A Computer Science Reader covers the entire field of computing, from its technological status through its social, economic and political significance. The book's clearly written selections represent the best of what has been published in the first three-and-a-half years of ABACUS, Springer-Verlag's internatioanl quarterly journal for computing professionals. Among the articles included are: - U.S. versus IBM: An Exercise in Futility? by Robert P. Bigelow - Programmers: The Amateur vs. the Professional by Henry Ledgard - The Composer and the Computer by Lejaren Hiller - SDI: A Violation of Professional Responsibility by David L. Parnas - Who Invented the First Electronic Digital Computer? by Nancy Stern - Foretelling the Future by Adaptive Modeling by Ian H. Witten and John G. Cleary - The Fifth Generation: Banzai or Pie-in-the-Sky? by Eric A. Weiss This volume contains more than 30 contributions by outstanding and authoritative authors grouped into the magazine's regular categories: Editorials, Articles, Departments, Reports from Correspondents, and Features. A Computer Science Reader will be interesting and important to any computing professional or student who wants to know about the status, trends, and controversies in computer science today.

How can computers talk to one another . . . and to you? Why is artificial intelligence the new buzzword? How can computers make you healthier? The answers to all those questions-- and more--are in science . . . and in this book. Computers are a vital part of the world today, so the more you know about them and how they work, the better off you'll be. Read on to find out more about how they are made and used. And it's not just computers--science is all around us, every hour of every day. Discover more ways that science is a part of our lives in SCIENCE 24-7! Each title in this series contains color photos, diagrams explaining key science concepts, hands-on activities, and back matter including: an index, further reading lists for books and internet resources, and a series glossary. Mason Crest's editorial team has placed Key Icons to Look for throughout the books in this series in an effort to encourage library readers to build knowledge, gain awareness, explore possibilities and expand their viewpoints through our content rich non-fiction books. Key Icons are as follows: Words to Understand are shown at the front of each chapter with definitions. These words are then used in the prose throughout that chapter, and are emboldened, so that the reader is able to reference back to the definitions- building their vocabulary and enhancing their reading comprehension. Sidebars are highlighted graphics with content rich material within that allows readers to build knowledge and broaden their perspectives by weaving together additional information to provide realistic and holistic perspectives. A Series Glossary of Key Terms is included in the back matter contains terminology used throughout the series. Words found here broaden the reader's knowledge and understanding of terms used in this field.

Learn Computer Science provides the depth aspects of the computer science, software and hardware. In the book a walkthrough of computer science concepts you must know. Especially designed for readers who this field, it is a one of the best and easy computer science guide. It helps to learn the fundamentals you need to program computers in facts. The main topics such as data processing, memory management, database, basics of programming, security, compilers, data structures and Information & communication are covered in this book Learn Computer Science book for students and teachers working in the related fields of computing, database management and computer networking readers. Students focusing on computer science engineering will also find this book helpful.

How To Learn Computer Science is for all ambitious students of computer science. Reading this book will illuminate the subject, explaining where each topic comes from, looking at its history and exploring links to wider culture. The book tackles some key stumbling blocks in each topic such as common misconceptions: mistaken ideas about the topic that slow you down and cause frustration. Plenty of 'fertile questions' prompt you to think hard about the topic, and each chapter encourages you to 'Stretch It' by trying some ambitious activities, 'Link It' to other topics and 'Build It' in the form of a practical project. You will also find links to helpful resources and further reading for greater depth, and some super study skills that will help you achieve a top grade. Read this book for a top grade in Computer Science! Alan Harrison is head of computing at a school in Manchester. He is a Computing at School master teacher and community leader, a National Centre for Computing Education training facilitator and a Raspberry Pi Foundation content author. @mraharrisoncs

The Encyclopedia of Computer Science is the definitive reference in computer science and technology. First published in 1976, it is still the only single volume to cover every major aspect of the field. Now in its Fourth Edition, this influential work provides an historical timeline highlighting the key breakthroughs in computer science and technology, as well as clear and concise explanations of the latest technology and its practical applications. Its unique blend of historical perspective, current knowledge and predicted future trends has earned it its richly deserved reputation as an unrivalled reference classic. What sets the Encyclopedia apart from other reference sources is the comprehensiveness of each of its entries. Encompassing far more than mere definitions, each article elaborates on a topic giving a remarkable breadth and depth of coverage. The visual impact of the volume is enhanced with a 16 page colour insert spotlighting advanced computer applications and computer-generated graphics technology. In addition, the text is enlivened with figures, tables, diagrams, illustrations and photographs. With contributions from over 300 international experts, the 4th Edition contains over 100 completely new articles ranging from artificial life to computer ethics, data mining to Java, mobile computing to quantum computing and software safety to the World Wide Web. In addition, each of the more than 600 articles have been extensively revised, expanded and updated to reflect the latest developments in computer science and technology. Intelligently and thoughtfully organised, all the articles are classified around 9 main themes Hardware Software Computer Systems Information and Data Mathematics of Computing Theory of Computation Methodologies Applications Computing Milieux Within each of these major headings are a wealth of articles that provide the reader with concise yet thorough coverage of the topic. In addition, cross-references are included at the beginning of each article, directing the reader immediately to related material. In addition the Encyclopedia contains useful appendices including: An expanded glossary of major terms in English, German, Spanish and Russian A revised list of abbreviations and acronyms An updated list of computer science and engineering research journals A list of articles from previous editions not included in the 4th edition A Name Index listing almost 3500 individuals cited in the text A comprehensive General Index with 7000 entries A chronology of significant milestones Computer Society & Academic Computer Science Department Listings Numerical Tables, Mathematical Notation and Units of Measure Highly-regarded as an essential resource for computer professionals, engineers, mathematicians, students and scientists, the Encyclopedia of Computer Science is a must-have reference for every college, university, business and high-school library.

In this text we present a technical overview of the emerging field of quantum computation along with new research results by the authors. What distinguishes our presentation from that of others is our focus on the relationship between quantum computation and computer science. Specifically, our emphasis is on the computational model of quantum computing rather than on the engineering issues associated with its physical implementation. We adopt this approach for the same reason that a book on computer programming doesn't cover the theory and physical realization of semiconductors. Another distinguishing feature of this text is our detailed discussion of the circuit complexity of quantum algorithms. To the extent possible we have presented the material in a form that is accessible to the computer scientist, but in many cases we retain the conventional physics notation so that the reader will also be able to consult the relevant quantum computing literature. Although we expect the reader to have a solid understanding of linear algebra, we do not assume a background in physics. This text is based on lectures given as short courses and invited presentations around the world, and it has been used as the primary text for a graduate course at George Mason University. In all these cases our challenge has been the same: how to present to a general audience a concise introduction to the algorithmic structure and applications of quantum computing on an extremely short period of time. The feedback from these courses and presentations has greatly aided in making our exposition of challenging concepts more accessible to a general audience. Table of Contents: Introduction / The Algorithmic Structure of Quantum Computing / Advantages and Limitations of Quantum Computing / Amplitude Amplification / Case Study: Computational Geometry / The Quantum Fourier Transform / Case Study: The Hidden Subgroup / Circuit Complexity Analysis of Quantum Algorithms / Conclusions / Bibliography