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| controversial topics computer science: The Nature of Computation: Logic, Algorithms, Applications Paola Bonizzoni, Vasco Brattka, Benedikt Löwe, 2013-06-03 This book constitutes the refereed proceedings of the 9th Conference on Computability in Europe, CiE 2013, held in Milan, Italy, in July 2013. The 48 revised papers presented together with 1 invited lecture and 2 tutorials were carefully reviewed and selected with an acceptance rate of under 31,7%. Both the conference series and the association promote the development of computability-related science, ranging over mathematics, computer science and applications in various natural and engineering sciences such as physics and biology, and also including the promotion of related non-scientific fields such as philosophy and history of computing. |
| controversial topics computer science: Ethics and Technology Herman T. Tavani, 2016-01-11 Ethics and Technology, 5th Edition, by Herman Tavani introduces students to issues and controversies that comprise the relatively new field of cyberethics. This text examines a wide range of cyberethics issues--from specific issues of moral responsibility that directly affect computer and information technology (IT) professionals to broader social and ethical concerns that affect each of us in our day-to-day lives. The 5th edition shows how modern day controversies created by emerging technologies can be analyzed from the perspective of standard ethical concepts and theories. |
| controversial topics computer science: Fundamental Concepts in Computer Science Erol Gelenbe, 2009 This book presents fundamental contributions to computer science as written and recounted by those who made the contributions themselves. As such, it is a highly original approach to a OC living historyOCO of the field of computer science. The scope of the book is broad in that it covers all aspects of computer science, going from the theory of computation, the theory of programming, and the theory of computer system performance, all the way to computer hardware and to major numerical applications of computers. |
| controversial topics computer science: The Case for Contention Jonathan Zimmerman, Emily Robertson, 2017-04-24 From the fights about the teaching of evolution to the details of sex education, it may seem like American schools are hotbeds of controversy. But as Jonathan Zimmerman and Emily Robertson show in this insightful book, it is precisely because such topics are so inflammatory outside school walls that they are so commonly avoided within them. And this, they argue, is a tremendous disservice to our students. Armed with a detailed history of the development of American educational policy and norms and a clear philosophical analysis of the value of contention in public discourse, they show that one of the best things American schools should do is face controversial topics dead on, right in their classrooms. Zimmerman and Robertson highlight an aspect of American politics that we know all too well: We are terrible at having informed, reasonable debates. We opt instead to hurl insults and accusations at one another or, worse, sit in silence and privately ridicule the other side. Wouldn’t an educational system that focuses on how to have such debates in civil and mutually respectful ways improve our public culture and help us overcome the political impasses that plague us today? To realize such a system, the authors argue that we need to not only better prepare our educators for the teaching of hot-button issues, but also provide them the professional autonomy and legal protection to do so. And we need to know exactly what constitutes a controversy, which is itself a controversial issue. The existence of climate change, for instance, should not be subject to discussion in schools: scientists overwhelmingly agree that it exists. How we prioritize it against other needs, such as economic growth, however—that is worth a debate. With clarity and common-sense wisdom, Zimmerman and Robertson show that our squeamishness over controversy in the classroom has left our students woefully underserved as future citizens. But they also show that we can fix it: if we all just agree to disagree, in an atmosphere of mutual respect. |
| controversial topics computer science: Debates in the Digital Humanities 2016 Matthew K. Gold, Lauren F. Klein, 2016-05-18 Pairing full-length scholarly essays with shorter pieces drawn from scholarly blogs and conference presentations, as well as commissioned interviews and position statements, Debates in the Digital Humanities 2016 reveals a dynamic view of a field in negotiation with its identity, methods, and reach. Pieces in the book explore how DH can and must change in response to social justice movements and events like #Ferguson; how DH alters and is altered by community college classrooms; and how scholars applying DH approaches to feminist studies, queer studies, and black studies might reframe the commitments of DH analysts. Numerous contributors examine the movement of interdisciplinary DH work into areas such as history, art history, and archaeology, and a special forum on large-scale text mining brings together position statements on a fast-growing area of DH research. In the multivalent aspects of its arguments, progressing across a range of platforms and environments, Debates in the Digital Humanities 2016 offers a vision of DH as an expanded field—new possibilities, differently structured. Published simultaneously in print, e-book, and interactive webtext formats, each DH annual will be a book-length publication highlighting the particular debates that have shaped the discipline in a given year. By identifying key issues as they unfold, and by providing a hybrid model of open-access publication, these volumes and the Debates in the Digital Humanities