These authoritative authors continue to define the MIS course by integrating coverage of essential new technologies, their applications, and their impact on managerial decisions.

    Designers of digital technology products no longer regard their job as designing a physical object--beautiful or utilitarian--but as designing our interactions with it. In Designing Interactions, award-winning designer Bill Moggridge introduces us to forty influential designers who have shaped our interaction with technology. Moggridge, designer of the first laptop computer (the GRiD Compass, 1981) and a founder of the design firm IDEO, tells us these stories from an industry insider's viewpoint, tracing the evolution of ideas from inspiration to outcome. The innovators he interviews--including Will Wright, creator of The Sims, Larry Page and Sergey Brin, the founders of Google, and Doug Engelbart, Bill Atkinson, and others involved in the invention and development of the mouse and the desktop--have been instrumental in making a difference in the design of interactions. Their stories chart the history of entrepreneurial design development for technology.Moggridge and his interviewees discuss such questions as why a personal computer has a window in a desktop, what made Palm's handheld organizers so successful, what turns a game into a hobby, why Google is the search engine of choice, and why 30 million people in Japan choose the i-mode service for their cell phones. And Moggridge tells the story of his own design process and explains the focus on people and prototypes that has been successful at IDEO--how the needs and desires of people can inspire innovative designs and how prototyping methods are evolving for the design of digital technology.Designing Interactions is illustrated with more than 700 images, with color throughout. Accompanying the book is a DVD that contains segments from all the interviews intercut with examples of the interactions under discussion.Interviews with: Bill Atkinson - Durrell Bishop - Brendan Boyle - Dennis Boyle - Paul Bradley - Duane Bray - Sergey Brin - Stu Card - Gillian Crampton Smith - Chris Downs- Tony Dunne - John Ellenby - Doug Englebart - Jane Fulton Suri - Bill Gaver - Bing Gordon - Rob Haitani - Jeff Hawkins - Matt Hunter - Hiroshi Ishii - Bert Keely - David Kelley - Rikako Kojima - Brenda Laurel - David Liddle - Lavrans L?vlie - John Maeda - Paul Mercer - Tim Mott - Joy Mountford - Takeshi Natsuno - Larry Page - Mark Podlaseck - Fiona Raby - Cordell Ratzlaff - Ben Reason - Jun Rekimoto - Steve Rogers - Fran Samalionis - Larry Tesler - Bill Verplank - Terry Winograd - Will Wright

    He shows how tools developed because of significant parallel inventions in ritual, language, and social organization. “It is a stimulating volume, informed both with an enormous range of knowledge and empathetic spirit” (Eliot Fremont-Smith, New York Times). Index; photographs.

    Mind Children, written by an internationally renowned roboticist, offers a comparable experience--a mind-boggling glimpse of a world we may soon share with our artificial progeny. Filled with fresh ideas and insights, this book is one of the most engaging and controversial visions of the future ever written by a serious scholar.Hans Moravec convincingly argues that we are approaching a watershed in the history of life--a time when the boundaries between biological and postbiological intelligence will begin to dissolve. Within forty years, Moravec believes, we will achieve human equivalence in our machines, not only in their capacity to reason but also in their ability to perceive, interact with, and change their complex environment. The critical factor is mobility. A computer rooted to one place is doomed to static iterations, whereas a machine on the prowl, like a mobile organism, must evolve a richer fund of knowledge about an ever-changing world upon which to base its actions.In order to achieve anything near human equivalence, robots will need, at the least, the capacity to perform ten trillion calculations per second. Given the trillion-fold increase in computational power since the end of the nineteenth century, and the promise of exotic technologies far surpassing the now-familiar lasers and even superconductors, Moravec concludes that our hardware will have no trouble meeting this forty-year timetable.But human equivalence is just the beginning, not an upper bound. Once the tireless thinking capacity of robots is directed to the problem of their own improvement and reproduction, even the sky will not limit their voracious exploration of the universe. In the concluding chapters Moravec challenges us to imagine with him the possibilities and pitfalls of such a scenario. Rather than warning us of takeover by robots, the author invites us, as we approach the end of this millennium, to speculate about a plausible, wonderful postbiological future and the ways in which our minds might participate in its unfolding.

