-Titulo Original : Distributed Algorithms (The Morgan Kaufmann Series In Data Management Systems)-Fabricante : Morgan Kaufmann-Descripcion Original: In Distributed Algorithms, Nancy Lynch provides a blueprint for designing, implementing, and analyzing distributed algorithms. She directs her book at a wide audience, including students, programmers, system designers, and researchers. Distributed Algorithms contains the most significant algorithms and impossibility results in the area, all in a simple automata-theoretic setting. The algorithms are proved correct, and their complexity is analyzed according to precisely defined complexity measures. The problems covered include resource allocation, communication, consensus among distributed processes, data consistency, deadlock detection, leader election, global snapshots, and many others. The material is organized according to the system model first by the timing model and then by the interprocess communication mechanism. The material on system models is isolated in separate chapters for easy reference. The presentation is completely rigorous, yet is intuitive enough for immediate comprehension. This book familiarizes readers with important problems, algorithms, and impossibility results in the area: readers can then recognize the problems when they arise in practice, apply the algorithms to solve them, and use the impossibility results to determine whether problems are unsolvable. The book also provides readers with the basic mathematical tools for designing new algorithms and proving new impossibility results. In addition, it teaches readers how to reason carefully about distributed algorithms to model them formally, devise precise specifications for their required behavior, prove their correctness, and evaluate their performance with realistic measures. Review Shows students, programmers, system designers and researchers how to design, implement, and analyze distributed algorithms. Familiarizes readers with the most important problems, algorithms, and impossibility results in the area. Provides the basic mathematical tools for designing new algorithms and proving new impossibility results. Teaches how to reason carefully about distributed algorithms--to model them formally, devise precise specifications for their required behavior, prove their correctness, and evaluate their performance with realistic measures. Features: * The most significant algorithms and impossibility results in the area, all in a simple automata-theoretic setting. * The algorithms are proved correct, and their complexity analyzed according to precisely-defined complexity measures. * The problems covered include resource allocation, communication, consensus among distributed processors, data consistency, deadlock detection, leader election, global snapshots, and many others. The material is organized according to the system model -- first, according to the timing model, and then, by the interprocess communication mechanism. The material on system models is isolated into separate chapters for easy reference. -- Book DescriptionThis is the finest texbook it has been my pleasure to review, and I strongly recommend it to both the specialist and the merely interested reader. The real contribution comes from the presentation of so many algorithms in a common and usable style. It does for distributed algorithms what Knuth Volume I did for sequential ones. -- Julian Padget (Mathematical Reviews, January 1997) From the Back Cover In Distributed Algorithms, Nancy Lynch provides a blueprint for designing, implementing, and analyzing distributed algorithms. She directs her book at a wide audience, including students, programmers, system designers and researchers. Distributed Algorithms contains the most significant algorithms and impossibility results in the area, all in a simple automata-theoretic setting. The algorithms are proved correct, and their complexity is analyzed according to precisely defined complexity measures. The problems covered include resource allocation, communication, consensus among ...

-Titulo Original : Transaction Processing: Concepts And Techniques (The Morgan Kaufmann Series In Data Management Systems)-Fabricante : Morgan Kaufmann-Descripcion Original: The key to client/server computing. Transaction processing techniques are deeply ingrained in the fields ofdatabases and operating systems and are used to monitor, control and updateinformation in modern computer systems. This book will show you how large,distributed, heterogeneous computer systems can be made to work reliably.Using transactions as a unifying conceptual framework, the authors show howto build high performance distributed systems and high availabilityapplications with finite budgets and risk. The authors provide detailed explanations of why various problems occur aswell as practical, usable techniques for their solution. Throughout the book,examples and techniques are drawn from the most successful commercial andresearch systems. Extensive use of compilable C code fragments demonstratesthe many transaction processing algorithms presented in the book. The bookwill be valuable to anyone interested in implementing distributed systemsor client/server architectures. Review This is the one book you ought to have if you want to expand your knowledge of online transaction processing (OLTP) and learn how to apply it to the real world. Transaction Processing completely covers the problems faced by OLTP systems and discusses fault tolerance and recovery--the ability of a system to withstand failures of various kinds without dropping the ball. Additionally, Gray and Reuter cover system architecture decisions, monitoring, concurrence (including locks and isolation), scheduling (including deadlock resolution), and file systems. The book concludes with a discussion (circa 1993) of the merits of various hardware and software used in OLTP systems. Although there is no companion CD-ROM with Transaction Processing, the authors do illustrate many of the books concepts with C source code. As this is a college textbook, you can expect some dry prose and academic approaches to certain problems. Nonetheless, the authors writing is clear and easy to follow. From the Back Cover The key to client/server computing. Transaction processing techniques are deeply ingrained in the fields ofdatabases and operating systems and are used to monitor, control and updateinformation in modern computer systems. This book will show you how large,distributed, heterogeneous computer systems can be made to work reliably.Using transactions as a unifying conceptual framework, the authors show howto build high-performance distributed systems and high-availabilityapplications with finite budgets and risk. The authors provide detailed explanations of why various problems occur aswell as practical, usable techniques for their solution. Throughout the book,examples and techniques are drawn from the most successful commercial andresearch systems. Extensive use of compilable C code fragments demonstratesthe many transaction processing algorithms presented in the book. The bookwill be valuable to anyone interested in implementing distributed systemsor client/server architectures.| The key to client/server computing.Transaction processing techniques are deeply ingrained in the fields ofdatabases and operating systems and are used to monitor, control and updateinformation in modern computer systems. This book will show you how large,distributed, heterogeneous computer systems can be made to work reliably.Using transactions as a unifying conceptual framework, the authors show howto build high-performance distributed systems and high-availabilityapplications with finite budgets and risk. The authors provide detailed explanations of why various problems occur aswell as practical, usable techniques for their solution. Throughout the book,examples and techniques are drawn from the most successful commercial andresearch systems. Extensive use of compilable C code fragments demonstratesthe many transaction processing algorithms presented in the book. The bookwill be valuable to anyone interested in impleme...

