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| computer science fun facts: Encyclopedia of Computer Science and Technology Phillip A. Laplante, 2017-10-02 With breadth and depth of coverage, the Encyclopedia of Computer Science and Technology, Second Edition has a multi-disciplinary scope, drawing together comprehensive coverage of the inter-related aspects of computer science and technology. The topics covered in this encyclopedia include: General and reference Hardware Computer systems organization Networks Software and its engineering Theory of computation Mathematics of computing Information systems Security and privacy Human-centered computing Computing methodologies Applied computing Professional issues Leading figures in the history of computer science The encyclopedia is structured according to the ACM Computing Classification System (CCS), first published in 1988 but subsequently revised in 2012. This classification system is the most comprehensive and is considered the de facto ontological framework for the computing field. The encyclopedia brings together the information and historical context that students, practicing professionals, researchers, and academicians need to have a strong and solid foundation in all aspects of computer science and technology. |
| computer science fun facts: The Facts on File Dictionary of Computer Science Edmund Wright, 2014-05-14 Defines more than 2,400 terms and phrases related to computers, programming, data processing, and the Internet. |
| computer science fun facts: Computer Science and Educational Software Design Pierre Tchounikine, 2011-06-27 Developing educational software requires thinking, problematizing, representing, modeling, implementing and analyzing pedagogical objectives and issues, as well as conceptual models and software architectures. Computer scientists face the difficulty of understanding the particular issues and phenomena to be taken into account in educational software projects and of avoiding a naïve technocentered perspective. On the other hand, actors with backgrounds in human or social sciences face the difficulty of understanding software design and implementation issues, and how computer scientists engage in these tasks. Tchounikine argues that these difficulties cannot be solved by building a kind of “general theory” or “general engineering methodology” to be adopted by all actors for all projects: educational software projects may correspond to very different realities, and may be conducted within very different perspectives and with very different matters of concern. Thus the issue of understanding each others’ perspectives and elaborating some common ground is to be considered in context, within the considered project or perspective. To this end, he provides the reader with a framework and means for actively taking into account the relationships between pedagogical settings and software, and for working together in a multidisciplinary way to develop educational software. His book is for actors engaged in research or development projects which require inventing, designing, adapting, implementing or analyzing educational software. The core audience is Master’s and PhD students, researchers and engineers from computer science or human and social sciences (e.g., education, psychology, pedagogy, philosophy, communications or sociology) interested in the issues raised by educational software design and analysis and in the variety of perspectives that may be adopted. |
| computer science fun facts: Facts and Fallacies of Software Engineering Robert L. Glass, 2003 Regarding the controversial and thought-provoking assessments in this handbook, many software professionals might disagree with the authors, but all will embrace the debate. Glass identifies many of the key problems hampering success in this field. Each fact is supported by insightful discussion and detailed references. |
| computer science fun facts: Computer Science National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on the Fundamentals of Computer Science: Challenges and Opportunities, 2004-10-06 Computer Science: Reflections on the Field, Reflections from the Field provides a concise characterization of key ideas that lie at the core of computer science (CS) research. The book offers a description of CS research recognizing the richness and diversity of the field. It brings together two dozen essays on diverse aspects of CS research, their motivation and results. By describing in accessible form computer science's intellectual character, and by conveying a sense of its vibrancy through a set of examples, the book aims to prepare readers for what the future might hold and help to inspire CS researchers in its creation. |
| computer science fun facts: Computer Science Distilled Wladston Ferreira Filho, 2017-01-17 A walkthrough of computer science concepts you must know. Designed for readers who don't care for academic formalities, it's a fast and easy computer science guide. It teaches the foundations you need to program computers effectively. After a simple introduction to discrete math, it presents common algorithms and data structures. It also outlines the principles that make computers and programming languages work. |
| computer science fun facts: 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. |
| computer science fun facts: Historically Black Colleges and Universities Fact Book: Public colleges , 1983 |
| computer science fun facts: Computer Science with Python Reeta Sahoo, Gagan Sahoo, A series of Book of Computers . The ebook version does not contain CD. |
| computer science fun facts: Computer Science with C++ Reeta Sahoo, Gagan Sahoo, A series of Book of Computers . The ebook version does not contain CD. |
