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Computers in the Composition Classroom: A Critical Sourcebook
by Michelle Sidler Richard Morris Elizabeth Simpson SmithA textbook for composition teachers, examining technology and literature in a digital environment
Computers, People, and Thought: From Data Mining to Evolutionary Robotics
by Malachy EatonIn this book the author discusses synergies between computers and thought, related to the field of Artificial Intelligence; between people and thought, leading to questions of consciousness and our existence as humans; and between computers and people, leading to the recent remarkable advances in the field of humanoid robots. He then looks toward the implications of intelligent 'conscious' humanoid robots with superior intellects, able to operate in our human environments. After presenting the basic engineering components and supporting logic of computer systems, and giving an overview of the contributions of pioneering scientists in the domains of computing, logic, and robotics, in the core of the book the author examines the meaning of thought and intelligence in the context of specific tasks and successful AI approaches. In the final part of the book he introduces related societal and ethical implications.The book will be a useful accompanying text in courses on artificial intelligence, robotics, intelligent systems, games, and evolutionary computing. It will also be valuable for general readers and historians of technology.
Computers Supported Education: 9th International Conference, CSEDU 2017, Porto, Portugal, April 21-23, 2017, Revised Selected Papers (Communications in Computer and Information Science #865)
by Paula Escudeiro Gennaro Costagliola Susan Zvacek James Uhomoibhi Bruce M. McLarenThis book constitutes the thoroughly refereed proceedings of the 9th International Conference on Computer Supported Education, CSEDU 2017, held in Porto, Portugal, in April 2017. The 22 revised full papers were carefully reviewed and selected from 179 submissions. The papers deal with the following topics: new educational environments, best practices and case studies of innovative technology-based learning strategies, institutional policies on computer-supported education including open and distance education.
Computers Supported Education: 8th International Conference, CSEDU 2016, Rome, Italy, April 21-23, 2016, Revised Selected Papers (Communications in Computer and Information Science #739)
by Susan Zvacek James Uhomoibhi Gennaro Costagliola Bruce M. MclarenThis book constitutes the thoroughly refereed proceedings of the 8th International Conference on Computer Supported Education, CSEDU 2016, held in Rome, Italy, in April 2016. The 29 revised full papers were carefully reviewed and selected from 164 submissions. The papers deal with the following topics: new educational environments, best practices and case studies of innovative technology-based learning strategies, institutional policies on computer-supported education including open and distance education.
Computers, Teachers, Peers: Science Learning Partners
by Marcia C. Linn Sherry HsiLinn and Hsi show how computers, teachers, and peers can serve as learning partners--helping students build on their ideas and become lifelong science learners. They invite everyone interested in improving science education to build on their experiences, share insights on the Internet, and create instruction. Computers, Teachers, Peers: * offers case studies to bring the ideas of students learning science to life. *Join Sasha, Chris, Pat, and Lee as they try to make sense of experiments using computers to display data in real time;* * provides principles to help teachers improve their instruction, use technology better, and inspire more students to love science. *Find out how to use visualization tools, online discussion, and more to make science relevant;* * gives researchers and instructional designers a model for effective research and curriculum design. *Linn and Hsi report that the partnership approach to research resulted in a 400% increase in student understanding of science;* * helps schools develop technology plans that continuously improve science instruction. *Find out how schools can design better ways to use technology for learning;* * describes a partnership inquiry process where science teachers, science education researchers, discipline specialists, and technologists consider each others' perspectives and jointly design instruction. *Boys and girls are equally successful in the resulting science courses;* and * features practical tools for learning and instruction, including "Points to Ponder"--to encourage reflection on the ideas in each chapter (partnership groups or classes might use the points as discussion starters or assignments), and "Ask Mr. K."--an interview, in each chapter, with the classroom teacher who was a founding member of the CLP partnership (in these interviews Mr. K. adds insights from his own classroom experiences). This book is supplemented by a CD-ROM (included in each copy) and a Web site (www.clp.berkeley.edu) with the Computers as Learning Partners curriculum, lesson plans, a Quicktime virtual reality visit to the classroom, copies of assessments, opportunities to join partnerships, and more. For readers who wish for more information, Related Readings are cited, including works by authors mentioned in each chapter. Additional works by other authors who inspired the authors appear in the bibliography, on the website, and on the CD-ROM. An annotated bibliography of papers by the members of the CLP partnership also appears at the website and on the CD-ROM.