-Titulo Original : Computer Organization And Design RISC-V Edition: The Hardware Software Interface (The Morgan Kaufmann Series In Computer Architecture And Design)-Fabricante : Morgan Kaufmann-Descripcion Original: Computer Organization and Design RISC-V Edition: The Hardware Software Interface, Second Edition, the award-winning textbook from Patterson and Hennessy that is used by more than 40,000 students per year, continues to present the most comprehensive and readable introduction to this core computer science topic. This version of the book features the RISC-V open source instruction set architecture, the first open source architecture designed for use in modern computing environments such as cloud computing, mobile devices, and other embedded systems. Readers will enjoy an online companion website that provides advanced content for further study, appendices, glossary, references, links to software tools, and more. Review Presents the RISC-V open source instruction set architecture, the first open source architecture designed for use in modern computing environments About the Author David Patterson is the Pardee Professor of Computer Science, Emeritus at the University of California at Berkeley, which he joined after graduating from UCLA in 1977.His teaching has been honored by the Distinguished Teaching Award from the University of California, the Karlstrom Award from ACM, and the Mulligan Education Medal and Undergraduate Teaching Award from IEEE. Prof. Patterson received the IEEE Technical Achievement Award and the ACM Eckert-Mauchly Award for contributions to RISC, and he shared the IEEE Johnson Information Storage Award for contributions to RAID. He also shared the IEEE John von Neumann Medal and the C & C Prize with John Hennessy. Like his co-author, Prof. Patterson is a Fellow of the American Academy of Arts and Sciences, the Computer History Museum, ACM, and IEEE, and he was elected to the National Academy of Engineering, the National Academy of Sciences, and the Silicon Valley Engineering Hall of Fame. He served on the Information Technology Advisory Committee to the U.S. President, as chair of the CS division in the Berkeley EECS department, as chair of the Computing Research Association, and as President of ACM. This record led to Distinguished Service Awards from ACM, CRA, and SIGARCH. ACM named John L. Hennessy a recipient of the 2017 ACM A.M. Turing Award for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry. John L. Hennessy is a Professor of Electrical Engineering and Computer Science at Stanford University, where he has been a member of the faculty since 1977 and was, from 2000 to 2016, its tenth President. Prof. Hennessy is a Fellow of the IEEE and ACM; a member of the National Academy of Engineering, the National Academy of Science, and the American Philosophical Society; and a Fellow of the American Academy of Arts and Sciences. Among his many awards are the 2001 Eckert-Mauchly Award for his contributions to RISC technology, the 2001 Seymour Cray Computer Engineering Award, and the 2000 John von Neumann Award, which he shared with David Patterson. He has also received seven honorary doctorates...

-Titulo Original : Designing With The Mind In Mind: Simple Guide To Understanding User Interface Design Guidelines-Fabricante : Morgan Kaufmann-Descripcion Original: User interface (UI) design rules and guidelines, developed by early HCI gurus and recognized throughout the field, were based on cognitive psychology (study of mental processes such as problem solving, memory, and language), and early practitioners were well informed of its tenets. But today practitioners with backgrounds in cognitive psychology are a minority, as user interface designers and developers enter the field from a wide array of disciplines. HCI practitioners today have enough experience in UI design that they have been exposed to UI design rules, but it is essential that they understand the psychological basis behind the rules in order to effectively apply them. In Designing with the Mind in Mind, best-selling author Jeff Johnson provides designers with just enough background in perceptual and cognitive psychology that UI design guidelines make intuitive sense rather than being just a list of rules to follow. Review Making sense of the psychology behind design rules, so your designs make sense About the Author Jeff Johnson is an Assistant Professor of Computer Science at the University of San Francisco. He is also a principal at Wiser Usability, a consultancy focused on elder usability. After earning B.A. and Ph.D. degrees from Yale and Stanford, he worked as a UI designer, implementer, manager, usability tester, and researcher at Cromemco, Xerox, US West, Hewlett-Packard, and Sun. He has taught at Stanford, Mills, and the University of Canterbury. He is a member of the ACM SIGCHI Academy and a recipient of SIGCHIs Lifetime Achievement in Practice Award. He has authored articles on a variety of topics in HCI, as well as the books GUI Bloopers (1st and 2nd eds.), Web Bloopers, Designing with the Mind in Mind (1st and 2nd eds.), Conceptual Models: Core to Good Design (with Austin Henderson), and Designing User Interfaces for an Aging Population (with Kate Finn)...

