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Computer Ethics

Computer Architecture Fundamentals and Principles of Computer Design Second Edition

Computer Architecture Fundamentals and Principles of Computer Design Second Edition

Not only does almost everyone in the civilized world use a personal computer smartphone and/or tablet on a daily basis to communicate with others and access information but virtually every other modern appliance vehicle or other device has one or more computers embedded inside it. One cannot purchase a current-model automobile for example without several computers on board to do everything from monitoring exhaust emissions to operating the anti-lock brakes to telling the transmission when to shift and so on. Appliances such as clothes washers and dryers microwave ovens refrigerators etc. are almost all digitally controlled. Gaming consoles like Xbox PlayStation and Wii are powerful computer systems with enhanced capabilities for user interaction. Computers are everywhere even when we don’t see them as such and it is more important than ever for students who will soon enter the workforce to understand how they work. This book is completely updated and revised for a one-semester upper level undergraduate course in Computer Architecture and suitable for use in an undergraduate CS EE or CE curriculum at the junior or senior level. Students should have had a course(s) covering introductory topics in digital logic and computer organization. While this is not a text for a programming course the reader should be familiar with computer programming concepts in at least one language such as C C++ or Java. Previous courses in operating systems assembly language and/or systems programming would be helpful but are not essential. | Computer Architecture Fundamentals and Principles of Computer Design Second Edition

GBP 56.99
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Computer Algebra Concepts and Techniques

Computer Systems Architecture

Computer Systems Architecture

Computer Systems Architecture provides IT professionals and students with the necessary understanding of computer hardware. It addresses the ongoing issues related to computer hardware and discusses the solutions supplied by the industry. The book describes trends in computing solutions that led to the current available infrastructures tracing the initial need for computers to recent concepts such as the Internet of Things. It covers computers’ data representation explains how computer architecture and its underlying meaning changed over the years and examines the implementations and performance enhancements of the central processing unit (CPU). It then discusses the organization hierarchy and performance considerations of computer memory as applied by the operating system and illustrates how cache memory significantly improves performance. The author proceeds to explore the bus system algorithms for ensuring data integrity input and output (I/O) components methods for performing I/O various aspects relevant to software engineering and nonvolatile storage devices such as hard drives and technologies for enhancing performance and reliability. He also describes virtualization and cloud computing and the emergence of software-based systems’ architectures. Accessible to software engineers and developers as well as students in IT disciplines this book enhances readers’ understanding of the hardware infrastructure used in software engineering projects. It enables readers to better optimize system usage by focusing on the principles used in hardware systems design and the methods for enhancing performance.

GBP 44.99
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Computer A History of the Information Machine

International e-Conference on Computer Science (IeCCS 2005)

Formal Methods in Computer Science

Philosophy through Computer Science An Introduction

Philosophy through Computer Science An Introduction

What do philosophy and computer science have in common? It turns out quite a lot! In providing an introduction to computer science (using Python) Daniel Lim presents in this book key philosophical issues ranging from external world skepticism to the existence of God to the problem of induction. These issues and others are introduced through the use of critical computational concepts ranging from image manipulation to recursive programming to elementary machine learning techniques. In illuminating some of the overlapping conceptual spaces of computer science and philosophy Lim teaches readers fundamental programming skills and allows them to develop the critical thinking skills essential for examining some of the enduring questions of philosophy. Key Features Teaches readers actual computer programming not merely ideas about computers Includes fun programming projects (like digital image manipulation and Game of Life simulation) allowing the reader to develop the ability to write larger computer programs that require decomposition abstraction and algorithmic thinking Uses computational concepts to introduce clarify and develop a variety of philosophical issues Covers various aspects of machine learning and relates them to philosophical issues involving science and induction as well as to ethical issues Provides a framework to critically analyze arguments in classic and contemporary philosophical debates | Philosophy through Computer Science An Introduction

GBP 32.99
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Aircraft Digital Electronic and Computer Systems

