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Preparing today's children for tomorrow's technology! The computing fundamentals program designed to prepare elementary students for a future using technology.
These lecture notes provide a systematic introduction to matrix models of quantum field theories with non-commutative and fuzzy geometries. The book initially focuses on the matrix formulation of non-commutative and fuzzy spaces, followed by a description of the non-perturbative treatment of the corresponding field theories. As an example, the phase structure of non-commutative phi-four theory is treated in great detail, with a separate chapter on the multitrace approach. The last chapter offers a general introduction to non-commutative gauge theories, while two appendices round out the text. Primarily written as a self-study guide for postgraduate students - with the aim of pedagogically introducing them to key analytical and numerical tools, as well as useful physical models in applications - these lecture notes will also benefit experienced researchers by providing a reference guide to the fundamentals of non-commutative field theory with an emphasis on matrix models and fuzzy geometries.
The three-volume set LNCS 5101-5103 constitutes the refereed proceedings of the 8th International Conference on Computational Science, ICCS 2008, held in Krakow, Poland in June 2008.
The 167 revised papers of the main conference track presented together with the abstracts of 7 keynote talks and the 100 revised papers from 14 workshops were carefully reviewed and selected for inclusion in the three volumes.
The main conference track was divided into approximately 20 parallel sessions addressing topics such as e-science applications and systems, scheduling and load balancing, software services and tools, new hardware and its applications, computer networks, simulation of complex systems, image processing and visualization, optimization techniques, numerical linear algebra, and numerical algorithms. The second volume contains workshop papers related to various computational research areas, e.g.: computer graphics and geometric modeling, simulation of multiphysics multiscale systems, computational chemistry and its applications, computational finance and business intelligence, physical, biological and social networks, geocomputation, and teaching computational science. The third volume is mostly related to computer science topics such as bioinformatics' challenges to computer science, tools for program development and analysis in computational science, software engineering for large-scale computing, collaborative and cooperative environments, applications of workflows in computational science, as well as intelligent agents and evolvable systems.
In this newly revised book On Sonic Art, Trevor Wishart takes a
wide-ranging look at the new developments in music-making and
musical aesthetics made possible by the advent of the computer and
digital information processing. His emphasis is on musical rather
than technical matters. Beginning with a critical analysis of the
assumptions underlying the Western musical tradition and the
traditional acoustic theories of Pythagoras and Helmholtz, he goes
on to look in detail at such topics as the musical organization of
complex sound-objects, using and manipulating representational
sounds and the various dimensions of human and non-human utterance.
In so doing, he seeks to learn lessons from areas (poetry and
sound-poetry, film, sound effects and animal communication) not
traditionally associated with the field of music.
A concise introduction to key computing skills for biologists While biological data continues to grow exponentially in size and quality, many of today's biologists are not trained adequately in the computing skills necessary for leveraging this information deluge. In Computing Skills for Biologists, Stefano Allesina and Madlen Wilmes present a valuable toolbox for the effective analysis of biological data. Based on the authors' experiences teaching scientific computing at the University of Chicago, this textbook emphasizes the automation of repetitive tasks and the construction of pipelines for data organization, analysis, visualization, and publication. Stressing practice rather than theory, the book's examples and exercises are drawn from actual biological data and solve cogent problems spanning the entire breadth of biological disciplines, including ecology, genetics, microbiology, and molecular biology. Beginners will benefit from the many examples explained step-by-step, while more seasoned researchers will learn how to combine tools to make biological data analysis robust and reproducible. The book uses free software and code that can be run on any platform. Computing Skills for Biologists is ideal for scientists wanting to improve their technical skills and instructors looking to teach the main computing tools essential for biology research in the twenty-first century. Excellent resource for acquiring comprehensive computing skills Both novice and experienced scientists will increase efficiency by building automated and reproducible pipelines for biological data analysis Code examples based on published data spanning the breadth of biological disciplines Detailed solutions provided for exercises in each chapter Extensive companion website
This book provides a comprehensive treatment of the rapidly changing world of Web-based business technologies and their often-disruptive innovations. The history of the Web is a short one. Indeed many college graduates today were not even born when the Web first emerged. It is therefore an opportune time to view the Web as having reached the point of graduation. The Web has led to new ways in which businesses connect and operate, and how individuals communicate and socialize; related technologies include cloud computing, social commerce, crowd sourcing, and the Internet of Things, to name but a few. These developments, including their technological foundations and business impacts, are at the heart of the book. It contextualizes these topics by providing a brief history of the World Wide Web, both in terms of the technological evolution and its resultant business impacts. The book was written for a broad audience, including technology managers and students in higher education. It is also intended as a guide for people who grew up with a background in business administration or engineering or a related area but who, in the course of their career paths, have reached a point where IT-related decisions have become their daily business, e.g., in digital transformation. The book describes the most important Web technologies and related business applications, and especially focuses on the business implications of these technologies. As such, it offers a solid technology- and business-focused view on the impact of the Web, and balances rules and approaches for strategy development and decision making with a certain technical understanding of what goes on "behind the scenes."