-Titulo Original : Usability Testing Essentials Ready, Set ...test! Ready, Set...test!-Fabricante : Morgan Kaufmann-Descripcion Original: Usability Testing Essentials presents a practical, step-by-step approach to learning the entire process of planning and conducting a usability test. It explains how to analyze and apply the results and what to do when confronted with budgetary and time restrictions. This is the ideal book for anyone involved in usability or user-centered design from students to seasoned professionals. Filled with new examples and case studies, Usability Testing Essentials, 2nd Edition is completely updated to reflect the latest approaches, tools and techniques needed to begin usability testing or to advance in this area. Review Readers will find in this book a complete workflow for becoming competent usability researchers. Though the book doesn’t cover every possible nuance of usability testing no one volume could accomplish that Usability Testing Essentials is perhaps one of the most complete books on usability testing available. More importantly, it is written where even a complete novice can understand, but it also contains a wealth of wisdom that seasoned professionals will find useful as a reference guide to the most difficult art and science that is usability testing. --Technical Communication Review Provides readers with the tools and techniques needed to begin usability testing and advance their knowledge in this area From the Back Cover Usability Testing Essentials, Second Edition provides readers with the tools and techniques needed to begin usability testing or to advance their knowledge in this area. The book begins by presenting the essentials of usability testing, which include focusing on the user and not the product; knowing when to conduct small or large studies; and thinking of usability as hill climbing. It then reviews testing options and places usability testing into the context of a user-centered design (UCD). It goes on to discuss the planning, preparation, and implementation of a usability test. The remaining chapters cover the analysis and reporting of usability test findings, and the unique aspects of international usability testing. This updated edition, filled with new examples and case studies, is suitable for both students, and anyone involved in the development or support of any type of product, such as software or web developers, engineers, interaction designers, information architects, technical communicators, visual or graphic designers, trainers, user-assistance specialists, and instructional technologists. About the Author Carol M. Barnum, PhD, became a usability advocate in the early 1990s. It happened when she heard the word “usability at a Society for Technical Communication conference. Technical communicators have always seen themselves as the user’s advocate, but here was an emerging discipline that championed the cause of the user! It was love at first sight. In 1993, Carol attended the second Usability Professionals Association Conference, where she was thrilled to mix and mingle with several hundred usability folks on Microsoft’s corporate campus. Those two conferences sparked a desire to combine her love of teaching students how to be clear communicators with a new-found passion for helping companies understand how to promote good communication between their product and their users. In 1994, Carol opened her first usability lab in a windowless basement location at Kennesaw State University (formerly Southern Polytechnic State University). Throughout her teaching career, she built several more labs, developed a course in usability testing, developed a graduate program in Information Design and Communication, and worked with numerous clients to help them unlock the users’ experience with software, hardware, documentation and training products, mobile devices, web applications, websites, apps, and more. Not one to retire, she left her teaching career in 2013 at the rank of Professor Emeritus to...

-Titulo Original : Information Visualization: Perception For Design (Interactive Technologies)-Fabricante : Morgan Kaufmann-Descripcion Original: Information Visualization: Perception for Design, Fourth Edition explores the art and science of why we see objects the way we do. Based on the science of perception and vision, the author presents the key principles at work for a wide range of applications--resulting in visualization of improved clarity, utility and persuasiveness. This new edition has been revised and updated to include the latest relevant research findings. Content has been updated in areas such as the cognitive neuroscience of maps and navigation, the neuroscience of pattern perception, and the hierarchy of learned patterns. New changes to the book make it easier to apply perceptual lessons to design decisions. In addition, the book offers practical guidelines that can be applied by anyone, including interaction designers and graphic designers of all kinds. Review The classic text/reference in data and information visualization, updated with the latest research and new content on designing for perception About the Author Colin Ware is the world’s leading authority on the perceptual principles underlying the effective design of information displays. He combines interests in both basic and applied visualization research and he has advanced degrees in both computer science (MMath, Waterloo) and in the psychology of perception (PhD,Toronto). He has published over 160 articles in scientific and technical journals and at leading conferences. Many of these articles relate to the use of color, texture, motion and 3D displays in information visualization. His approach is always to combine theory with practice and his publications range from rigorously scientific contributions to the Journal of Physiology and Vision Research to applications oriented articles in ACM Transactions on Graphics and ACM Transactions on Computer-Human Interaction. Fledermaus, the leading visualization software used in oceanography, originated in software developed by him and his graduate students...

-Titulo Original : Hardware Security A Hands-on Learning Approach-Fabricante : Morgan Kaufmann-Descripcion Original: Hardware Security: A Hands-On Learning Approach provides a broad, comprehensive and practical overview of hardware security that encompasses all levels of the electronic hardware infrastructure. It covers basic concepts like advanced attack techniques and countermeasures that are illustrated through theory, case studies and well-designed, hands-on laboratory exercises for each key concept. The book is ideal as a textbook for upper-level undergraduate students studying computer engineering, computer science, electrical engineering, and biomedical engineering, but is also a handy reference for graduate students, researchers and industry professionals. For academic courses, the book contains a robust suite of teaching ancillaries. Users will be able to access schematic, layout and design files for a printed circuit board for hardware hacking (i.e. the HaHa board) that can be used by instructors to fabricate boards, a suite of videos that demonstrate different hardware vulnerabilities, hardware attacks and countermeasures, and a detailed description and user manual for companion materials. Review Thorough training guide on hardware security issues and solutions relating to all forms of electronic hardware, including chips, PCBs and systems About the Author Swarup Bhunia is a professor in the department of Electrical and Computer Engineering at the University of Florida. He has more than ten years of research and development experience with over 200 publications in peer-reviewed journals and premier conferences. His research interests include hardware security and trust, adaptive nanocomputing and novel test methodologies. Dr. Bhunia received the IBM Faculty Award (2013), National Science Foundation career development award (2011), Semiconductor Research Corporation Inventor Recognition Award (2009), and SRC technical excellence award (2005), and several best paper awards/nominations. He has been serving as an associate editor of IEEE Transactions on CAD, IEEE Transactions on Multi-Scale Computing Systems, ACM Journal of Emerging Technologies, and Journal of Low Power Electronics; served as guest editor of IEEE Design & Test of Computers (2010, 2013) and IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2014). He is a senior member of IEEE. Mark Tehranipoor is the Intel Charles E. Young Professor in Cybersecurity at the Department of Electrical and Computer Engineering (ECE), University of Florida. Prof. Tehranipoor has published over 300 journal articles and refereed conference papers and has given more than 150 invited talks and keynote addresses since 2006. In addition, he has published six books and ten book chapters. His projects are sponsored by both industry (Semiconductor Research Corporation (SRC), Texas Instruments, Freescale Comcast, Honeywell, LSI, Mentor Graphics, Juniper, R3Logic, Cisco, Qualcomm, MediaTeck, etc.) and the US Government (NSF, ARO, MDA, DOD, AFOSR, DOE, etc.). Prior to joining the University of Florida, Dr. Tehranipoor served as the founding director of the Center for Hardware Assurance, Security, and Engineering (CHASE) and the Comcast Center of Excellence in Security Innovation (CSI) at the University of Connecticut. Prof. Tehranipoor is a Senior Member of the IEEE, Golden Core Member of IEEE Computer Society, and Member of ACM and ACM SIGDA. He is also a member of Connecticut Academy of Science and Engineering (CASE)...