series will articulate the present contours of the field and help forge its future. Contributors: Moya Bailey, Northeastern U; Fiona Barnett; Matthew Battles, Harvard U; Jeffrey M. Binder; Zach Blas, U of London; Cameron Blevins, Rutgers U; Sheila A. Brennan, George Mason U; Timothy Burke, Swarthmore College; Rachel Sagner Buurma, Swarthmore College; Micha Cárdenas, U of Washington–Bothell; Wendy Hui Kyong Chun, Brown U; Tanya E. Clement, U of Texas–Austin; Anne Cong-Huyen, Whittier College; Ryan Cordell, Northeastern U; Tressie McMillan Cottom, Virginia Commonwealth U; Amy E. Earhart, Texas A&M U; Domenico Fiormonte, U of Roma Tre; Paul Fyfe, North Carolina State U; Jacob Gaboury, Stony Brook U; Kim Gallon, Purdue U; Alex Gil, Columbia U; Brian Greenspan, Carleton U; Richard Grusin, U of Wisconsin, Milwaukee; Michael Hancher, U of Minnesota; Molly O’Hagan Hardy; David L. Hoover, New York U; Wendy F. Hsu; Patrick Jagoda, U of Chicago; Jessica Marie Johnson, Michigan State U; Steven E. Jones, Loyola U; Margaret Linley, Simon Fraser U; Alan Liu, U of California, Santa Barbara; Elizabeth Losh, U of California, San Diego; Alexis Lothian, U of Maryland; Michael Maizels, Wellesley College; Mark C. Marino, U of Southern California; Anne B. McGrail, Lane Community College; Bethany Nowviskie, U of Virginia; Julianne Nyhan, U College London; Amanda Phillips, U of California, Davis; Miriam Posner, U of California, Los Angeles; Rita Raley, U of California, Santa Barbara; Stephen Ramsay, U of Nebraska–Lincoln; Margaret Rhee, U of Oregon; Lisa Marie Rhody, Graduate Center, CUNY; Roopika Risam, Salem State U; Stephen Robertson, George Mason U; Mark Sample, Davidson College; Jentery Sayers, U of Victoria; Benjamin M. Schmidt, Northeastern U; Scott Selisker, U of Arizona; Jonathan Senchyne, U of Wisconsin, Madison; Andrew Stauffer, U of Virginia; Joanna Swafford, SUNY New Paltz; Toniesha L. Taylor, Prairie View A&M U; Dennis Tenen; Melissa Terras, U College London; Anna Tione; Ted Underwood, U of Illinois, Urbana–Champaign; Ethan Watrall, Michigan State U; Jacqueline Wernimont, Arizona State U; Laura Wexler, Yale U; Hong-An Wu, U of Illinois, Urbana–Champaign. |
| controversial topics computer science: OBSERVATIONS CONCERNING DIGNIFIABLE QUESTIONS ABOUT AMERICAN HIGHER EDUCATION Ekkehard-Teja Wilke, 2023-06-25 The United States is blessed with thousands of institutions of post secondary education. Integrity is alive at all levels. Learning takes place. American higher education is a stupendous achievement with a proud tradition. No area in the world is likely to claim better schools and a better record. Hundreds of small institutions with less than 1000 students, some public, some private, independent, some denominational, some comprehensive, others program selective, represent and live the spirit of a community of learning. But it is also true that the system of American higher education, just as American democracy, is confronted with challenges and threats. As the the Secretary of the U.S. Department of Education has recently, in August 2022, observed, “ The system was never completely right-side up”. He talked of a “post-secondary purgatory”, of a ranking system that is “a joke”, and called for a “cultural change in higher education, NOW”. These challenges and threats need to be addressed now, while it is still, hopefully, time to avert potentially catastrophic consequences. Just as democratic institutions are likely to be misused and need constant critical vigilance, so educational institutions need , active, constant attention and engaged maintenance. The experiences described in these chapters, while accurate, do not reflect comprehensively the “state of post-secondary American education”. But glaring defects and negative tendencies do exist and continue at all levels and to a degree that demands informed awareness and action. The quantitative leap in the student population after 1945 accelerated positive and negative developments. Opportunity of education is available, but hardly equal opportunity. Higher education seems to have become unduly influenced by interests and considerations destructive of quality education. Changes need to be considered and consensually implemented now in order to minimize intended and unintended negative consequences. |
| controversial topics computer science: Web Content Credibility Adam Wierzbicki, 2018-06-27 This book introduces readers to Web content credibility evaluation and evaluation support. It highlights empirical research and establishes a solid foundation for future research by presenting methods of supporting credibility evaluation of online content, together with publicly available datasets for reproducible experimentation, such as the Web Content Credibility Corpus. The book is divided into six chapters. After a general introduction in Chapter 1, including a brief survey of credibility evaluation in the social sciences, Chapter 2 presents definitions of credibility and related concepts of truth and trust. Next, Chapter 3 details methods, algorithms and user interfaces for systems supporting Web content credibility evaluation. In turn, Chapter 4 takes a closer look at the credibility of social media, exemplified in sections on Twitter, Q&A systems, and Wikipedia, as well as fake news detection. In closing, Chapter 5 presents mathematical and simulation models of credibility evaluation, before a final round-up of the book is provided in Chapter 6. Overall, the book reviews and synthesizes the current state of the art in Web content credibility evaluation support and fake news detection. It provides researchers in academia and industry with both an incentive and a basis for future research and development of Web content credibility evaluation support services. |