    Hardcover published by Quadragle/The New York Times Book Co., third printing, August 1977, copyright 1975.

    The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an experienced data programmer, it will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process.Create vectors, handle variables, and perform other basic functionsInput and output dataTackle data structures such as matrices, lists, factors, and data framesWork with probability, probability distributions, and random variablesCalculate statistics and confidence intervals, and perform statistical testsCreate a variety of graphic displaysBuild statistical models with linear regressions and analysis of variance (ANOVA)Explore advanced statistical techniques, such as finding clusters in your dataWonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language--one practical example at a time.--Jeffrey Ryan, software consultant and R package author

    This updated edition includes all the changes in Python 3, itself a significant shift from earlier versions of Python.The book begins with basic but useful programs that teach the core features of syntax, control flow, and data structures. It then moves to larger applications involving code management, object-oriented programming, web development, and converting code from earlier versions of Python.True to his audience of experienced developers, the author covers common programming language features concisely, while giving more detail to those features unique to Python.Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

    Hartmut explains innovation through the lens of design, and it's about time we gained his valuable perspective." --Guy Kawasaki, former chief evangelist, Apple and co-founder of Alltop.com"At Flextronics, we fell in love with Hartmut and frog, and their passion for bringing crazy great designs and design processes into the forefront of great product companies. We used their expertise to help our customers, many of the greatest product companies in the world, including Apple, HP, Cisco, Microsoft and others. It is a credit to Hartmut that in the midst of a shocking global recession, frog still sets quarterly revenue records. Theirs is a unique and fascinating story." --Michael Marks, partner, Riverwood Capital LLC and former CEO, Flextronics"Hartmut's new approach to design is felt in every room in every house in every country and in every business around the world. He proved that thoughtful design is not only good for people but is good for business--and that both are interlinked. I have been fortunate to have observed first hand his impact at Sony, Apple, and HP?and have learned so much from him. He is an unsung hero of our times! A Fine Line is a must-read for designers and business people alike." --Satjiv Chahil, senior vice president, Hewlett-Packard"A fascinating, breathtaking, and exemplary insight into a success story that never had so much topicality, and so much informative potential as just now. Esslinger offers an honest and encouraging portrait of the incredible power of the business and design alliance. A Fine Line is a handbook of design expertise and the art of business at its best, showing a variety of radical solutions and fresh new ideas." --Professor Dr Peter Zec, president, ICSID and founder, red dot awards

    General introductions by Janet Murray and Lev Manovich, along with short introductions to each of the texts, place the works in their historical context and explain their significance. The texts were originally published between World War II--when digital computing, cybernetic feedback, and early notions of hypertext and the Internet first appeared--and the emergence of the World Wide Web--when they entered the mainstream of public life.The texts are by computer scientists, artists, architects, literary writers, interface designers, cultural critics, and individuals working across disciplines. The contributors include (chronologically) Jorge Luis Borges, Vannevar Bush, Alan Turing, Ivan Sutherland, William S. Burroughs, Ted Nelson, Italo Calvino, Marshall McLuhan, Billy Kl?Jean Baudrillard, Nicholas Negroponte, Alan Kay, Bill Viola, Sherry Turkle, Richard Stallman, Brenda Laurel, Langdon Winner, Robert Coover, and Tim Berners-Lee. The CD accompanying the book contains examples of early games, digital art, independent literary efforts, software created at universities, and home-computer commercial software. Also on the CD is digitized video, documenting new media programs and artwork for which no operational version exists. One example is a video record of Douglas Engelbart's first presentation of the mouse, word processor, hyperlink, computer-supported cooperative work, video conferencing, and the dividing up of the screen we now call non-overlapping windows; another is documentation of Lynn Hershman's Lorna, the first interactive video art installation.

