Computing

All statistical concepts are illustrated with applied examples immediately upon introduction. Modern computing tools and applications are introduced, and the text maintains a strong focus on pre

This collection of work from the US, Europe, and Australia offers a variety of perspectives on end-user computing (EUC). Some topics of discussion include collaboration between end users and developer

Designed to comply with the syllabus guidelines presented by the association of Computing Machinery, the textbook gives students taking the CS103 Data Structures and Algorithms course plenty of code e

There have been numerous possible scenarios depicted on the impact of the internet on urban spaces. Considering ubiquitous/pervasive computing, mobile, wireless connectivity and the acceptance of the

Highlighting modern computational methods, Applied Stochastic Modelling, Second Edition provides students with the practical experience of scientific computing in applied statistics through a range of

本書以ACM和IEEE/CS Computing Curricula 2005課程體系，以及教育部計算機科學與技術教學指導委員會發布的“高等學校計算機科學與技術本科專業規范”中制定的關于數據結構和算法設計與分析的知識結構和體系為依據，以基本數據結構和抽象數據類型為知識單元編寫而成。全書共分12章，涵蓋cc2005課程體系中有關算法與數據結構的知識結構和體系的重要內容，包括數據結構與算法概論，線性表

Taking greater advantage of powerful computing capabilities over the last several years, the development of fundamental information and new models has led to major advances in nearly every aspect of c

Install and Configure Grid Control to Manage Your Oracle LandscapeBuild a robust grid computing infrastructure with guidance from an Oracle expert who developed and taught the Grid Control Deep Dive c

A Complete Introduction to probability AND its computer Science Applications USING R Probability with R serves as a comprehensive and introductory book on probability with an emphasis on computing-re

The first practical guide to infrastructure security using Intelligent Transportation Systems (ITS) Intelligent Transportation Systems, or ITS, integrates different computing, control, and communicat

Number theory is one of the oldest and most appealing areas of mathematics. Computation has always played a role in number theory, a role which has increased dramatically in the last 20 or 30 years, both because of the advent of modern computers, and because of the discovery of surprising and powerful algorithms. As a consequence, algorithmic number theory has gradually emerged as an important and distinct field with connections to computer science and cryptography as well as other areas of mathematics. This text provides a comprehensive introduction to algorithmic number theory for beginning graduate students, written by the leading experts in the field. It includes several articles that cover the essential topics in this area, and in addition, there are contributions pointing in broader directions, including cryptography, computational class field theory, zeta functions and L-series, discrete logarithm algorithms, and quantum computing.

R, an Open Source software, has become the de facto statistical computing environment. It has an excellent collection of data manipulation and graphics capabilities. It is extensible and comes with a

You're in emergency health care. How do you get seamless access to semantic Web services anytime, anywhere, by using any mobile computing device?This book provides all the answers. It presents the des

This is a full-length history of the Western Electric Company, which was the manufacturing arm of the Bell System. As manufacturer in the communications revolutions in the nineteenth and twentieth centuries, Western Electric made products that accelerated society's pace, such as telegraphs, telephones, an early computing machine, radios, radar and transistors. Western's history offers numerous examples of the difference between innovation and implementation. The aftermath of Western's 1882 acquisition by Bell Telephone, for instance, reveals vertical integration as a lengthy process rather than a single event. Ironically, although Western transformed business worldwide with innovations in areas such as quality control and industrial psychology, the company was slow to implement these innovations itself. Western's dual role as captive supplier for a regulated monopoly and as government contractor led to its most rapid change, in the area of civil rights.

Introducing engineering students to numerical analysis and computing, this book covers a range of topics suitable for the first three years of a four year undergraduate engineering degree. The teachin

In this undergraduate computer graphics textbook, Sung (U. of Washington Bothell) and two other computing and software systems experts introduce the topics beyond standard programming that go into a c

A new advanced text/reference presenting a computational approach to discrete mathematics. It will also serve as a brief manual for the accompanying combinatorial computing programs, 'combinatorics'

Personal computing has reshaped economies and industries, and is transforming how we express ourselves and relate to one another. The most personal of personal computers are the portables. We carry th

Kirk (Metropolitan State U., US) organizes and assembles research and ideas that germinated as she completed her Ph.D. in women's studies and women in computing. She presents an in-depth interdiscipli

Despite the exponential growth of computing and communications technology, the inertia of old business technology management practices still drives most investment decisions in this area. Companies sp

Algorithmic Aspects of Graph Connectivity is the first comprehensive book on this central notion in graph and network theory, emphasizing its algorithmic aspects. Because of its wide applications in the fields of communication, transportation, and production, graph connectivity has made tremendous algorithmic progress under the influence of the theory of complexity and algorithms in modern computer science. The book contains various definitions of connectivity, including edge-connectivity and vertex-connectivity, and their ramifications, as well as related topics such as flows and cuts. The authors thoroughly discuss new concepts and algorithms that allow for quicker and more efficient computing, such as maximum adjacency ordering of vertices. Covering both basic definitions and advanced topics, this book can be used as a textbook in graduate courses in mathematical sciences, such as discrete mathematics, combinatorics, and operations research, and as a reference book for specialists i