| computer science fun facts: SOFSEM 2012: Theory and Practice of Computer Science Mária Bieliková, Gerhard Friedrich, Georg Gottlob, Stefan Katzenbeisser, György Turán, 2012-01-09 This book constitutes the refereed proceedings of the 38th Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2012, held in Špindlerův Mlýn, Czech Republic, in January 2012. The 43 revised papers presented in this volume were carefully reviewed and selected from 121 submissions. The book also contains 11 invited talks, 10 of which are in full-paper length. The contributions are organized in topical sections named: foundations of computer science; software and Web engineering; cryptography, security, and verification; and artificial intelligence. |
| computer science fun facts: Computer Science and Informatics , 1986 |
| computer science fun facts: Encyclopedia of Computer Science and Technology Allen Kent, James G. Williams, 1994-08-31 This comprehensive reference work provides immediate, fingertip access to state-of-the-art technology in nearly 700 self-contained articles written by over 900 international authorities. Each article in the Encyclopedia features current developments and trends in computers, software, vendors, and applications...extensive bibliographies of leading figures in the field, such as Samuel Alexander, John von Neumann, and Norbert Wiener...and in-depth analysis of future directions. |
| computer science fun facts: The Magic of Computer Science Donald Kossmann, 2021-05-10 We are living in the era of digital transformation. Computers are rapidly becoming the most important tool for companies, science, society, and indeed our everyday life. We all need a basic understanding of Computer Science to make sense of the world, to make decisions, and to improve our lives. Yet there are many misunderstandings about Computer Science. The reason is that it is a nascent discipline that has evolved rapidly and had to reinvent itself several times over the last 100 years – from the beginnings of scientific computing to the modern era of smartphones and the cloud. This book gives an intuitive introduction to the foundations and main concepts of Computer Science. It describes the basic ideas of solving problems with algorithms, modern data-driven approaches, and artificial intelligence (AI). It also provides many examples that require no background in technology. This book is directed toward teenagers who may wonder whether they should major in Computer Science, though it will also appeal to anyone who wants to immerse themselves in the art of Computer Science and modern information technology. Of course, not everyone must become a computer expert, but everyone should take advantage of and understand the innovations and advances of modern technology. |
| computer science fun facts: Computerization and Work Ulrich Briefs, John Kjaer, Jean-Louis Rigal, 2012-12-06 This reader contains contributions referring to one of the most urgent problems in systems design: the effects of computerization on human work and approaches to ameliorate systems design in order to create better conditions for living human work in a computerized world. Of course the choice of papers has been operated somewhat arbitrarily. It primarily reflects the work of IFIP's Working Group 9.1. Compu ters and Work and of some of its members. The papers were compiled aiming at focussing on very material pro blems in the field of Computers and Work. They substantively re flect in several points the discussions and the concern of the Wor king Group. Some conclusions from a series of workshops held from 1980 onward by the Working Group are likewise contained and directed to the IFIP community and to other parties concerned. The reader inserts itself into a rather extended line of activities of the Working Group: in addition to contributions to the two IFIP Working Conferences on Human Choice and Computers held in 1974 and in 1979 (proceedings published by North Holland) a recent IFIP Wor king Conference on Systems Design For, With and By the Users (held in September 82, proceedings published in March 83 by North Holland) and a joint TC3/TC9 Working Conference on Education for Systems De signer/User Co-operation (proceedings to be published by end 84). |
| computer science fun facts: Efficient Solvers for Incompressible Flow Problems Stefan Turek, 2012-12-06 A discussion of recent numerical and algorithmic tools for the solution of certain flow problems arising in CFD, which are governed by the incompressible Navier-Stokes equations. The book contains the latest results for the numerical solution of (complex) flow problems on modern computer platforms, with particular emphasis on the solution process of the resulting high dimensional discrete systems of equations which is often neglected in other works. Together with the accompanying CD ROM containing the complete FEATFLOW 1.1 software and parts of the Virtual Album of Fluid Motion, readers are able to perform their own numerical simulations and will find numerous suggestions for improving their own computational simulations. |