Preparing today's children for tomorrow's technology! The computing fundamentals program designed to prepare elementary students for a future using technology.
This is the simplest, quickest, least technical, most affordable introduction to basic electronics. No tools are necessary--not even a screwdriver. Easy Electronics should satisfy anyone who has felt frustrated by entry-level books that are not as clear and simple as they are supposed to be. Brilliantly clear graphics will take you step by step through 12 basic projects, none of which should take more than half an hour. Using alligator clips to connect components, you see and hear immediateresults. The hands-on approach is fun and intriguing, especially for family members exploring the projects together. The 12 experiments will introduce you to switches, resistors, capacitors, transistors, phototransistors, LEDs, audio transducers, and a silicon chip. You'll even learn how to read schematics by comparing them with the circuits that you build. No prior knowledge is required, and no math is involved. You learn by seeing, hearing, and touching. By the end of Experiment 12, you may be eager to move on to a more detailed book. Easy Electronics will function perfectly as a prequel to the same author's bestseller, Make: Electronics. All the components listed in the book are inexpensive and readily available from online sellers. A very affordable kit has been developed in conjunction with the book to eliminate the chore of shopping for separate parts. A QR code inside the book will take you to the vendor's web site. Concepts include: Transistor as a switch or an amplifier Phototransistor to function as an alarm Capacitor to store and release electricity Transducer to create sounds from a timer Resistor codes A miniature light bulb to display voltage The inner workings of a switch Using batteries and resistors in series and parallel Creating sounds by the pressure of your finger Making a matchbox that beeps when you touch it And more. Grab your copy and start experimenting!
Learn Office the easy way, no jargon. Clear, concise and to the point. Using Office 2013 is the essential step by step guide to getting the most out of Microsoft Office traditional application (not SharePoint), providing a resource for both the beginner and the enthusiast.This book explores constructing professional looking documents; adding and using graphics and clipart; fonts, tables, graphs and formatting; creating stunning PowerPoint presentations for your lessons, lectures, speeches or business presentations; PowerPoint animations and effects; setting up your projector and laptop ready to present; using Excel to create spreadsheets to analyse data; Excel functions and formulas; Excel charts and graphs; and more... Techniques are illustrated in step-by-step using photography and screen prints throughout, together with concise, easy to follow text from an established expert in the field, provide a comprehensive guide to office applications. Whether you are new to Microsoft Office, an experienced user or studying a computer skills course this book will provide you with a firm grasp of the underpinning foundations and equip you with the skills needed to use Office.
Gain a strong understanding of the accounting information systems and related technologies you'll use in your business career with Hall's leading ACCOUNTING INFORMATION SYSTEMS, 10E. You'll find a unique emphasis on ethics, fraud, and the modern manufacturing environment. This edition focuses on the needs and responsibilities of accounting system designers and auditors. Coverage discusses Sarbanes-Oxley as it affects internal controls and other relevant topics. Examine the risks and advantages of IT outsourcing including cloud computing. With thorough updates of the transaction cycle and business processes coverage, you also gain a solid understanding of the risks and internal control issues related to a range of accounting information system technologies employed by today's small and large business organizations.
This new work is an introduction to the numerical solution of the initial value problem for a system of ordinary differential equations. The first three chapters are general in nature, and chapters 4 through 8 derive the basic numerical methods, prove their convergence, study their stability and consider how to implement them effectively. The book focuses on the most important methods in practice and develops them fully, uses examples throughout, and emphasizes practical problem-solving methods.