| controversial topics computer science: Program Verification Timothy T.R. Colburn, J.H. Fetzer, R.L. Rankin, 2012-12-06 Among the most important problems confronting computer science is that of developing a paradigm appropriate to the discipline. Proponents of formal methods - such as John McCarthy, C.A.R. Hoare, and Edgar Dijkstra - have advanced the position that computing is a mathematical activity and that computer science should model itself after mathematics. Opponents of formal methods - by contrast, suggest that programming is the activity which is fundamental to computer science and that there are important differences that distinguish it from mathematics, which therefore cannot provide a suitable paradigm. Disagreement over the place of formal methods in computer science has recently arisen in the form of renewed interest in the nature and capacity of program verification as a method for establishing the reliability of software systems. A paper that appeared in Communications of the ACM entitled, `Program Verification: The Very Idea', by James H. Fetzer triggered an extended debate that has been discussed in several journals and that has endured for several years, engaging the interest of computer scientists (both theoretical and applied) and of other thinkers from a wide range of backgrounds who want to understand computer science as a domain of inquiry. The editors of this collection have brought together many of the most interesting and important studies that contribute to answering questions about the nature and the limits of computer science. These include early papers advocating the mathematical paradigm by McCarthy, Naur, R. Floyd, and Hoare (in Part I), others that elaborate the paradigm by Hoare, Meyer, Naur, and Scherlis and Scott (in Part II), challenges, limits and alternatives explored by C. Floyd, Smith, Blum, and Naur (in Part III), and recent work focusing on formal verification by DeMillo, Lipton, and Perlis, Fetzer, Cohn, and Colburn (in Part IV). It provides essential resources for further study. This volume will appeal to scientists, philosophers, and laypersons who want to understand the theoretical foundations of computer science and be appropriately positioned to evaluate the scope and limits of the discipline. |
| controversial topics computer science: Scientists Debate Gaia Stephen Henry Schneider, 2004 Leading scientists bring the controversy over Gaia up to date by exploring a broad range of recent thinking on Gaia theory. |
| controversial topics computer science: Writing for Computer Science Justin Zobel, 2004-06-03 A complete update to a classic, respected resource Invaluable reference, supplying a comprehensive overview on how to undertake and present research |
| controversial topics computer science: Topics, Computer Education for Elementary and Secondary Schools Association for Computing Machinery. Education Board, 1981 |
| controversial topics computer science: Funding a Revolution National Research Council, Computer Science and Telecommunications Board, Committee on Innovations in Computing and Communications: Lessons from History, 1999-02-11 The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it. |
| controversial topics computer science: Current Controversies in Philosophy of Cognitive Science Adam J Lerner, Simon Cullen, Sarah-Jane Leslie, 2023-05-31 In this volume, leading researchers debate five core questions in the philosophy of cognitive science. For each topic, the volume provides two essays, each advocating for an opposing approach. |
| controversial topics computer science: Microcomputer K. L. Bowles, 2012-12-06 This book is designed both for introductory courses in computer problem solving, at the freshman and sophomore college level, and for individual self study. An earlier version of the book has been used seven times for teaching large introductory classes at University of California San Diego (UCSD). This preface is intended for the instructor, or for anyone sophisticated enough in contemporary computing practice to be able to advise the prospective student. The amount of material presented has been completed by about 55 percent of all students taking the course, where UCSD schedules 10 weeks of classes in a quarter. We have taught the course using Keller's Personalized System of Instruction (PSI), though the organization of the book does not require that plan to be used. PSI methods allow slightly more material to be absorbed by the students than is the case with the traditional lecture/recitation presentation. PSI allows grading according to the number of chapter units completed. Virtually all students who pass the course at UCSD do complete the first ten essential chapters and the Exercises associated with them. For a conventional presentation under the semester system, the 15 chapters should present an appropriate amount of material. For a conventional course under the quarter system, one might not expect to complete more than the first 12 chapters except on an extra credit basis. |
| controversial topics computer science: Who's Bigger? Steven Skiena, Charles B. Ward, 2014 In this fascinating book, Steve Skiena and Charles Ward bring quantitative analysis to bear on ranking and comparing historical reputations by aggregating the traces of millions of opinions, just as Google ranks webpages. They present rankings of more than one thousand of history's most significant people in science, politics, entertainment, and all areas of human endeavor. |
| controversial topics computer science: Algorithms in C. Robert Sedgewick, 2001 This text aims to provide an introduction to graph algorithms and data structures and an understanding of the basic properties of a broad range of fundamental graph algorithms. It is suitable for anyone with some basic programming concepts. It covers graph properties and types, graph search, directed graphs, minimal spanning trees, shortest paths, and networks. |
