today's embrace of the cloud. He explains bugs and why software has so many of them, and why today's interconnected computers offer fertile ground for viruses and worms. The difference between good and bad software can be a single line of code, and Barr includes code to illustrate the consequences of seemingly inconsequential choices by programmers. Looking to the future, Barr writes that the best prospect for improving software engineering is the move to the cloud. When software is a service and not a product, companies will have more incentive to make it good rather than "good enough to ship."

    S. Ramachandran is at the forefront of his field-so much so that Richard Dawkins dubbed him the "Marco Polo of neuroscience." Now, in a major new work, Ramachandran sets his sights on the mystery of human uniqueness. Taking us to the frontiers of neurology, he reveals what baffling and extreme case studies can teach us about normal brain function and how it evolved. Synesthesia becomes a window into the brain mechanisms that make some of us more creative than others. And autism--for which Ramachandran opens a new direction for treatment--gives us a glimpse of the aspect of being human that we understand least: self-awareness. Ramachandran tackles the most exciting and controversial topics in neurology with a storyteller's eye for compelling case studies and a researcher's flair for new approaches to age-old questions. Tracing the strange links between neurology and behavior, this book unveils a wealth of clues into the deepest mysteries of the human brain.

    Now in its Eleventh Edition, this classic atlas continues to provide students with accurate anatomical images presented in a pedagogically effective, clinically relevant manner. This new edition has been revised to include 100 additional four-color illustrations, additional orientation drawings, and updated terminology.This edition is packaged with a student version of Dynamic Human Anatomy, an interactive electronic supplement which includes 800 images from the Eleventh Edition of Grant's, 8 video clips from Acland's DVD Atlas of Human Anatomy, and 100 USMLE-style review questions in anatomy.

    This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.

    Now in its eleventh edition, it has become the standard introductory text for accounting students and professionals alike. The book is used on a wide variety of courses in accounting and business, both at secondary and tertiary level and for those studying for professional qualifications. It builds on Business Accounting 1 to cover advanced aspects of financial accounting. It also covers introductory aspects of management accounting suitable for use at all levels up to and including professional foundation level courses and first-year degree courses.

    This highly anticipated fourth edition of the most ...Download Link : readmeaway.com/download?i=0128042915            0128042915 Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF by Ian H. WittenRead Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF from Morgan Kaufmann,Ian H. WittenDownload Ian H. Witten's PDF E-book Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

    Each essay is written by an experienced teacher/scholar and describes one of the major pedagogies employed today: process, expressive, rhetorical, collaborative, feminist, critical, cultural studies, community service, and basic writing. Writing centers, writing across the curriculum, and technology and the teaching of writing are also discussed. The essays are composed of personal statements on pedagogical applications and bibliographical guides that aid students and new teachers in further study and research. Contributors include Christopher Burnham, William A. Covino, Ann George, Diana George, Eric H. Hobson, Rebecca Moore Howard, Susan C. Jarratt, Laura Julier, Susan McLeod, Charles Moran, Deborah Mutnick, Lad Tobin, and John Trimbur. An invaluable tool for graduate students and new teachers, A Guide to Composition Pedagogies provides an exceptional introduction to composition studies and the extensive range of pedagogical approaches used today.

    This updated edition of the powerful bestseller examines new research on brain functioning and translates this information into effective classroom strategies and activities.

    This text helps develop in readers the skills, knowledge and strategies needed to read and interpret research reports and to evaluate the quality of such reports.

    This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science.The book is suitable for either a one-semester or a two-semester undergraduate level course in discrete systems and digital signal processing. It is also intended for use in a one-semester first-year graduate-level course in digital signal processing.

    This comprehensive work covers both statistical and symbolic approaches to language processing; it shows how they can be applied to important tasks such as speech recognition, spelling and grammar correction, information extraction, search engines, machine translation, and the creation of spoken-language dialog agents. The following distinguishing features make the text both an introduction to the field and an advanced reference guide.- UNIFIED AND COMPREHENSIVE COVERAGE OF THE FIELDCovers the fundamental algorithms of each field, whether proposed for spoken or written language, whether logical or statistical in origin.- EMPHASIS ON WEB AND OTHER PRACTICAL APPLICATIONSGives readers an understanding of how language-related algorithms can be applied to important real-world problems.- EMPHASIS ON SCIENTIFIC EVALUATIONOffers a description of how systems are evaluated with each problem domain.- EMPERICIST/STATISTICAL/MACHINE LEARNING APPROACHES TO LANGUAGE PROCESSINGCovers all the new statistical approaches, while still completely covering the earlier more structured and rule-based methods.

    It explores the services that banks and their principal competitors (including savings and loans, credit unions, security and investment firms) offer in an increasingly competitive financial-services marketplace. The ninth edition discusses the major changes and events that are remaking banking and financial services today. Among the key events and unfolding trends covered in the text are: Newest Reforms in the Financial System, including the new Dodd-Frank Financial Reform Law and the Credit Card Accountability, Responsibility, and Disclosure (CARD) Act of 2009. Global Financial Sector coverage of the causes and impact of the latest "great recession." Systemic Risk and the presentation of the challenges posed in the financial system. Exploration of changing views on the "too big to fail" (TBTF) doctrine and how regulators may be forced to deal with TBTF in the future. Controlling Risk Exposure presentation of methods in an increasingly volatile economy

    Completely self-contained, heavily illustrated, and mathematically accessible, it has a scope of application that is not limited to the solution of specialized problems. Digital Image Fundamentals. Image Enhancement in the Spatial Domain. Image Enhancement in the Frequency Domain. Image Restoration. Color Image Processing. Wavelets and Multiresolution Processing. Image Compression. Morphological Image Processing. Image Segmentation. Representation and Description. Object Recognition.