| computer science fun facts: CAAD futures 1997 Richard Junge, 2012-12-06 Since the establishment of the CAAD futures Foundation in 1985 CAAD experts from all over the world meet every two years to present and at the same time document the state of art of research in Computer Aided Architectural Design. The history of CAAD futures started in the Netherlands at the Technical Universities of Eindhoven and Delft, where the CAAD futures Foundation came into being. Then CAAD futures crossed the oceans for the first time, the third CAAD futures in 1989 was held at Harvard University. Next stations in the evolution were in 1991 Swiss Federal Institute of Technology, the ETC, Zürich. In 1993 the conference was organized by Carnegie Mellon University, Pittsburgh and in 1995 by National University, Singapore, CAAD futures 1995 marked the world wide nature by organizing it for the first time in Asia. Proceedings of CAAD futures held biannually provide a complete review of the state of research in Computer Aided Architectural Design. |
| computer science fun facts: Virtual Communion Katherine G. Schmidt, 2020-05-22 Virtual Communion: Theology of the Internet and the Catholic Sacramental Imagination provides a theological account of the internet from a Catholic perspective. It engages digital culture by providing a context for media and mediation within the Catholic tradition, specifically focusing on the ecclesiology and sacramentality of the church. Katherine G. Schmidt argues that the Catholic imagination is inherently consonant with the idea of the “virtual,” understood as the creative space between presence and absence, bringing the fields of media studies, internet studies, sociology, history, and theology together in order to give a theological account of the social realities of American Catholicism in light of digital culture. Overall, Schmidt argues that the social possibilities of the internet afford the church great opportunity for building a social context that allows the living out of Eucharistic logic learned in properly liturgical moments. |
| computer science fun facts: Disinformation in Open Online Media Davide Ceolin, Tommaso Caselli, Marina Tulin, 2023-12-15 This book constitutes the refereed proceedings of the 5th Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2023, which was held in Amsterdam, The Netherlands, during November 21–22, 2023. The 13 full papers presented in this book were carefully reviewed and selected from 19 submissions. The papers focus on misinformation, disinformation, hate speech, disinformation campaigns, social network analysis, large language models, generative AI, and multi-modal embeddings. |
| computer science fun facts: Astronaut Fact Book , 1992 |
| computer science fun facts: Get Set for Computer Science Alistair Edwards, 2006-02-17 This book is aimed at students who are thinking of studying Computer Science or a related topic at university. Part One is a brief introduction to the topics that make up Computer Science, some of which you would expect to find as course modules in a Computer Science programme. These descriptions should help you to tell the difference between Computer Science as taught in different departments and so help you to choose a course that best suits you. Part Two builds on what you have learned about the nature of Computer Science by giving you guidance in choosing universities and making your applications to them. Then Part Three gives you some advice on what to do once you get to university, how to get the most out of studying your Computer Science degree. The principal objective of the book is to produce happy students, students who know what they are letting themselves in for when they start a Computer Science course, and hence find themselves very well suited for the course they choose. |
| computer science fun facts: What Can Be Computed? John MacCormick, 2018-05-01 An accessible and rigorous textbook for introducing undergraduates to computer science theory What Can Be Computed? is a uniquely accessible yet rigorous introduction to the most profound ideas at the heart of computer science. Crafted specifically for undergraduates who are studying the subject for the first time, and requiring minimal prerequisites, the book focuses on the essential fundamentals of computer science theory and features a practical approach that uses real computer programs (Python and Java) and encourages active experimentation. It is also ideal for self-study and reference. The book covers the standard topics in the theory of computation, including Turing machines and finite automata, universal computation, nondeterminism, Turing and Karp reductions, undecidability, time-complexity classes such as P and NP, and NP-completeness, including the Cook-Levin Theorem. But the book also provides a broader view of computer science and its historical development, with discussions of Turing's original 1936 computing machines, the connections between undecidability and Gödel's incompleteness theorem, and Karp's famous set of twenty-one NP-complete problems. Throughout, the book recasts traditional computer science concepts by considering how computer programs are used to solve real problems. Standard theorems are stated and proven with full mathematical rigor, but motivation and understanding are enhanced by considering concrete implementations. The book's examples and other content allow readers to view demonstrations of—and to experiment with—a wide selection of the topics it covers. The result is an ideal text for an introduction to the theory of computation. An accessible and rigorous introduction to the essential fundamentals of computer science theory, written specifically for undergraduates taking introduction to the theory of computation Features a practical, interactive approach using real computer programs (Python in the text, with forthcoming Java alternatives online) to enhance motivation and understanding Gives equal emphasis to computability and complexity Includes special topics that demonstrate the profound nature of key ideas in the theory of computation Lecture slides and Python programs are available at whatcanbecomputed.com |