Computing: A Concise History (The MIT Press Essential Knowledge series)
by Paul E. CeruzziA compact and accessible history, from punch cards and calculators to UNIVAC and ENIAC, the personal computer, Silicon Valley, and the Internet.The history of computing could be told as the story of hardware and software, or the story of the Internet, or the story of “smart” hand-held devices, with subplots involving IBM, Microsoft, Apple, Facebook, and Twitter. In this concise and accessible account of the invention and development of digital technology, computer historian Paul Ceruzzi offers a broader and more useful perspective. He identifies four major threads that run throughout all of computing's technological development: digitization—the coding of information, computation, and control in binary form, ones and zeros; the convergence of multiple streams of techniques, devices, and machines, yielding more than the sum of their parts; the steady advance of electronic technology, as characterized famously by “Moore's Law”; and the human-machine interface.Ceruzzi guides us through computing history, telling how a Bell Labs mathematician coined the word “digital” in 1942 (to describe a high-speed method of calculating used in anti-aircraft devices), and recounting the development of the punch card (for use in the 1890 U.S. Census). He describes the ENIAC, built for scientific and military applications; the UNIVAC, the first general purpose computer; and ARPANET, the Internet's precursor. Ceruzzi's account traces the world-changing evolution of the computer from a room-size ensemble of machinery to a “minicomputer” to a desktop computer to a pocket-sized smart phone. He describes the development of the silicon chip, which could store ever-increasing amounts of data and enabled ever-decreasing device size. He visits that hotbed of innovation, Silicon Valley, and brings the story up to the present with the Internet, the World Wide Web, and social networking.
Computing
by Paul E. CeruzziThe history of computing could be told as the story of hardware and software, or the story of the Internet, or the story of "smart" hand-held devices, with subplots involving IBM, Microsoft, Apple, Facebook, and Twitter. In this concise and accessible account of the invention and development of digital technology, computer historian Paul Ceruzzi offers a broader and more useful perspective. He identifies four major threads that run throughout all of computing's technological development: digitization--the coding of information, computation, and control in binary form, ones and zeros; the convergence of multiple streams of techniques, devices, and machines, yielding more than the sum of their parts; the steady advance of electronic technology, as characterized famously by "Moore's Law"; and the human-machine interface. Ceruzzi guides us through computing history, telling how a Bell Labs mathematician coined the word "digital" in 1942 (to describe a high-speed method of calculating used in anti-aircraft devices), and recounting the development of the punch card (for use in the 1890 U. S. Census). He describes the ENIAC, built for scientific and military applications; the UNIVAC, the first general purpose computer; and ARPANET, the Internet's precursor. Ceruzzi's account traces the world-changing evolution of the computer from a room-size ensemble of machinery to a "minicomputer" to a desktop computer to a pocket-sized smart phone. He describes the development of the silicon chip, which could store ever-increasing amounts of data and enabled ever-decreasing device size. He visits that hotbed of innovation, Silicon Valley, and brings the story up to the present with the Internet, the World Wide Web, and social networking.
Computing Algorithms with Applications in Engineering: Proceedings of ICCAEEE 2019 (Algorithms for Intelligent Systems)
by Nishchal K. Verma V. P. Singh V. K. Giri R. K. PatelThis book collects high-quality research papers presented at the International Conference on Computing Applications in Electrical & Electronics Engineering, held at Rajkiya Engineering College, Sonbhadra, India, on August 30–31, 2019. It provides novel contributions in computational intelligence, together with valuable reference material for future research. The topics covered include: big data analytics, IoT and smart infrastructures, machine learning, artificial intelligence and deep learning, crowd sourcing and social intelligence, natural language processing, business intelligence, high-performance computing, wireless, mobile and green communications, ad-hoc, sensor and mesh networks, SDN and network virtualization, cognitive systems, swarm intelligence, human–computer interaction, network and information security, intelligent control, soft computing, networked control systems, renewable energy sources and technologies, biomedical signal processing, pattern recognition and object tracking, and sensor devices and applications.
Computing and Digital Learning for Primary Teachers
by Owen DobbingWhether they are new or experienced, teachers are expected to plan and deliver high-quality computing lessons to their pupils. Computing and Digital Learning for Primary Teachers provides an accessible introduction to teaching computing effectively and for deeper understanding in the primary classroom.Filled with practical resources to support lesson design, long-term planning, and assessment, readers will benefit from building their subject knowledge and learning to create engaging lessons for their pupils. Chapters explore: Supporting computational thinking and problem-solving to teach our pupils how to solve problems logically and systematically. Developing pupils’ digital literacy and use of IT, creating exciting opportunities for children’s digital self-expression through film, animation, and 3D design. Managing technology in our schools, such as setting up and maintaining a virtual learning environment (VLE). Cross-curriculum links with STEAM and engineering, allowing children to solve real-world problems by combining their digital literacy with their knowledge of maths, science, and technology. Cost-effective and accessible ways of introducing physical computing and robotics to children. Safe and responsible uses of artificial intelligence (AI) in our primary schools. This essential resource provides a highly practical guide to delivering effective computing lessons in the primary classroom and is a must read for anyone who wishes to become a more confident and knowledgeable computing teacher.