    You’ll learn how to combine social web data, analysis techniques, and visualization to find what you’ve been looking for in the social haystack—as well as useful information you didn’t know existed.Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.Get a straightforward synopsis of the social web landscapeUse adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, LinkedIn, and Google+Learn how to employ easy-to-use Python tools to slice and dice the data you collectExplore social connections in microformats with the XHTML Friends NetworkApply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detectionBuild interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits"A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google

    It draws our attention away from the bright shiny objects of the new colonialism through elucidating the social, material and political dimensions of Artificial Intelligence.”—Geoffrey C. Bowker, University of California, Irvine What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? In this book Kate Crawford reveals how this planetary network is fueling a shift toward undemocratic governance and increased racial, gender, and economic inequality. Drawing on more than a decade of research, award‑winning science, and technology, Crawford reveals how AI is a technology of extraction: from the energy and minerals needed to build and sustain its infrastructure, to the exploited workers behind “automated” services, to the data AI collects from us.    Rather than taking a narrow focus on code and algorithms, Crawford offers us a political and a material perspective on what it takes to make artificial intelligence and where it goes wrong. While technical systems present a veneer of objectivity, they are always systems of power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.

    However, with Scrum's lack of prescribed rules, the friction of change can be challenging as people struggle to break from old project management habits. In this book, agile-process revolution leader Ken Schwaber takes you through change management--for your organizational and interpersonal processes--explaining how to successfully adopt Scrum across your entire organization.A cofounder of Scrum, Ken draws from decades of experience, answering your questions through case studies of proven practices and processes. With them, you'll learn how to adopt--and adapt--Scrum in the enterprise. And gain profound levels of transparency into your development processes.Discover how to:Evaluate the benefits of adopting Scrum in any size organization Initiate an enterprise transition project Implement a single, prioritized Product Backlog Organize effective Scrum teams using a top-down approach Adapt and apply solutions for integrating engineering practices across multiple teams Shorten release times by managing high-value increments Refine your Scrum practices and help reduce the length of Sprints

    It is a ‘ must’ book for those in every branch of science . . . in addition, economists, politicians, statesmen, and businessmen cannot afford to overlook cybernetics and its tremendous, even terrifying implications. "It is a beautifully written book, lucid, direct, and despite its complexity, as readable by the layman as the trained scientist." -- John B. Thurston, "The Saturday Review of Literature" Acclaimed one of the "seminal books . . . comparable in ultimate importance to . . . Galileo or Malthus or Rousseau or Mill," "Cybernetics" was judged by twenty-seven historians, economists, educators, and philosophers to be one of those books published during the "past four decades", which may have a substantial impact on public thought and action in the years ahead." -- Saturday Review

    You want to learn HTML so you can finally create those web pages you've always wanted, so you can communicate more effectively with friends, family, fans, and fanatic customers. You also want to do it right so you can actually maintain and expand your web pages over time so they work in all browsers and mobile devices. Oh, and if you've never heard of CSS, that's okay--we won't tell anyone you're still partying like it's 1999--but if you're going to create web pages in the 21st century then you'll want to know and understand CSS. Learn the real secrets of creating web pages, and why everything your boss told you about HTML tables is probably wrong (and what to do instead). Most importantly, hold your own with your co-worker (and impress cocktail party guests) when he casually mentions how his HTML is now strict, and his CSS is in an external style sheet. With Head First HTML, you'll avoid the embarrassment of thinking web-safe colors still matter, and the foolishness of slipping a font tag into your pages. Best of all, you'll learn HTML and CSS in a way that won't put you to sleep. If you've read a Head First book, you know what to expect: a visually-rich format designed for the way your brain works. Using the latest research in neurobiology, cognitive science, and learning theory, this book will load HTML and CSS into your brain in a way that sticks. So what are you waiting for? Leave those other dusty books behind and come join us in Webville. Your tour is about to begin.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results