| controversial topics computer science: The Complete Idiot's Guide to Managing Your Time Jeff Davidson MBA, CMC, 2003-03-03 With this guide, readers will discover the basics of how to manage time and prioritize, with solid advice on how to say no when a responsibility just can't be handled. The Complete Idiot's Guide® to Managing Your Time includes: • Quick and easy techniques for getting the most from every minute • Idiot-proof steps for controlling how you spend your time • Valuable tips for getting paperwork into shape |
| controversial topics computer science: The Oxford Handbook of the Science of Science Communication Kathleen Hall Jamieson, Dan M. Kahan, Dietram Scheufele, 2017 On topics from genetic engineering and mad cow disease to vaccination and climate change, this Handbook draws on the insights of 57 leading science of science communication scholars who explore what social scientists know about how citizens come to understand and act on what is known by science. |
| controversial topics computer science: Milestones in Analog and Digital Computing Herbert Bruderer, 2021-01-04 This Third Edition is the first English-language edition of the award-winning Meilensteine der Rechentechnik; illustrated in full color throughout in two volumes. The Third Edition is devoted to both analog and digital computing devices, as well as the world's most magnificient historical automatons and select scientific instruments (employed in astronomy, surveying, time measurement, etc.). It also features detailed instructions for analog and digital mechanical calculating machines and instruments, and is the only such historical book with comprehensive technical glossaries of terms not found in print or in online dictionaries. The book also includes a very extensive bibliography based on the literature of numerous countries around the world. Meticulously researched, the author conducted a worldwide survey of science, technology and art museums with their main holdings of analog and digital calculating and computing machines and devices, historical automatons and selected scientific instruments in order to describe a broad range of masterful technical achievements. Also covering the history of mathematics and computer science, this work documents the cultural heritage of technology as well. |
| controversial topics computer science: Ethics in Qualitative Research Martyn Hammersley, Anna Traianou, 2012-05-17 All social researchers need to think about ethical issues. Their salience has recently been increased by the pressures of ethical regulation, particularly in the case of qualitative research. But what are ethical issues? And how should they be approached? These are not matters about which there is agreement. Ethics in Qualitative Research explores conflicting philosophical assumptions, the diverse social contexts in which ethical problems arise, and the complexities of handling them in practice. The authors argue that the starting point for any discussion of research ethics must be the values intrinsic to research, above all the commitment to knowledge-production. However, the pursuit of inquiry is rightly constrained by external values, and the book focuses on three of these: minimising harm, respecting autonomy, and protecting privacy. These external values are shown to be far from unequivocal in character, often in conflict with one another (or with the commitments of research), and always subject to situational interpretation and practical judgment. Nevertheless, it is contended that in the present challenging times it is essential that qualitative researchers uphold research values. Martyn Hammersley is Professor of Educational and Social Research at The Open University. Anna Traianou is Senior Lecturer in the Department of Educational Studies, Goldsmiths, University of London. |
| controversial topics computer science: The New ABCs of Research Ben Shneiderman, 2016-02-04 The problems we face in the 21st century require innovative thinking from all of us. Be it students, academics, business researchers of government policy makers. Hopes for improving our healthcare, food supply, community safety and environmental sustainability depend on the pervasive application of research solutions. The research heroes who take on the immense problems of our time face bigger than ever challenges, but if they adopt potent guiding principles and effective research lifecycle strategies, they can produce the advances that will enhance the lives of many people. These inspirational research leaders will break free from traditional thinking, disciplinary boundaries, and narrow aspirations. They will be bold innovators and engaged collaborators, who are ready to lead, yet open to new ideas, self-confident, yet empathetic to others. In this book, Ben Shneiderman recognizes the unbounded nature of human creativity, the multiplicative power of teamwork, and the catalytic effects of innovation. He reports on the growing number of initiatives to promote more integrated approaches to research so as to promote the expansion of these efforts. It is meant as a guide to students and junior researchers, as well as a manifesto for senior researchers and policy makers, challenging widely-held beliefs about how applied innovations evolve and how basic breakthroughs are made, and helping to plot the course towards tomorrow's great advancements. |