Computing and Machine Learning: Proceedings of CML 2024, Volume 1 (Lecture Notes in Networks and Systems #1108)
by Jagdish Chand Bansal Samarjeet Borah Shahid Hussain Said SalhiThis book features high-quality research papers presented at the International Conference on Computing and Machine Learning (CML 2024), organized by the Department of Computer Applications, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India during April 29–30, 2024. The book presents diverse range of topics, including machine learning algorithms and models, deep learning and neural networks, computer vision and image processing, natural language processing, robotics and automation, reinforcement learning, big data analytics, cloud computing, Internet of things, human–robot interaction, ethical and social implications of AI, applications in healthcare, finance, and industry, computer modeling, quantum computing, high-performance computing, cognitive and parallel computing, cloud computing, distributed computing, embedded computing, human-centered computing, and mobile computing.
Computing and Network Sustainability: Proceedings of IRSCNS 2018 (Lecture Notes in Networks and Systems #75)
by Nilanjan Dey Sheng-Lung Peng Mahesh BundeleThis book offers a compilation of technical papers presented at the International Research Symposium on Computing and Network Sustainability (IRSCNS 2018) held in Goa, India on 30–31st August 2018. It covers areas such as sustainable computing and security, sustainable systems and technologies, sustainable methodologies and applications, sustainable networks applications and solutions, user-centered services and systems and mobile data management. Presenting novel and recent technologies, it is a valuable resource for researchers and industry professionals alike.
Computing and Simulation for Engineers (ISSN)
by Ziya UddinThis book presents the reader with comprehensive insight into various kinds of mathematical modeling and numerical computation for problems arising in several branches of engineering, such as mechanical engineering, computer science engineering, electrical engineering, electronics and communication engineering, and civil engineering.The book: • Discusses topics related to clean and green energy production and storage • Bridges the gap between core theory and costly industrial experiments • Covers advanced biomechanics and nanodrug delivery topics • Explores diversified applications of mathematical techniques to solve practical engineering problems The text in this book emphasizes mathematical treatment of soft computing, image and signal processing, fluid flows in various geometries, biomechanics, biological modeling, a mathematical description of the solar cell, analytical and numerical treatment of problems in fracture mechanics, and antenna design modeling. It also discusses the numerical computations of biomechanics problems and problems arising in cryptography. The text further covers optimization techniques that are useful for real-world problems. This material is primarily written for graduate students and academic researchers in a number of engineering fields, including electrical, electronics and communication, industrial, manufacturing, mechanical, computer science, and mathematics.
Computing and Technology Ethics: Engaging through Science Fiction
by Emanuelle Burton Judy Goldsmith Nicholas Mattei Cory Siler Sara-Jo SwiatekA new approach to teaching computing and technology ethics using science fiction stories.Should autonomous weapons be legal? Will we be cared for by robots in our old age? Does the efficiency of online banking outweigh the risk of theft? From communication to travel to medical care, computing technologies have transformed our daily lives, for better and for worse. But how do we know when a new development comes at too high a cost? Using science fiction stories as case studies of ethical ambiguity, this engaging textbook offers a comprehensive introduction to ethical theory and its application to contemporary developments in technology and computer science. Computing and Technology Ethics: Engaging through Science Fiction first introduces the major ethical frameworks: deontology, utilitarianism, virtue ethics, communitarianism, and the modern responses of responsibility ethics, feminist ethics, and capability ethics. It then applies these frameworks to many of the modern issues arising in technology ethics including privacy, computing, and artificial intelligence. A corresponding anthology of science fiction brings these quandaries to life and challenges students to ask ethical questions of themselves and their work. Uses science fiction case studies to make ethics education engaging and fun Trains students to recognize, evaluate, and respond to ethical problems as they ariseFeatures anthology of short stories from internationally acclaimed writers including Ken Liu, Elizabeth Bear, Paolo Bacigalupi, and T. C. Boyle to animate ethical challenges in computing technology Written by interdisciplinary author team of computer scientists and ethical theoristsIncludes a robust suite of instructor resources, such as pedagogy guides, story frames, and reflection questions
Computing at the EDGE: New Challenges for Service Provision
by Georgios Karakonstantis Charles J. GillanThis book describes solutions to the problems of energy efficiency, resiliency and cyber security in the domain of Edge Computing and reports on early deployments of the technology in commercial settings. This book takes a business focused view, relating the technological outcomes to new business opportunities made possible by the edge paradigm. Drawing on the experience of end user deploying prototype edge technology, the authors discuss applications in financial management, wireless management, and social networks. Coverage includes a chapter on the analysis of total cost of ownership, thereby enabling readers to calculate the efficiency gain for use of the technology in their business.Provides a single-source reference to the state-of-the art of edge computing;Describes how researchers across the world are addressing challenges relating to power efficiency, ease of programming and emerging cyber security threats in this domain;Discusses total cost of ownership for applications in financial management and social networks;Discusses security challenges in wireless management.