| computer science fun facts: Analog Science Fiction/science Fact , 1982 |
| computer science fun facts: Defining a Decade National Research Council, Computer Science and Telecommunications Board, 1997-10-09 |
| computer science fun facts: From an Idea to Google Lowey Bundy Sichol, 2019 Presents the history of the founding of Google and the development of its search engine, the innovations and acquisitions it made after the firm went public, and how it is preparing for future expansion and new capabilities. |
| computer science fun facts: Philosophy of Computer Science William J. Rapaport, 2023-03-21 A unique resource exploring the nature of computers and computing, and their relationships to the world. Philosophy of Computer Science is a university-level textbook designed to guide readers through an array of topics at the intersection of philosophy and computer science. Accessible to students from either discipline, or complete beginners to both, the text brings readers up to speed on a conversation about these issues, so that they can read the literature for themselves, form their own reasoned opinions, and become part of the conversation by contributing their own views. Written by a highly qualified author in the field, the book looks at some of the central questions in the philosophy of computer science, including: What is philosophy? (for readers who might be unfamiliar with it) What is computer science and its relationship to science and to engineering? What are computers, computing, algorithms, and programs?(Includes a line-by-line reading of portions of Turing’s classic 1936 paper that introduced Turing Machines, as well as discussion of the Church-Turing Computability Thesis and hypercomputation challenges to it) How do computers and computation relate to the physical world? What is artificial intelligence, and should we build AIs? Should we trust decisions made by computers? A companion website contains annotated suggestions for further reading and an instructor’s manual. Philosophy of Computer Science is a must-have for philosophy students, computer scientists, and general readers who want to think philosophically about computer science. |
| computer science fun facts: Advances in Computer Science - ASIAN 2004, Higher Level Decision Making Michael J. Maher, 2004-12-02 |
| computer science fun facts: US Department of State Dispatch , 1994 |
| computer science fun facts: Annual Report for Fiscal Year ... National Science Foundation (U.S.), 1982 |
| computer science fun facts: Natural Language Computing Ray C. Dougherty, 2013-03-07 This book's main goal is to show readers how to use the linguistic theory of Noam Chomsky, called Universal Grammar, to represent English, French, and German on a computer using the Prolog computer language. In so doing, it presents a follow-the-dots approach to natural language processing, linguistic theory, artificial intelligence, and expert systems. The basic idea is to introduce meaningful answers to significant problems involved in representing human language data on a computer. |
| computer science fun facts: Code Charles Petzold, 2022-08-02 The classic guide to how computers work, updated with new chapters and interactive graphics For me, Code was a revelation. It was the first book about programming that spoke to me. It started with a story, and it built up, layer by layer, analogy by analogy, until I understood not just the Code, but the System. Code is a book that is as much about Systems Thinking and abstractions as it is about code and programming. Code teaches us how many unseen layers there are between the computer systems that we as users look at every day and the magical silicon rocks that we infused with lightning and taught to think. - Scott Hanselman, Partner Program Director, Microsoft, and host of Hanselminutes Computers are everywhere, most obviously in our laptops and smartphones, but also our cars, televisions, microwave ovens, alarm clocks, robot vacuum cleaners, and other smart appliances. Have you ever wondered what goes on inside these devices to make our lives easier but occasionally more infuriating? For more than 20 years, readers have delighted in Charles Petzold's illuminating story of the secret inner life of computers, and now he has revised it for this new age of computing. Cleverly illustrated and easy to understand, this is the book that cracks the mystery. You'll discover what flashlights, black cats, seesaws, and the ride of Paul Revere can teach you about computing, and how human ingenuity and our compulsion to communicate have shaped every electronic device we use. This new expanded edition explores more deeply the bit-by-bit and gate-by-gate construction of the heart of every smart device, the central processing unit that combines the simplest of basic operations to perform the most complex of feats. Petzold's companion website, CodeHiddenLanguage.com, uses animated graphics of key circuits in the book to make computers even easier to comprehend. In addition to substantially revised and updated content, new chapters include: Chapter 18: Let's Build a Clock! Chapter 21: The Arithmetic Logic Unit Chapter 22: Registers and Busses Chapter 23: CPU Control Signals Chapter 24: Jumps, Loops, and Calls Chapter 28: The World Brain From the simple ticking of clocks to the worldwide hum of the internet, Code reveals the essence of the digital revolution. |
| computer science fun facts: New York Court of Appeals. Records and Briefs. New York (State)., |