-Titulo Original : Programming Massively Parallel Processors A Hands-on Approach-Fabricante : Morgan Kaufmann-Descripcion Original: Programming Massively Parallel Processors: A Hands-on Approach, Third Edition shows both student and professional alike the basic concepts of parallel programming and GPU architecture, exploring, in detail, various techniques for constructing parallel programs. Case studies demonstrate the development process, detailing computational thinking and ending with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in-depth. For this new edition, the authors have updated their coverage of CUDA, including coverage of newer libraries, such as CuDNN, moved content that has become less important to appendices, added two new chapters on parallel patterns, and updated case studies to reflect current industry practices. Review Learn how to program massively parallel processors with this best-selling guide to CUDA and GPU parallel programming About the Author David B. Kirk is well recognized for his contributions to graphics hardware and algorithm research. By the time he began his studies at Caltech, he had already earned B.S. and M.S. degrees in mechanical engineering from MIT and worked as an engineer for Raster Technologies and Hewlett-Packards Apollo Systems Division, and after receiving his doctorate, he joined Crystal Dynamics, a video-game manufacturing company, as chief scientist and head of technology. In 1997, he took the position of Chief Scientist at NVIDIA, a leader in visual computing technologies, and he is currently an NVIDIA Fellow. At NVIDIA, Kirk led graphics-technology development for some of todays most popular consumer-entertainment platforms, playing a key role in providing mass-market graphics capabilities previously available only on workstations costing hundreds of thousands of dollars. For his role in bringing high-performance graphics to personal computers, Kirk received the 2002 Computer Graphics Achievement Award from the Association for Computing Machinery and the Special Interest Group on Graphics and Interactive Technology (ACM SIGGRAPH) and, in 2006, was elected to the National Academy of Engineering, one of the highest professional distinctions for engineers. Kirk holds 50 patents and patent applications relating to graphics design and has published more than 50 articles on graphics technology, won several best-paper awards, and edited the book Graphics Gems III. A technological evangelist who cares deeply about education, he has supported new curriculum initiatives at Caltech and has been a frequent university lecturer and conference keynote speaker worldwide.Wen-mei W. Hwu is a Professor and holds the Sanders-AMD Endowed Chair in the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign. His research interests are in the area of architecture, implementation, compilation, and algorithms for parallel computing. He is the chief scientist of Parallel Computing Institute and director of the IMPACT research group ( impact.crhc.illinois.edu). He is a co-founder and CTO of MulticoreWare. For his contributions in research and teaching, he received the ACM SigArch Maurice Wilkes Award, the ACM Grace Murray Hopper Award, the Tau Beta Pi Daniel C. Drucker Eminent Faculty Award, the ISCA Influential Paper Award, the IEEE Computer Society B. R. Rau Award and the Distinguished Alumni Award in Computer Science of the University of California, Berkeley. He is a fellow of IEEE and ACM. He directs the UIUC CUDA Center of Excellence and serves as one of the principal investigators of the NSF Blue Waters Petascale computer project. Dr. Hwu received his Ph.D. degree in Computer Science from the University of California, Berkeley...

-Titulo Original : Computer Architecture A Quantitative Approach (the Morgan Kaufmann Series In Computer Architecture And Design)-Fabricante : Morgan Kaufmann-Descripcion Original: Computer Architecture: A Quantitative Approach, Sixth Edition has been considered essential reading by instructors, students and practitioners of computer design for over 20 years. The sixth edition of this classic textbook from Hennessy and Patterson, winners of the 2017 ACM A.M. Turing Award recognizing contributions of lasting and major technical importance to the computing field, is fully revised with the latest developments in processor and system architecture. The text now features examples from the RISC V (RISC Five) instruction set architecture, a modern RISC instruction set developed and designed to be a free and openly adoptable standard. It also includes a new chapter on domain specific architectures and an updated chapter on warehouse scale computing that features the first public information on Googles newest WSC. True to its original mission of demystifying computer architecture, this edition continues the longstanding tradition of focusing on areas where the most exciting computing innovation is happening, while always keeping an emphasis on good engineering design. Winner of a 2019 Textbook Excellence Award (Texty) from the Textbook and Academic Authors Association Includes a new chapter on domain specific architectures, explaining how they are the only path forward for improved performance and energy efficiency given the end of Moore’s Law and Dennard scaling Features the first publication of several DSAs from industry Features extensive updates to the chapter on warehouse scale computing, with the first public information on the newest Google WSC Offers updates to other chapters including new material dealing with the use of stacked DRAM; data on the performance of new NVIDIA Pascal GPU vs. new AVX 512 Intel Skylake CPU; and extensive additions to content covering multicore architecture and organization Includes Putting It All Together sections near the end of every chapter, providing real world technology examples that demonstrate the principles covered in each chapter Includes review appendices in the printed text and additional reference appendices available online Includes updated and improved case studies and exercises ACM named John L. Hennessy and David A. Patterson, recipients of the 2017 ACM A.M. Turing Award for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry. Review What has made this book an enduring classic is that each edition is not an update, but an extensive revision that presents the most current information and unparalleled insight into this fascinating and fast changing field. For me, after over twenty years in this profession, it is also another opportunity to experience that student-grade admiration for two remarkable teachers. --From the Foreword by Luiz Andre Barroso, Google, Inc. Review Features the RISC-V (RISC Five) instruction set architecture, a modern RISC instruction set developed and designed to be a free and openly adoptable standard About the Author ACM named John L. Hennessy a recipient of the 2017 ACM A.M. Turing Award for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry. John L. Hennessy is a Professor of Electrical Engineering and Computer Science at Stanford University, where he has been a member of the faculty since 1977 and was, from 2000 to 2016, its tenth President. Prof. Hennessy is a Fellow of the IEEE and ACM; a member of the National Academy of Engineering, the National Academy of Science, and the American Philosophical Society; and a Fellow of the American Academy of Arts and Sciences. Among his many awards are the 2001 Eckert-Mauchly Award for his contributions to RISC technology, the 2001 Seymour Cray Computer Engineering Award, and the 2000 John von Neumann Award, which he sha...