This book tells Malorie's story, from her school years and business studies at university to her career in computing and her family life. It includes an interview and the journey to becoming a success

This book constitutes the refereed proceedings of the 14th International Conference on Parallel Computing, Euro-Par 2008, held in Las Palmas de Gran Canaria, Spain, in August 2008.The 86 revised paper

This volume presents recent methodological developments in Applied/Computational Statistics. A wide range of topics is covered including Advances on Statistical Computing Environments, Classification

PHP, originally created in 1994 as a ??~Personal Home Page' tool, is a server-side programming language that can be used to solve numerous computing problems that a client-side language like JavaScri

Yang (U. of Cambridge) offers a graduate or undergraduate textbook introducing algorithms commonly used in computational mathematics and modern scientific computing. It ranges from mathematical founda

If you’re a part of the business world, chances are that you need to use a laptop for mobile computing. Newly revised and updated to serve as a valuable guide for anyone who operates a laptop computer

This is the first book on applied econometrics using the R system for statistical computing and graphics. It presents hands-on examples for a wide range of econometric models, from classical linear re

1.本書以「理論」、「實務」、「個案」三個導向為主要架構，十分適合企業管理、資訊管理、行銷管理、商務管理、工業工程管理…等科系作為管理資訊系統或企業電子化的教學用書，也非常適合對資訊管理或企業e化有興趣的社會人士作為自修學習之用。 2.隨著Enterprise 2.0 時代的來臨，管理資訊系統(MIS) 面臨了許多新的議題。例如：Web Computing、Web 2.0、Enterprise 2

R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at many levels as well as for prac

This textbook covers the basics of the MATLAB software for engineers by first explaining the fundamentals of computing, programming languages and the algorithms used for problem-solving. Kalechman (el

An introduction to scientific computing for differential equations Introduction to Computation and Modeling for Differential Equations provides a unified and integrated view of numerical analysis, ma

Since its emergence in the early twentieth century, quantum theory has become the fundamental physical paradigm, and is essential to our understanding of the world. Providing a deeper understanding of the microscopic world through quantum theory, this supplementary text reviews a wider range of topics than conventional textbooks. Emphasis is given to modern entanglement, quantum teleportation, and Bose-Einstein condensation. Macroscopic quantum effects of practical relevance, for example superconductivity and the quantum Hall effect, are also described. Looking to the future, the author discusses the exciting prospects for quantum computing. Physical, rather than formal, explanations are given, and mathematical formalism is kept to a minimum so readers can understand the concepts more easily. Theoretical discussions are combined with a description of the corresponding experimental results. This book is ideal for undergraduate and graduate students in quantum theory and quantum optics.

"Clear, correct, and deep, this is a welcome addition to discussions of law and computing for anyone -- even lawyers!" -- Lawrence Lessig, Professor of Law at Stanford Law School and founder of the St

RFID technology has been available for decades, but it is only recently that its application has become a core topic for computing. This book introduces the technologies and techniques of large-scale

Models and likelihood are the backbone of modern statistics. This 2003 book gives an integrated development of these topics that blends theory and practice, intended for advanced undergraduate and graduate students, researchers and practitioners. Its breadth is unrivaled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain Monte Carlo, estimating functions, asymptotic approximations, local likelihood and spline regressions as well as on more standard topics such as likelihood and linear and generalized linear models. Each chapter contains a wide range of problems and exercises. Practicals in the S language designed to build computing and data analysis skills, and a library of data sets to accompany the book, are available over the Web.

Teaches students how to solve ethical dilemmas in the field of computing, taking a philosophical, rather than a legal, approach to the topic. It first examines the principles of Idealism, Realism, Pragmatism, Existentialism, and Philosophical Analysis, explaining how each of them might be adopted as a basis for solving computing dilemmas. The book then presents a worksheet of key questions to be used in solving dilemmas. Twenty-nine cases, drawn from the real-life experiences of computer professionals, are included in the book as a means to let students experiment with solving ethical dilemmas and identify the philosophical underpinnings of the solutions.

Teaches students how to solve ethical dilemmas in the field of computing, taking a philosophical, rather than a legal, approach to the topic. It first examines the principles of Idealism, Realism, Pragmatism, Existentialism, and Philosophical Analysis, explaining how each of them might be adopted as a basis for solving computing dilemmas. The book then presents a worksheet of key questions to be used in solving dilemmas. Twenty-nine cases, drawn from the real-life experiences of computer professionals, are included in the book as a means to let students experiment with solving ethical dilemmas and identify the philosophical underpinnings of the solutions.

Research on applying principles of quantum computing to improve the engineering of intelligent systems has been launched since late 1990s. This emergent research field concentrates on studying on quan

Comprehensive textbook covering the fundamental principles and models underlying the theory, algorithms and systems aspects of distributed computing. For advanced undergraduate and graduate students o