Computing Colour Image Processing: Digital Colour Primer (SpringerBriefs in Applied Sciences and Technology)
by Alan ParkinThis book proposes a new approach to colour in digital images, based on the standard sRGB colour space and Python scripting. It covers creating, storing, processing, displaying, printing, and viewing colour images. The fundamental ideas presented include systematic reduction of colour resolution to manageable sRGB sub-spaces, analysis of any image as a tabular colour scheme, general transformation and specific substitution of colours, and revival of the traditional notion of a neutral balance by adjusting all colours or by adjoining a colour frame. The text includes Python scripts for the processes discussed, downloadable in the e-book. It is of interest to artists, designers, and anyone who works with sRGB colour images.
Computing, Communication and Signal Processing: Proceedings Of Iccasp 2018 (Advances In Intelligent Systems and Computing #810)
by Nagendra Prasad Pathak S. L. Nalbalwar Brijesh IyerThis book highlights cutting-edge research on various aspects of human–computer interaction (HCI). It includes selected research papers presented at the Third International Conference on Computing, Communication and Signal Processing (ICCASP 2018), organized by Dr. Babasaheb Ambedkar Technological University in Lonere-Raigad, India on January 26–27, 2018. It covers pioneering topics in the field of computer, electrical, and electronics engineering, e.g. signal and image processing, RF and microwave engineering, and emerging technologies such as IoT, cloud computing, HCI, and green computing. As such, the book offers a valuable guide for all scientists, engineers and research students in the areas of engineering and technology.
Computing for Data Analysis: Theory and Practices (Data-Intensive Research)
by Sanjay Chakraborty Lopamudra DeyThis book covers various cutting-edge computing technologies and their applications over data. It discusses in-depth knowledge on big data and cloud computing, quantum computing, cognitive computing, and computational biology with respect to different kinds of data analysis and applications. In this book, authors describe some interesting models in the cloud, quantum, cognitive, and computational biology domains that provide some useful impact on intelligent data (emotional, image, etc.) analysis. They also explain how these computing technologies based data analysis approaches used for various real-life applications. The book will be beneficial for readers working in this area.
Computing in Cause-Effect Structures (Lecture Notes in Networks and Systems #331)
by Ludwik CzajaThis book focuses on numerous examples of tasks represented by c-e structure. Cause–effect (c-e) structures are dynamic objects devised for algebraic and graphic description of realistic tasks. They constitute a formal system providing means to specify or implement (depending on degree of description generality) the tasks. They can be transformed, thus come under simplification, in accordance with rules-axioms of their algebra. Also, their properties can be inferred from the axioms. One objective of this book is presentation, by many realistic examples, of computing capability of c-e structures, without entering into mathematical details of their algebra. In particular, how computing with natural numbers and in propositional calculus can be performed by c-e structures and how to specify behavior of data structures. But also demonstration of many other tasks taken from the area of parallel processing, specified as c-e structures. Another objective is modelling or simulation by means of c-e structures, of other descriptive systems, devised for tasks from various fields. Also without formalizing by usage of functions between the systems. This concerns formalisms such as reaction systems, rough sets, Petri nets and CSP-like languages. Also on such, where temporal interdependence between actions matters. The presentation of examples is prevalently graphic, in the form of peculiar nets, but accompanied by their algebraic and set-theoretic expressions. A fairly complete exposition of concepts and properties of the algebra of cause-effect structures is in the previous book appeared in the Lecture Notes in Networks and Systems series. But basic notions of c-e structures are here provided for understanding the examples.
Computing in Engineering and Technology: Proceedings of ICCET 2019 (Advances in Intelligent Systems and Computing #1025)
by Brijesh Iyer P. S. Deshpande S. C. Sharma Ulhas ShiurkarThe book is a collection of selected high quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2019), held on January 10–11, 2019 at Deogiri Institute of Engineering and Management Studies, Aurangabad, India. Focusing on frontier topics and next-generation technologies, it presents original and innovative research from academics, scientists, students, and engineers alike.