-Titulo Original : Research Methods In Human-computer Interaction-Fabricante : Morgan Kaufmann-Descripcion Original: Research Methods in Human-Computer Interaction is a comprehensive guide to performing research and is essential reading for both quantitative and qualitative methods. Since the first edition was published in 2009, the book has been adopted for use at leading universities around the world, including Harvard University, Carnegie-Mellon University, the University of Washington, the University of Toronto, HiOA (Norway), KTH (Sweden), Tel Aviv University (Israel), and many others. Chapters cover a broad range of topics relevant to the collection and analysis of HCI data, going beyond experimental design and surveys, to cover ethnography, diaries, physiological measurements, case studies, crowdsourcing, and other essential elements in the well-informed HCI researchers toolkit. Continual technological evolution has led to an explosion of new techniques and a need for this updated 2nd edition, to reflect the most recent research in the field and newer trends in research methodology. This Research Methods in HCI revision contains updates throughout, including more detail on statistical tests, coding qualitative data, and data collection via mobile devices and sensors. Other new material covers performing research with children, older adults, and people with cognitive impairments. Review This book is an outstanding contribution to HCI’s pedagogical and reference literature, reviewing and explaining the numerous research methods in common use. It motivates with numerous examples the methods in terms of posing questions and designing research to answer those questions. It covers well both quantitative and qualitative methods. The treatment is accessible and lively. The book should be considered for adoption by all HCI instructors. --Ron Baecker, Member of the CHI Academy, Founder and Co-Director, Technologies for Aging Gracefully lab (TAGlab), and Emeritus Professor of Computer Science, University of Toronto This is the research methods book I recommend to my students and colleagues. And its a time-saver: my students make fewer methodological mistakes and we can now engage in deeper and more insightful discussions about specific challenges of their research work. With this improved and updated edition, the bar is even higher! With increasing traces of our lives online and availability of Big Data in many research projects, the new chapter on online and ubiquitous HCI research was a welcome addition to the already comprehensive, multi-method research book. Every HCI student, researcher, and practitioner must read it! --Simone Barbosa, Professor, PUC-Rio, Brazil, and co-Editor-in-Chief of ACM Interactions Research Methods in HCI is an excellent resource for newcomers and seasoned HCI professionals alike. Covering all the basic methods for conducting research in HCI, concepts are explained clearly and brought alive through case studies and examples. In addition to offering how-to details, the text offers detailed rationale for why and when to use different methods. Some historical context and controversial viewpoints are also offered. Clear discussions around how to select participants and work with different populations are offered, as are ethical issues in conducting research. The attention to these kinds of details makes this a truly engaging, readable text. The extensive list of references offers plenty of scope for follow-up for those wishing to deepen their knowledge even further. The 2nd edition offers new and refreshed content, updated examples and case studies, and new references and resources. --Elizabeth Churchill, Member of the CHI Academy, Secretary/Treasurer of ACM, currently Director of User Experience at Google, formerly Director of Human Computer Interaction at eBay This book by Lazar, Feng, and Hochheiser is a must read for anyone in the field of Human-Computer Interaction. Their multi-discipline approach, housed in the reality of the technological world today, makes for a...

-Titulo Original : Oceb 2 Certification Guide Business Process Management - Fundamental Level-Fabricante : Morgan Kaufmann-Descripcion Original: OCEB 2 Certification Guide, Second Edition has been updated to cover the new version 2 of the BPMN standard and delivers expert insight into BPM from one of the developers of the OCEB Fundamental exam, offering full coverage of the fundamental exam material for both the business and technical tracks to further certification. The first study guide prepares candidates to take and pass the OCEB Fundamental exam, explaining and building on basic concepts, focusing on key areas, and testing knowledge of all critical topics with sample questions and detailed answers. Suitable for practitioners, and those newer to the field, this book provides a solid grounding in business process management based on the authors’ own extensive BPM consulting experiences. Review Covers version 2 of the BPMN standard, delivering insights from a developer of the OCEB Fundamental exam for both business and technical tracks About the Author Tim Weilkiens is a Managin Director of oose Innovative Informatik GmbH. He is the author of numerous books and other publications and content development of the OCEB certification program. Christian Weiss is Managing Consultant at Holisticon AG and engages himself as a consultant and coach in business process management, agile project management, and Internet of Things. He particularly focuses on supporting large enterprises in implementing fast, automated business processes and agile practices. Andrea Grass is a member of oose Innovative Informatik eG. For many years, she has supported enterprises in deploying agile project management. In addition to that, she holds trainings and coachings on business process management and enterprise architectures. member of the executive board, consultant and trainer at oose Innovative Informatik eG, German...