Choosing and Keeping Computer Staff Recruitment Selection and Development of Computer Personnel

Fundamentals of Computer Graphics

Probability and Statistics for Computer Scientists

Probability and Statistics for Computer Scientists

Praise for the Second Edition: The author has done his homework on the statistical tools needed for the particular challenges computer scientists encounter. [He] has taken great care to select examples that are interesting and practical for computer scientists. . The content is illustrated with numerous figures and concludes with appendices and an index. The book is erudite and … could work well as a required text for an advanced undergraduate or graduate course. Computing Reviews Probability and Statistics for Computer Scientists Third Edition helps students understand fundamental concepts of Probability and Statistics general methods of stochastic modeling simulation queuing and statistical data analysis; make optimal decisions under uncertainty; model and evaluate computer systems; and prepare for advanced probability-based courses. Written in a lively style with simple language and now including R as well as MATLAB this classroom-tested book can be used for one- or two-semester courses. Features: Axiomatic introduction of probability Expanded coverage of statistical inference and data analysis including estimation and testing Bayesian approach multivariate regression chi-square tests for independence and goodness of fit nonparametric statistics and bootstrap Numerous motivating examples and exercises including computer projects Fully annotated R codes in parallel to MATLAB Applications in computer science software engineering telecommunications and related areas In-Depth yet Accessible Treatment of Computer Science-Related TopicsStarting with the fundamentals of probability the text takes students through topics heavily featured in modern computer science computer engineering software engineering and associated fields such as computer simulations Monte Carlo methods stochastic processes Markov chains queuing theory statistical inference and regression. It also meets the requirements of the Accreditation Board for Engineering and Technology (ABET). About the Author Michael Baron is David Carroll Professor of Mathematics and Statistics at American University in Washington D. C. He conducts research in sequential analysis and optimal stopping change-point detection Bayesian inference and applications of statistics in epidemiology clinical trials semiconductor manufacturing and other fields. M. Baron is a Fellow of the American Statistical Association and a recipient of the Abraham Wald Prize for the best paper in Sequential Analysis and the Regents Outstanding Teaching Award. M. Baron holds a Ph. D. in statistics from the University of Maryland. In his turn he supervised twelve doctoral students mostly employed on academic and research positions.

GBP 99.99
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Computer Aided Policy Making

Computer Access for People with Disabilities A Human Factors Approach

Visual Perception from a Computer Graphics Perspective

Cybercrime and Information Technology The Computer Network Infrastructure and Computer Security Cybersecurity Laws Internet of Things (IoT

Cybercrime and Information Technology The Computer Network Infrastructure and Computer Security Cybersecurity Laws Internet of Things (IoT

Cybercrime and Information Technology: Theory and Practice—The Computer Network Infostructure and Computer Security Cybersecurity Laws Internet of Things (IoT) and Mobile Devices is an introductory text addressing current technology trends and security issues. While many books on the market cover investigations forensic recovery and presentation of evidence and others explain computer and network security this book explores both explaining the essential principles governing computers wireless and mobile devices the Internet of Things cloud systems and their significant vulnerabilities. Only with this knowledge can students truly appreciate the security challenges and opportunities for cybercrime that cannot be uncovered investigated and adjudicated unless they are understood. The legal portion of the book is an overview of the legal system in the United States including cyberlaw standards and regulations affecting cybercrime. This section includes cases in progress that are shaping and developing legal precedents. As is often the case new technologies require new statues and regulations—something the law is often slow to move on given the current speed in which technology advances. Key Features: Provides a strong foundation of cybercrime knowledge along with the core concepts of networking computer security Internet of Things (IoTs) and mobile devices. Addresses legal statutes and precedents fundamental to understanding investigative and forensic issues relative to evidence collection and preservation. Identifies the new security challenges of emerging technologies including mobile devices cloud computing Software-as-a-Service (SaaS) VMware and the Internet of Things. Strengthens student understanding of the fundamentals of computer and network security concepts that are often glossed over in many textbooks and includes the study of cybercrime as critical forward-looking cybersecurity challenges. Cybercrime and Information Technology is a welcome addition to the literature particularly for those professors seeking a more hands-on forward-looking approach to technology and trends. Coverage is applicable to all forensic science courses in computer science and forensic programs particularly those housed in criminal justice departments emphasizing digital evidence and investigation processes. The textbook is appropriate for courses in the Computer Forensics and Criminal Justice curriculum and is relevant to those studying Security Administration Public Administrations Police Studies Business Administration Computer Science and Information Systems. A Test Bank and chapter PowerPoint slides are available to qualified professors for use in classroom instruction. | Cybercrime and Information Technology The Computer Network Infrastructure and Computer Security Cybersecurity Laws Internet of Things (IoT