| controversial topics computer science: Microcomputer Kenneth L. Bowles, 2013-12-11 This book is designed both for introductory courses in computer problem solving, at the freshman and sophomore college level, and for individual self study. An earlier version of the book has been used seven times for teaching large introductory classes at University of California San Diego (UCSD). This preface is intended for the instructor, or for anyone sophisticated enough in contemporary computing practice to be able to advise the prospective student. The amount of material presented has been completed by about 55 percent of all students taking the course, where UCSD schedules 10 weeks of classes in a quarter. We have taught the course using Keller's Personalized System of Instruction (PSI), though the organization of the book does not require that plan to be used. PSI methods allow slightly more material to be absorbed by the students than is the case with the traditional lecture/recitation presentation. PSI allows grading according to the number of chapter units completed. Virtually all students who pass the course at UCSD do complete the first ten essential chapters and the Exercises associated with them. For a conventional presentation under the semester system, the 15 chapters should present an appropriate amount of material. For a conventional course under the quarter system, one might not expect to complete more than the first 12 chapters except on an extra credit basis. |
| controversial topics computer science: Category Theory for the Sciences David I. Spivak, 2014-10-17 An introduction to category theory as a rigorous, flexible, and coherent modeling language that can be used across the sciences. Category theory was invented in the 1940s to unify and synthesize different areas in mathematics, and it has proven remarkably successful in enabling powerful communication between disparate fields and subfields within mathematics. This book shows that category theory can be useful outside of mathematics as a rigorous, flexible, and coherent modeling language throughout the sciences. Information is inherently dynamic; the same ideas can be organized and reorganized in countless ways, and the ability to translate between such organizational structures is becoming increasingly important in the sciences. Category theory offers a unifying framework for information modeling that can facilitate the translation of knowledge between disciplines. Written in an engaging and straightforward style, and assuming little background in mathematics, the book is rigorous but accessible to non-mathematicians. Using databases as an entry to category theory, it begins with sets and functions, then introduces the reader to notions that are fundamental in mathematics: monoids, groups, orders, and graphs—categories in disguise. After explaining the “big three” concepts of category theory—categories, functors, and natural transformations—the book covers other topics, including limits, colimits, functor categories, sheaves, monads, and operads. The book explains category theory by examples and exercises rather than focusing on theorems and proofs. It includes more than 300 exercises, with solutions. Category Theory for the Sciences is intended to create a bridge between the vast array of mathematical concepts used by mathematicians and the models and frameworks of such scientific disciplines as computation, neuroscience, and physics. |
| controversial topics computer science: Nine Algorithms That Changed the Future John MacCormick, 2020-09-15 Nine revolutionary algorithms that power our computers and smartphones Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers, and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? John MacCormick answers this question in language anyone can understand, using vivid examples to explain the fundamental tricks behind nine computer algorithms that power our PCs, tablets, and smartphones. |
| controversial topics computer science: Mathematical Aspects of Artificial Intelligence Frederick Hoffman, American Mathematical Society, 1998 There exists a history of great expectations and large investments involving artificial intelligence (AI). There are also notable shortfalls and memorable disappointments. One major controversy regarding AI is just how mathematical a field it is or should be. This text includes contributions that examine the connections between AI and mathematics, demonstrating the potential for mathematical applications and exposing some of the more mathematical areas within AI. The goal is to stimulate interest in people who can contribute to the field or use its results. Included in the work by M. Newborn on the famous Deep BLue chess match. He discusses highly mathematical techniques involving graph theory, combinatorics and probability and statistics. G. Shafer offers his development of probability through probability trees with some of the results appearing here for the first time. M. Golumbic treats temporal reasoning with ties to the famous Frame Problem. His contribution involves logic, combinatorics and graph theory and leads to two chapters with logical themes. H. Kirchner explains how ordering techniques in automated reasoning systems make deduction more efficient. Constraint logic programming is discussed by C. Lassez, who shows its intimate ties to linear programming with crucial theorems going back to Fourier. V. Nalwa's work provides a brief tour of computer vision, tying it to mathematics - from combinatorics, probability and geometry to partial differential equations. All authors are gifted expositors and are current contributors to the field. The wide scope of the volume includes research problems, research tools and good motivational material for teaching. |