-Titulo Original : The Ux Book Agile Ux Design For A Quality User Experience-Fabricante : Morgan Kaufmann-Descripcion Original: The discipline of user experience (UX) design has matured into a confident practice and this edition reflects, and in some areas accelerates, that evolution. Technically this is the second edition of The UX Book, but so much of it is new, it is more like a sequel. One of the major positive trends in UX is the continued emphasis on design a kind of design that highlights the designer’s creative skills and insights and embodies a synthesis of technology with usability, usefulness, aesthetics, and meaningfulness to the user. In this edition a new conceptual top-down design framework is introduced to help readers with this evolution. This entire edition is oriented toward an agile UX lifecycle process, explained in the funnel model of agile UX, as a better match to the now de facto standard agile approach to software engineering. To reflect these trends, even the subtitle of the book is changed to “Agile UX design for a quality user experience . Designed as a how-to-do-it handbook and field guide for UX professionals and a textbook for aspiring students, the book is accompanied by in-class exercises and team projects. The approach is practical rather than formal or theoretical. The primary goal is still to imbue an understanding of what a good user experience is and how to achieve it. To better serve this, processes, methods, and techniques are introduced early to establish process-related concepts as context for discussion in later chapters. Review The most comprehensive resource for understanding, assimilating, applying, and practicing UX, now fully revised and updated About the Author Rex Hartson is a pioneer researcher, teacher, and practitioner-consultant in HCI and UX. He is the founding faculty member of HCI (in 1979) in the Department of Computer Science at Virginia Tech. With Deborah Hix, he was co-author of one of the first books to emphasize the usability engineering process, Developing user interfaces: Ensuring usability through product & process. Hartson has been principle investigator or co-PI at Virginia Tech on a large number of research grants and has published many journal articles, conference papers, and book chapters. He has presented many tutorials, invited lectures, workshops, seminars, and international talks. He was editor or co-editor for Advances in Human-Computer Interaction, Volumes 1-4, Ablex Publishing Co., Norwood, NJ. His HCI practice is grounded in over 30 years of consulting and user experience engineering training for dozens of clients in business, industry, government, and the military. Pardha Pyla is an award-winning designer and product strategist with deep expertise in envisioning and delivering industry-leading products. He is the founding member of multiple thriving product and design (UX) practices that were responsible for producing successful enterprise software solutions in use across many industries. He is a pioneering researcher in the area of coordinating software engineering and UX lifecycle processes and the author of several peer-reviewed research publications in human-computer interaction and software engineering. He has received numerous awards in recognition of his work in design thinking, research, teaching, leadership, and service...

-Titulo Original : An Introduction To Parallel Programming-Fabricante : Morgan Kaufmann-Descripcion Original: An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP. As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs. Review Leading undergraduate text in parallel programming, covering OpenMP, MPI and Pthreads, three of the most widely used parallel programming environments From the Back Cover An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP. As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs. About the Author Peter Pacheco received a PhD in mathematics from Florida State University. After completing graduate school, he became one of the first professors in UCLA’s “Program in Computing, which teaches basic computer science to students at the College of Letters and Sciences there. Since leaving UCLA, he has been on the faculty of the University of San Francisco. At USF Peter has served as chair of the computer science department and is currently chair of the mathematics department. His research is in parallel scientific computing. He has worked on the development of parallel software for circuit simulation, speech recognition, and the simulation of large networks of biologically accurate neurons. Peter has been teaching parallel computing at both the undergraduate and graduate levels for nearly twenty years. He is the author of Parallel Programming with MPI, published by Morgan Kaufmann Publishers.Matthew Malensek is an Assistant Professor in the Department of Computer Science at the University of San Francisco. His research interests are centered around big data, parallel/distributed systems, and cloud computing. This includes systems approaches for processing and managing data at scale in a variety of domains, including fog computing and Internet of Things (IoT) devices...

-Titulo Original : Relational Database Design And Implementation Clearly Explained-Fabricante : Morgan Kaufmann-Descripcion Original: Relational Database Design and Implementation: Clearly Explained, Fourth Edition, provides the conceptual and practical information necessary to develop a database design and management scheme that ensures data accuracy and user satisfaction while optimizing performance. Database systems underlie the large majority of business information systems. Most of those in use today are based on the relational data model, a way of representing data and data relationships using only two-dimensional tables. This book covers relational database theory as well as providing a solid introduction to SQL, the international standard for the relational database data manipulation language. The book begins by reviewing basic concepts of databases and database design, then turns to creating, populating, and retrieving data using SQL. Topics such as the relational data model, normalization, data entities, and Codds Rules (and why they are important) are covered clearly and concisely. In addition, the book looks at the impact of big data on relational databases and the option of using NoSQL databases for that purpose. Review Covering such topics as the relational data model, normalization, data entities, and Codds Rules and why they are important, this thorough guide reviews the basic concepts of good relational database design, including how to create, populate, and retrieve data using SQL, the standard database query language From the Back Cover Fully revised, updated, and expanded, Relational Database Design and Implementation, Fourth Edition, is the most lucid and effective introduction to relational database design and the database environment available. Here you ll find the conceptual and practical information you need to develop a design that ensures data accuracy and user satisfaction while optimizing performance, regardless of your experience level or choice of DBMS. This edition retains its in-depth coverage of the process of designing a good relational database as well as three major case studies illustrating the planning and design steps involved in arriving at a sound design. For the first time, it also includes coverage of all major capabilities of SQL (creating database structures, querying, and using advanced techniques such as windowing). This edition also contains chapters covering the environment in which databases run, as well as an examination of object-relational and NoSQL databases. Coverage Includes Concepts needed to create effective relational database designs. Theoretical and practical guidelines for normalizing relational databases. The impact of database design on data accuracy and consistency. Examples of how design can inhibit or boost database application performance. Using SQL to implement database structure, manipulate data values, and retrieve data. The overall systems analysis and design process during which database design takes place. Database implementation issues including database security, concurrency control, and integration with XML. Techniques for using CASE tools for database design. The relationship between relational database design and data warehouse design. Enhancements and alternatives to the relational database model such as object-relational databases and NoSQL databases. About the Author Jan L. Harrington, author of more than 35 books on a variety of technical subjects, has been writing about databases since 1984. She retired in 2013 from her position as professor and chair of the Department of Computing Technology at Marist College, where she taught database design and management, data communications, computer architecture, and the impact of technology on society for 25 years...