| computer science fun facts: SOFSEM 2005: Theory and Practice of Computer Science Maria Bieliková, Charon-Bost, Ondrej Sýkora, Peter Vojtás, 2004-12-27 This volume contains papers selected for presentation at the 31st Annual C- ference on Current Trends in Theory and Practice of Informatics – SOFSEM 2005, held on January 22–28, 2005 in LiptovskyJ ́ an, ́ Slovakia. The series of SOFSEM conferences, organized alternately in the Czech - public and Slovakia since 1974, has a well-established tradition. The SOFSEM conferences were originally intended to break the Iron Curtain in scienti?c - change. After the velvet revolution SOFSEM changed to a regular broad-scope international conference. Nowadays, SOFSEM is focused each year on selected aspects of informatics. This year the conference was organized into four tracks, each of them complemented by two invited talks: – Foundations of Computer Science (Track Chair: Bernadette Charron-Bost) – Modeling and Searching Data in the Web-Era (Track Chair: Peter Vojt ́ a? s) – Software Engineering (Track Chair: M ́ aria Bielikova) ́ – Graph Drawing (Track Chair: Ondrej Syk ́ ora) The aim of SOFSEM 2005 was, as always, to promote cooperation among professionalsfromacademiaandindustryworkinginvariousareasofinformatics. Each track was complemented by two invited talks. The SOFSEM 2005 Program Committee members coming from 13 countries evaluated 144 submissions (128 contributed papers and 16 student research - rum papers). After a careful review process (counting at least 3 reviews per paper), followed by detailed discussions in the PC, and a co-chairs meeting held on October 8, 2005 in Bratislava, Slovakia, 44 papers (overall acceptance rate 34. |
| computer science fun facts: Advances in Computer Science for Engineering and Education VI Zhengbing Hu, Ivan Dychka, Matthew He, 2023-08-18 This book contains high-quality refereed research papers presented at the 6th International Conference on Computer Science, Engineering, and Education Applications (ICCSEEA2023), which took place in Warsaw, Poland, on March 17–19, 2023, and was organized by the National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute”, the National Aviation University, Lviv Polytechnic National University, the Polish Operational and Systems Society, Warsaw University of Technology, and the International Research Association of Modern Education and Computer Science. The book covers a variety of topics, including cutting-edge research in computer science, artificial intelligence, engineering techniques, smart logistics, and knowledge representation with educational applications. The book is an invaluable resource for academics, graduate students, engineers, management professionals, and undergraduate students who are interested in computer science and its applications in engineering and education. |
| computer science fun facts: Mills V. Health Care Service Corporation , 1998 |
| computer science fun facts: The Future of Computer Science Research in the U.S. United States. Congress. House. Committee on Science, 2005 |
| computer science fun facts: Analog Science Fiction & Fact , 2007 |
| computer science fun facts: Occupational Compensation Survey--pay and Benefits , 1992 |
| computer science fun facts: Classic Computer Science Problems in Java David Kopec, 2020-12-21 Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. Summary Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You’ll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your new problems! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Whatever software development problem you’re facing, odds are someone has already uncovered a solution. This book collects the most useful solutions devised, guiding you through a variety of challenges and tried-and-true problem-solving techniques. The principles and algorithms presented here are guaranteed to save you countless hours in project after project. About the book Classic Computer Science Problems in Java is a master class in computer programming designed around 55 exercises that have been used in computer science classrooms for years. You’ll work through hands-on examples as you explore core algorithms, constraint problems, AI applications, and much more. What's inside Recursion, memoization, and bit manipulation Search, graph, and genetic algorithms Constraint-satisfaction problems K-means clustering, neural networks, and adversarial search About the reader For intermediate Java programmers. About the author David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. Table of Contents 1 Small problems 2 Search problems 3 Constraint-satisfaction problems 4 Graph problems 5 Genetic algorithms 6 K-means clustering 7 Fairly simple neural networks 8 Adversarial search 9 Miscellaneous problems 10 Interview with Brian Goetz |
| computer science fun facts: Automated Reasoning with Analytic Tableaux and Related Methods Harrie de Swart, 2003-06-26 This book constitutes the refereed proceedings of the 1998 International Conference on Analytic Tableaux and Related Methods, TABLEAUX'98, held in Oisterwijk near Tilburg, The Netherlands, in May 1998. The volume presents 17 revised full papers and three system descriptions selected from 34 submissions; also included are several abstracts of invited lectures, tutorials, and system comparison papers. The book presents new research results for automated deduction in various non-standard logics as well as in classical logic. Areas of application include software verification, systems verification, deductive databases, knowledge representation and its required inference engines, and system diagnosis. |
Computer - Wikipedia
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A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern …
Computer | Definition, History, Operating Systems, & Facts
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