| controversial topics computer science: Making Classroom Discussions Work Jane C. Lo, 2022 For the last 2 decades, the field of social studies education has seen an increase in research on the use of discussions as an essential instructional technique. This book examines the importance of using quality dialogue as a tool to help students understand complex issues in social studies classrooms. The author provides a collection of well-known, evidence-based discussion techniques as well as classroom examples showing the methods in use. While the benefits of using discussion as an instructional method is widely considered a best practice of civic learning, actual high-quality discussions are rare and notoriously difficult to facilitate. Making Classroom Discussions Work is designed to guide teacher educators and classroom teachers in facilitating equitable and productive discussions that will boost learning and democratic engagement. Book Features: Emphasizes the rationale for using discussion in social studies teaching. Collects strategies that have been proposed in disparate journal articles and books in one convenient volume. Presents research-based challenges and supports for conducting and assessing discussions in the social studies. Includes methods and tips to help teachers make discussions more equitable in their classrooms. Contributors: Terence Beck, Jacob S. Bennett, Bryant O. Best, Mary Ellen Daneels, Antero Garcia, Noorya Hayat, Carlos P. Hipolito-Delgado, Erica Hodgin, Amanda Jennings, Jeff Kabat, Kei Kawashima-Ginsberg, Jada Kohlmeier, Bruce E. Larson, Arine Lowery, Paula McAvoy, Elizabeth Milligan Cordova, H. Richard Milner IV, Nicole Mirra, Chauncey Monte-Sano; Walter Parker, Maria del Mar Estrada Rebull, Abby Reisman, Dan Stickney |
| controversial topics computer science: Literary Theory for Robots: How Computers Learned to Write (A Norton Short) Dennis Yi Tenen, 2024-02-06 In the industrial age, automation came for the shoemaker and the seamstress. Today, it has come for the writer, physician, programmer, and attorney. Literary Theory for Robots reveals the hidden history of modern machine intelligence, taking readers on a spellbinding journey from medieval Arabic philosophy to visions of a universal language, past Hollywood fiction factories and missile defense systems trained on Russian folktales. In this provocative reflection on the shared pasts of literature and computer science, former Microsoft engineer and professor of comparative literature Dennis Yi Tenen provides crucial context for recent developments in AI, which holds important lessons for the future of humans living with smart technology. Intelligence expressed through technology should not be mistaken for a magical genie, capable of self-directed thought or action. Rather, in highly original and effervescent prose with a generous dose of wit, Yi Tenen asks us to read past the artifice—to better perceive the mechanics of collaborative work. Something as simple as a spell-checker or a grammar-correction tool, embedded in every word-processor, represents the culmination of a shared human effort, spanning centuries. Smart tools, like dictionaries and grammar books, have always accompanied the act of writing, thinking, and communicating. That these paper machines are now automated does not bring them to life. Nor can we cede agency over the creative process. With its masterful blend of history, technology, and philosophy, Yi Tenen’s work ultimately urges us to view AI as a matter of labor history, celebrating the long-standing cooperation between authors and engineers. |
| controversial topics computer science: Expert Bytes Vlad Atanasiu, 2013-09-11 Expert Bytes: Computer Expertise in Forensic Documents Players, Needs, Resources and Pitfallsintroduces computer scientists and forensic document examiners to the computer expertise of forensic documents and assists them with the design of research projects in this interdisciplinary field. This is not a textbook on how to perform the actua |
| controversial topics computer science: Start Concurrent Barry Wittman, Aditya Mathur, Tim Korb, 2013-12-31 Multicore microprocessors are now at the heart of nearly all desktop and laptop computers. While these chips offer exciting opportunities for the creation of newer and faster applications, they also challenge students and educators. How can the new generation of computer scientists growing up with multicore chips learn to program applications that exploit this latent processing power? This unique book is an attempt to introduce concurrent programming to first-year computer science students, much earlier than most competing products. This book assumes no programming background but offers a broad coverage of Java. It includes over 150 numbered and numerous inline examples as well as more than 300 exercises categorized as conceptual, programming, and experiments. The problem-oriented approach presents a problem, explains supporting concepts, outlines necessary syntax, and finally provides its solution. All programs in the book are available for download and experimentation. A substantial index of at least 5000 entries makes it easy for readers to locate relevant information. In a fast-changing field, this book is continually updated and refined. The 2014 version is the seventh draft edition of this volume, and features numerous revisions based on student feedback. A list of errata for this version can be found on the Purdue University Department of Computer Science website. |
| controversial topics computer science: Blended Learning Anthony G. Picciano, Charles D. Dziuban, Charles R. Graham, Patsy D. Moskal, 2021-09-28 Blended Learning: Research Perspectives, Volume 3 offers new insights into the state of blended learning, an instructional modality that combines face-to-face and digitally mediated experiences. Education has recently seen remarkable advances in instructional technologies such as adaptive and personalized instruction, virtual learning environments, gaming, analytics, and big data software. This book examines how these and other evolving tools are fueling advances in our schools, colleges, and universities. Original scholarship from education’s top thinkers will prepare researchers and learning designers to tackle major issues relating to learning effectiveness, diversity, economies of scale, and beyond. |