Computing in Geographic Information Systems
by Narayan PanigrahiCapable of acquiring large volumes of data through sensors deployed in air, land, and sea, and making this information readily available in a continuous time frame, the science of geographical information system (GIS) is rapidly evolving. This popular information system is emerging as a platform for scientific visualization, simulation, and computa
Computing in Intelligent Transportation Systems (EAI/Springer Innovations in Communication and Computing)
by Archana Naganathan Niresh Jayarajan Mamun Bin Ibne ReazThis book presents various application areas of computing in the automotive sector. The authors explain how computing enhances the performance of vehicles, covering the applications of computing in smart transportation and the future scope. The authors focus on computing for vehicle safety in conjunction with the latest technologies in Internet of Things (IoT). The book provides a holistic approach to computing in an inter-disciplinary and unified view. Topics covered include driverless automated navigation systems, smart transportation, self-learning systems, in-vehicle intelligent systems, and off-road vehicle diagnosis and maintenance, among others. The authors include simulated examples and case studies for better understanding of the technologies and applications. The book is intended for a wide range of readers from students to researchers and industry practitioners and is a useful resource for those planning to pursue research in the area of computing and autonomous driving vehicles.
Computing in Research and Development in Africa: Benefits, Trends, Challenges and Solutions
by Abdoulaye GamatiéThis book describes the trends, challenges and solutions in computing use for scientific research and development within different domains in Africa, such as health, agriculture, environment, economy, energy, education and engineering. The benefits expected are discussed by a number of recognized, domain-specific experts, with a common theme being computing as solution enabler. This book is the first document providing such a representative up-to-date view on this topic at the continent level.
Computing Intelligence in Capital Market (Studies in Computational Intelligence #1154)
by Asef Yelghi Aref Yelghi Mehmet Apan Shirmohammad TavangariThe book is divided into sections according to the content of the chapters. The first section covers AI concepts with NP and financial issues. The second section covers AI techniques in relation to Fintech issues. The remaining sections are implementation and analysis. As science and technology development and algorithms are widely used in various fields, their influence and development have increased efficiency and productivity. The introduction of algorithms in the financial field has not been an exception to this. In recent years, the growth and development of the financial system have been in sync with the growth of technology. Fintechs were born at the intersection of these two sectors. What happens through the application of computer knowledge in the financial field, or the examination of the efficiency and effectiveness of their use and the interaction and combination of these two fields has been written very infrequently in the majority of books. In Fintech, there are problems that researchers focus on such as customer support, portfolio management, trading algorithms, fraud detection, credit risk assessment, insurance, and wealth management. The mentioned problems are complex and are mapped to NP problems in the field of artificial intelligence. In the last two decades, optimization algorithms, neural networks, and deep learning have been widely applied in many scientific and engineering fields to solve the mentioned problems. The purpose of this book is to provide the reader with the most used artificial intelligence methods for scientific and engineering problems. This book is used by students, scientists, and practitioners in various fields. The chapters are self-explanatory, and the reader can read each one separately. They describe the algorithm used, the chosen problem, and the implementation. In addition, practical examples, comparisons, and experimental results are presented.
Computing Platforms for Software-Defined Radio
by Jari Nurmi Waqar Hussain Jouni Isoaho Fabio GarziaThis book addresses Software-Defined Radio (SDR) baseband processing from the computer architecture point of view, providing a detailed exploration of different computing platforms by classifying different approaches, highlighting the common features related to SDR requirements and by showing pros and cons of the proposed solutions. It covers architectures exploiting parallelism by extending single-processor environment (such as VLIW, SIMD, TTA approaches), multi-core platforms distributing the computation to either a homogeneous array or a set of specialized heterogeneous processors, and architectures exploiting fine-grained, coarse-grained, or hybrid reconfigurability.
Computing Science, Communication and Security: First International Conference, COMS2 2020, Gujarat, India, March 26–27, 2020, Revised Selected Papers (Communications in Computer and Information Science #1235)
by Nirbhay Chaubey Satyen Parikh Kiran AminThis book constitutes revised selected papers of the First International Conference on Computing Science, Communication and Security, COMS2 2020, held in March 2020. Due to the COVID-19 pandemic the conference was held virtually. The 26 full papers and 1 short paper were thoroughly reveiwed and selected from 79 submissions. Papers are organised according to the topical sections on artificial intelligence and machine learning; network, communication and security; computing science.