-Titulo Original : Building A Scalable Data Warehouse With Data Vault 2.0-Fabricante : Morgan Kaufmann-Descripcion Original: The Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from small to large-size corporations. Due to its simplified design, which is adapted from nature, the Data Vault 2.0 standard helps prevent typical data warehousing failures. Building a Scalable Data Warehouse covers everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer. The book discusses how to build the data warehouse incrementally using the agile Data Vault 2.0 methodology. In addition, readers will learn how to create the input layer (the stage layer) and the presentation layer (data mart) of the Data Vault 2.0 architecture including implementation best practices. Drawing upon years of practical experience and using numerous examples and an easy to understand framework, Dan Linstedt and Michael Olschimke discuss: How to load each layer using SQL Server Integration Services (SSIS), including automation of the Data Vault loading processes. Important data warehouse technologies and practices. Data Quality Services (DQS) and Master Data Services (MDS) in the context of the Data Vault architecture. Review This book covers everything users need to create a scalable data warehouse from scratch, including a presentation of the Data Vault modeling technique which provides the foundations to create a technical data warehouse layer, also including tactics on how to create the inner and presentation layer of the data vault 2.0 standard. About the Author Dan Linstedt has more than 25 years of experience in the Data Warehousing and Business Intelligence field and is internationally known for inventing the Data Vault 1.0 model and the Data Vault 2.0 System of Business Intelligence. He helps business and government organizations around the world to achieve BI excellence by applying his proven knowledge in Big Data, unstructured information management, agile methodologies and product development. He has held training classes and presented at TDWI, Teradata Partners, DAMA, Informatica, Oracle user groups and Data Modeling Zone conference. He has a background in SEI/CMMI Level 5, and has contributed architecture efforts to petabyte scale data warehouses and offers high quality on-line training and consulting services for Data Vault. Michael has more than 15 years of experience in IT and has been working on business intelligence topics for the past eight years. He has consulted for a number of clients in the automotive industry, insurance industry and non-profits. In addition, he has consulted for government organizations in Germany on business intelligence topics. Michael is responsible for the Data Vault training program at Dorffler Partner GmbH, a German consulting firm specialized in data warehousing and business intelligence. He is also a lecturer at the University of Applied Sciences and Arts in Hannover, Germany. In addition, he maintains DataVault.guru, a community site on Data Vault topics...

-Titulo Original : Quantifying The User Experience Practical Statistics For User Research-Fabricante : Morgan Kaufmann-Descripcion Original: Quantifying the User Experience: Practical Statistics for User Research, Second Edition, provides practitioners and researchers with the information they need to confidently quantify, qualify, and justify their data. The book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. It addresses questions users face every day, including, Is the current product more usable than our competition? Can we be sure at least 70 percent of users can complete the task on their first attempt? How long will it take users to purchase products on the website? This book provides a foundation for statistical theories and the best practices needed to apply them. The authors draw on decades of statistical literature from human factors, industrial engineering, and psychology, as well as their own published research, providing both concrete solutions (Excel formulas and links to their own web calculators), along with an engaging discussion on the statistical reasons why tests work and how to effectively communicate results. Throughout this new edition, users will find updates on standardized usability questionnaires, a new chapter on general linear modeling (correlation, regression, and analysis of variance), with updated examples and case studies throughout. Completely updated to provide practical guidance on solving usability testing problems with statistics for any project, including those using Six Sigma practices Includes new and revised information on standardized usability questionnaires Includes a completely new chapter introducing correlation, regression, and analysis of variance Shows practitioners which test to use, why they work, and best practices for application, along with easy to use Excel formulas and web calculators for analyzing data Recommends ways for researchers and practitioners to communicate results to stakeholders in plain English Review I will use this second edition as a reference when I need to find the latest thinking about UX measurement and when I teach statistics again it will be my first choice. --From the foreword by Joe Dumas, User Experience Consultant Sauro and Lewis are the acknowledged leaders in the quantitative assessment of usability, and their combined wisdom is ably reflected in the second edition of this book. Serious practitioners of usability science will find this book a valuable addition to the highly qualitative texts that are currently available. --Philip Kortum, Rice University To-Do list for the UX Field to become a true discipline: * Develop a rich collection of user-centered design methods [CHECK]. * Drive understanding of the importance of UX into most design/development teams [CHECK]. * Advocate for and educate about how to implement a serious, empirical, practical approach to gathering and analyzing user data. [Thanks to the career-long work of Sauro and Lewis, culminating in this book, we can now say . . . CHECK.] - Randolph G. Bias, Professor, School of Information, The University of Texas at Austin Review This completely revised and updated book draws on decades of statistics literature from human factors, industrial engineering, psychology, and linear modeling to give usability practitioners the confidence they need to quantify, qualify, and justify their data and bring new approaches to their products and user experiences About the Author Dr. Jeff Sauro is a six-sigma trained statistical analyst and founding principal of MeasuringU, a customer experience research firm based in Denver. For over fifteen years he’s been conducting usability and statistical analysis for companies such as Google, eBay, Walmart, Autodesk, Lenovo and Drobox or working for companies such as Oracle, Intuit and General Electric. Jeff has published over twenty peer-reviewed research articles and five books, including Customer Analytics for Dummies. He publishes a weekly arti...