| controversial topics computer science: Agricultural and Food Controversies F. Bailey Norwood, Pascal A. Oltenacu, Michelle S. Calvo-Lorenzo, 2015 In Agricultural and Food Controversies: What Everyone Needs to Know, agricultural researchers present both sides of heavily debated agricultural and food issues. They answer questions and explain scholarly and scientific research on topics such as organic food, the safety of pesticides, livestock living conditions, the use of antibiotics in livestock intended for consumption, the effect of agriculture on the environment, and more. |
| controversial topics computer science: Revival: The Handbook of Software for Engineers and Scientists (1995) Paul W Ross, 2018-05-04 The Handbook of Software for Engineers and Scientists is a single-volume, ready reference for the practicing engineer and scientist in industry, government, and academia as well as the novice computer user. It provides the most up-to-date information in a variety of areas such as common platforms and operating systems, applications programs, networking, and many other problem-solving tools necessary to effectively use computers on a daily basis. Specific platforms and environments thoroughly discussed include MS-DOS®, Microsoft® WindowsTM, the Macintosh® and its various systems, UNIXTM, DEC VAXTM, IBM® mainframes, OS/2®, WindowsTM NT, and NeXTSTEPTM. Word processing, desktop publishing, spreadsheets, databases, integrated packages, computer presentation systems, groupware, and a number of useful utilities are also covered. Several extensive sections in the book are devoted to mathematical and statistical software. Information is provided on circuits and control simulation programs, finite element tools, and solid modeling tools. |
| controversial topics computer science: Resources in Education , 1998-05 |
| controversial topics computer science: Teaching and Learning Culture Mads Jakob Kirkebæk, Xiang-Yun Du, Annie Aarup Jensen, 2013-11-19 This book is based on educational research conducted by researchers from the Department of Learning and Philosophy and the Confucius Institute for Innovation and Learning at Aalborg University. Empirically, it reports on different approaches to teaching and learning of culture, including a student-centered task-based problem-based learning (PBL) approach, a digital technology-supported approach and more. It also reports on how, when teaching and learning culture, teachers’ professional identity and the informal teaching and learning environment impact the teaching and learning of culture in different educational settings from primary school to university. A central theme in the book is the power of context. The studies illustrate in multiple ways, and from different angles, that “culture is not taught in a vacuum or learned in isolation”, but may be influenced by many factors both inside and outside the classroom; at the same time, culture also influences the context of the learning. The context may be “invisible” and hide itself as tacit knowledge or embedded values, or it may be very visible and present itself as a fixed curriculum or an established tradition. No matter what forms and shapes the context takes, the studies in this book strongly indicate that it is essential to be aware of the power of context in teaching and learning culture in order to understand it and negotiate it. This book suggests that teachers should not try to limit or avoid contextual influences, but instead, should explore how the context may be integrated into and used constructively in the teaching and learning of culture. This allowance of context in the classroom will allow for teachers, students, subjects and contexts to enter into a dialogue and negotiation of meaning that will enrich each other and achieve the established goal – acquisition of cultural awareness and intercultural understanding. |
| controversial topics computer science: Learning Networks Linda Marie Harasim, 1995 The field; Learning networks: an introduction; Networks for schools: exemplars and experiences; Networks for higher education, training, and informal learning: exemplares and experiences; The guide; Designs for learning networks; Getting started: the implementation process; Teaching online; Learning online; Problems in paradise: expect the best, prepare for the worst; The future; New directions; Network learning: a paradign for the twenty-first century; Epilogue: email from the future; Appendixes; Indice. |
| controversial topics computer science: The Wiley Handbook of Social Studies Research Meghan McGlinn Manfra, Cheryl Mason Bolick, 2017-04-10 The Wiley Handbook of Social Studies Research is a wide-ranging resource on the current state of social studies education. This timely work not only reflects on the many recent developments in the field, but also explores emerging trends. This is the first major reference work on social studies education and research in a decade An in-depth look at the current state of social studies education and emerging trends Three sections cover: foundations of social studies research, theoretical and methodological frameworks guiding social studies research, and current trends and research related to teaching and learning social studies A state-of-the-art guide for both graduate students and established researchers Guided by an advisory board of well-respected scholars in social studies education research |
| controversial topics computer science: Many Sides Alfred Snider, Maxwell Schnurer, 2002 This book is an all-in-one introduction to both the theory and practice of democracy, aimed at upper level high school and university students and civic-minded adults in both old and new democracies. Portions of the book are from the Democracy is a Discussion handbooks. |