GBP 62.99
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Statistical Methods in Computer Security

Intelligent Systems and Applications in Computer Vision

Intelligent Systems and Applications in Computer Vision

The book comprehensively covers a wide range of evolutionary computer vision methods and applications feature selection and extraction for training and classification and metaheuristic algorithms in image processing. It further discusses optimized image segmentation its analysis pattern recognition and object detection. Features: Discusses machine learning-based analytics such as GAN networks autoencoders computational imaging and quantum computing Covers deep learning algorithms in computer vision Showcases novel solutions such as multi-resolution analysis in imaging processing and metaheuristic algorithms for tackling challenges associated with image processing Highlight optimization problems such as image segmentation and minimized feature design vector Presents platform and simulation tools for image processing and segmentation The book aims to get the readers familiar with the fundamentals of computational intelligence as well as the recent advancements in related technologies like smart applications of digital images and other enabling technologies from the context of image processing and computer vision. It further covers important topics such as image watermarking steganography morphological processing and optimized image segmentation. It will serve as an ideal reference text for senior undergraduate graduate students and academic researchers in fields including electrical engineering electronics communications engineering and computer engineering. | Intelligent Systems and Applications in Computer Vision

GBP 140.00
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Applied Computer Vision and Soft Computing with Interpretable AI

Cyclic and Computer Generated Designs

Performance Analysis of Queuing and Computer Networks

Computer Graphics Through OpenGL From Theory to Experiments

Computer Graphics Through OpenGL From Theory to Experiments

COMPREHENSIVE COVERAGE OF SHADERS THE PROGRAMMABLE PIPELINE AND WEBGL From geometric primitives to animation to 3D modeling to lighting shading and texturing Computer Graphics Through OpenGL®: From Theory to Experiments is a comprehensive introduction to computer graphics which uses an active learning style to teach key concepts. Equally emphasizing theory and practice the book provides an understanding not only of the principles of 3D computer graphics but also the use of the OpenGL® Application Programming Interface (API) to code 3D scenes and animation including games and movies. The undergraduate core of the book takes the student from zero knowledge of computer graphics to a mastery of the fundamental concepts with the ability to code applications using fourth-generation OpenGL® as well as using WebGL® in order to publish to the web. The remaining chapters explore more advanced topics including the structure of curves and surfaces applications of projective spaces and transformations and the implementation of graphics pipelines. This book can be used for introductory undergraduate computer graphics courses over one to two semesters. The careful exposition style attempting to explain each concept in the simplest terms possible should appeal to the self-study student as well. Features Covers the foundations of 3D computer graphics including animation visual techniques and 3D modeling Comprehensive coverage of OpenGL® 4. x including the GLSL and vertex fragment tessellation and geometry shaders Comprehensive coverage of WebGL® 2. 0. Includes 440 programs and experiments Contains 700 exercises 100 worked examples and 650 four-color illustrations Requires no previous knowledge of computer graphics Balances theory with programming practice using a hands-on interactive approach to explain the underlying concepts | Computer Graphics Through OpenGL® From Theory to Experiments

GBP 110.00
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