-Titulo Original : Agile Systems Engineering-Fabricante : Morgan Kaufmann-Descripcion Original: Agile Systems Engineering presents a vision of systems engineering where precise specification of requirements, structure, and behavior meet larger concerns as such as safety, security, reliability, and performance in an agile engineering context. World-renown author and speaker Dr. Bruce Powel Douglass incorporates agile methods and model-based systems engineering (MBSE) to define the properties of entire systems while avoiding errors that can occur when using traditional textual specifications. Dr. Douglass covers the lifecycle of systems development, including requirements, analysis, design, and the handoff to specific engineering disciplines. Throughout, Dr. Douglass couples agile methods with SysML and MBSE to arm system engineers with the conceptual and methodological tools they need to avoid specification defects and improve system quality while simultaneously reducing the effort and cost of systems engineering. Review Couples Agile methods with system concepts to help avoid many common specification defects and improve system quality, while reducing the effort and cost of systems engineering From the Back Cover Agile Systems Engineering presents a vision of systems engineering where precise specification of requirements, structure, and behavior meet larger concerns as such as safety, security, reliability, and performance in an agile engineering context. World-renown author and speaker Dr. Bruce Powel Douglass incorporates agile methods and model-based systems engineering (MBSE) to define the properties of entire systems while avoiding errors that can occur when using traditional textual specifications. Dr. Douglass covers the lifecycle of systems development, including requirements, analysis, design, and the handoff to specific engineering disciplines. Throughout, Dr. Douglass couples agile methods with SysML and MBSE to arm system engineers with the conceptual and methodological tools they need to avoid specification defects and improve system quality while simultaneously reducing the effort and cost of systems engineering. Key Features: Identifies how the concepts and techniques of agile methods can be effectively applied in systems engineering context Shows how to perform model-based functional analysis and tie these analyses back to system requirements and stakeholder needs, and forward to system architecture and interface definition Provides a means by which the quality and correctness of systems engineering data can be assured (before the entire system is built!) Explains agile system architectural specification and allocation of functionality to system components Details how to transition engineering specification data to downstream engineers with no loss of fidelity Includes detailed examples from across industries taken through their stages, including the Waldo industrial exoskeleton as a complex system About the Author Embedded Software Methodologist. Triathlete. Systems engineer. Contributor to UML and SysML specifications. Writer. Black Belt. Neuroscientist. Classical guitarist. High school dropout. Bruce Powel Douglass, who has a doctorate in neurocybernetics from the USD Medical School, has over 35 years of experience developing safety-critical real-time applications in a variety of hard real-time environments. He is the author of over 5700 book pages from a number of technical books including Real-Time UML, Real-Time UML Workshop for Embedded Systems, Real-Time Design Patterns, Doing Hard Time, Real-Time Agility, and Design Patterns for Embedded Systems in C. He is the Chief Evangelist at IBM Rational, where he is a thought leader in the systems space and consulting with and mentors IBM customers all over the world. He can be followed on Twitter @BruceDouglass. Papers and presentations are available at his Real-Time UML technical group ( ://tech.groups.yahoo /group/RT-UML) and from his IBM thought leader page (www...

-Titulo Original : Predictive Analytics And Data Mining: Concepts And Practice With RapidMiner-Fabricante : Morgan Kaufmann-Descripcion Original: Put Predictive Analytics into Action Learn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Mining has become an essential tool for any enterprise that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, business intelligence and data warehousing professionals and for anyone who wants to learn Data Mining. You’ll be able to: 1. Gain the necessary knowledge of different data mining techniques, so that you can select the right technique for a given data problem and create a general purpose analytics process. 2. Get up and running fast with more than two dozen commonly used powerful algorithms for predictive analytics using practical use cases. 3. Implement a simple step-by-step process for predicting an outcome or discovering hidden relationships from the data using RapidMiner, an open source GUI based data mining tool Predictive analytics and Data Mining techniques covered: Exploratory Data Analysis, Visualization, Decision trees, Rule induction, k-Nearest Neighbors, Naive Bayesian, Artificial Neural Networks, Support Vector machines, Ensemble models, Bagging, Boosting, Random Forests, Linear regression, Logistic regression, Association analysis using Apriori and FP Growth, K-Means clustering, Density based clustering, Self Organizing Maps, Text Mining, Time series forecasting, Anomaly detection and Feature selection. Implementation files can be downloaded from the book companion site at LearnPredictiveAnalytics Review ...an excellent introductory data science textbook to expose students to the essential concepts in predictive analytics. For the seasoned professional, it can serve as a handy reference book to choose the best predictive analytics tool for a given data set. --Computing Reviews ... ideal for business users, data analysts, business analysts, business intelligence and data warehousing professionals and for anyone who wants to learn Data Mining. --AnalyticBridge , 2015 If learning-by-doing is your mantra -- as well it should be for predictive analytics -- this book will jumpstart your practice. Covering a broad, foundational collection of techniques, authors Kotu and Deshpande deliver crystal-clear explanations of the analytical methods that empower organizations to learn from data. After each concept, screenshots make the how to immediately concrete, revealing the steps needed to set things up and go; youre guided through real hands-on execution. --Eric Siegel, Ph.D., founder of Predictive Analytics World and author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die The analytics that turns Big Data into actionable intelligence is no longer the exclusive realm of data scientists - it is impacting nearly every business function. Business intelligence is a significant competitive advantage, if applied properly. Gaining that advantage requires that business decision makers and data analyst have a good understanding of the available analytics tools and how to apply them. Predictive Analytics and Data Mining book provides an easy to understand framework of predictive analytics and data mining concepts. The framework is reinforced with examples and sample datasets that demonstrate how to apply the new tools to real-world problems. I highly recommend this book to anyone who wants a better understanding of how to make analytics a game changer for your organization--David Dowhan, President, TruSignal Predictive analytics and insights has become the most critical skill-set in decision making and running the moder...