| controversial topics computer science: The Equation of Knowledge Lê Nguyên Hoang, 2020-06-18 The Equation of Knowledge: From Bayes' Rule to a Unified Philosophy of Science introduces readers to the Bayesian approach to science: teasing out the link between probability and knowledge. The author strives to make this book accessible to a very broad audience, suitable for professionals, students, and academics, as well as the enthusiastic amateur scientist/mathematician. This book also shows how Bayesianism sheds new light on nearly all areas of knowledge, from philosophy to mathematics, science and engineering, but also law, politics and everyday decision-making. Bayesian thinking is an important topic for research, which has seen dramatic progress in the recent years, and has a significant role to play in the understanding and development of AI and Machine Learning, among many other things. This book seeks to act as a tool for proselytising the benefits and limits of Bayesianism to a wider public. Features Presents the Bayesian approach as a unifying scientific method for a wide range of topics Suitable for a broad audience, including professionals, students, and academics Provides a more accessible, philosophical introduction to the subject that is offered elsewhere |
| controversial topics computer science: Advances in Computer Entertainment Technology Adrian David Cheok, Masahiko Inami, Teresa Romão, 2018-03-02 This book constitutes the refereed conference proceedings of the 14th International Conference on Advances in Computer Entertainment Technology, ACE 2017, held in London, UK, in December 2017. The 59 full papers presented were selected from a total of 229 submissions. ACE is by nature a multi-disciplinary conference, therefore attracting people across a wide spectrum of interests and disciplines including computer science, design, arts, sociology, anthropology, psychology, and marketing. The main goal is to stimulate discussion in the development of new and compelling entertainment computing and interactive art concepts and applications. The chapter 'eSport vs irlSport' is open access under a CC BY 4.0 license via link.springer.com. |
| controversial topics computer science: Natural Language Processing and Chinese Computing Lu Wang, Yansong Feng, Yu Hong, Ruifang He, 2021-10-09 This two-volume set of LNAI 13028 and LNAI 13029 constitutes the refereed proceedings of the 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021, held in Qingdao, China, in October 2021. The 66 full papers, 23 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 446 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability. |
CONTROVERSIAL Definition & Meaning - Merriam-Webster
The meaning of CONTROVERSIAL is of, relating to, or arousing controversy. How to use controversial in a sentence.
CONTROVERSIAL | English meaning - Cambridge Dictionary
They hold widely divergent opinions on controversial issues like abortion. Eugenics was the central, and most controversial, part of his social philosophy. The official censors have …
CONTROVERSIAL Definition & Meaning | Dictionary.com
Controversial definition: of, relating to, or characteristic of controversy, or prolonged public dispute, debate, or contention; polemical.. See examples of CONTROVERSIAL used in a sentence.
CONTROVERSIAL definition and meaning | Collins English Dictionary
If you describe something or someone as controversial, you mean that they are the subject of intense public argument, disagreement, or disapproval. Immigration is a controversial issue in many countries. When it was first suggested that …
Controversial - Definition, Meaning & Synonyms | Vocabulary.com
adjective marked by or capable of arousing controversy “the issue of the death penalty is highly controversial ” “Rushdie's controversial book” “a controversial decision on affirmative action” synonyms: arguable, debatable, disputable, moot
CONTROVERSIAL Definition & Meaning - Merriam-Webster
The meaning of CONTROVERSIAL is of, relating to, or arousing controversy. How to use controversial in a sentence.
CONTROVERSIAL | English meaning - Cambridge Dictionary
They hold widely divergent opinions on controversial issues like abortion. Eugenics was the central, and most controversial, part of his social philosophy. The official censors have excised the …
CONTROVERSIAL Definition & Meaning | Dictionary.com
Controversial definition: of, relating to, or characteristic of controversy, or prolonged public dispute, debate, or contention; polemical.. See examples of CONTROVERSIAL used in a sentence.
CONTROVERSIAL definition and meaning | Collins English …
If you describe something or someone as controversial, you mean that they are the subject of intense public argument, disagreement, or disapproval. Immigration is a controversial issue in …
Controversial - Definition, Meaning & Synonyms | Vocabulary.com
adjective marked by or capable of arousing controversy “the issue of the death penalty is highly controversial ” “Rushdie's controversial book” “a controversial decision on affirmative action” …
controversial adjective - Definition, pictures, pronunciation and …
Definition of controversial adjective from the Oxford Advanced Learner's Dictionary. causing a lot of angry public discussion and disagreement. A controversial plan to build a new road has met with …
controversial - Wiktionary, the free dictionary
Apr 9, 2025 · Engaging in or given to controversy; disputatious, argumentative. Nouns often used with "controversial" ± arousing controversy. (now rare) Someone or something (such as a matter …
Controversial - definition of controversial by The Free Dictionary
1. Of, producing, or marked by controversy: a controversial movie; a controversial stand on human rights. 2. Fond of controversy; disputatious.
What does controversial mean? - Definitions.net
Controversial refers to something that elicits intense disagreement, debate, or differing opinions among individuals or groups. It often involves controversial topics or issues that provoke strong …
Controversial Definition & Meaning | YourDictionary
Of, producing, or marked by controversy. A controversial movie; a controversial stand on human rights.