As Ambient Intelligence (AmI) ecosystems are rapidly becoming a reality, they raise new research challenges. Unlike predefined static architectures as we know them today, AmI ecosystems are bound to contain a large number of heterogeneous computing, communication infrastructures and devices that will be dynamically assembled. Architectures will be sensitive, adaptive, context-aware and responsive to users needs and habits.Researchers need to both enable their user-friendly application in a growing number of areas while ensuring that these applications remain reliable and secure. Held in Sophia Antipolis (France) from September the 20th to September the 22nd 2006, the first edition of the AmI.d conference tackled the latest research challenges within AmI ecosystems, presented AmI applications as well as security solutions. The AmI.d conference featured an international programme committee, co-chaired by Professor Antonio Mana (University of Malaga) and Dr. Volkmar Lotz (SAP). Professor Javier Lopez (University of Malaga) served as General Chair and Mr Richard Bricaire (Strategies Telecoms and Multimedia) was the Organization Chair. This volume gathers all the papers selected by the Program Committee. Authors coming from renowned universities and industry research centres contributed to draw a comprehensive state-of-the-art in AmI applications and security research. Among others, the reader will find in-depth analysis of the following topics: - AmI in smart homes, - Distributed coordination, - Resource optimization, - Security, - Software engineering techniques applied to AmI, - Design of context-aware ambient services, - Context-aware Trust. Besides the research track, the AmI.d conference encompassed an open-track whose proceedings are available for download on the web: www.amidconference.org.
This series is for the Cambridge International AS & A Level Computer Science syllabus (9618) for examination from 2021. Developed by an experienced author and examiner team and written for the international learner, this coursebook provides students with a structured and progressive guide to the theoretical and practical skills required by the syllabus. With an emphasis on developing computational skills, this resource helps build students' confidence in using a range of technology and programming languages. Detailed descriptions of concepts are reinforced with exercises, discussion points, and reflection questions with exam-style and past paper questions. Answers are found within the teacher's resource.
Computational experiments on algorithms can supplement theoretical analysis by showing what algorithms, implementations, and speed-up methods work best for specific machines or problems. This book guides the reader through the nuts and bolts of the major experimental questions: What should I measure? What inputs should I test? How do I analyze the data? To answer these questions the book draws on ideas from algorithm design and analysis, computer systems, and statistics and data analysis. The wide-ranging discussion includes a tutorial on system clocks and CPU timers, a survey of strategies for tuning algorithms and data structures, a cookbook of methods for generating random combinatorial inputs, and a demonstration of variance reduction techniques. Numerous case studies and examples show how to apply these concepts. All the necessary concepts in computer architecture and data analysis are covered so that the book can be used by anyone who has taken a course or two in data structures and algorithms. A companion website, AlgLab (www.cs.amherst.edu/alglab) contains downloadable files, programs, and tools for use in experimental projects.
As a result of experimental techniques, the combination of biology and computer science was initiated to classify and process an expanding number of biological observations. Bioinformatics: Concepts, Methodologies, Tools, and Applications highlights the area of bioinformatics and its impact over the medical community with its innovations that change how we recognize and care for illnesses. This publication provides significant research and the most recent observations that are useful for researchers, practitioners, and academicians involved in the many aspects of bioinformatics.
This book constitutes the conference proceedings of the 6th International Conference on Algorithmic Decision Theory, ADT 2019, held in Durham, NC, USA, in October 2019. The 10 full papers presented together with 7 short papers were carefully selected from 31 submissions. The papers focus on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of computer science, economics and operations research in order to improve the theory and practice of modern decision support.
This book explains the development of theoretical computer science in its early stages, specifically from 1965 to 1990. The author is among the pioneers of theoretical computer science, and he guides the reader through the early stages of development of this new discipline. He explains the origins of the field, arising from disciplines such as logic, mathematics, and electronics, and he describes the evolution of the key principles of computing in strands such as computability, algorithms, and programming. But mainly it's a story about people - pioneers with diverse backgrounds and characters came together to overcome philosophical and institutional challenges and build a community. They collaborated on research efforts, they established schools and conferences, they developed the first related university courses, they taught generations of future researchers and practitioners, and they set up the key publications to communicate and archive their knowledge. The book is a fascinating insight into the field as it existed and evolved, it will be valuable reading for anyone interested in the history of computing.
An accessible introduction to computer systems and architecture
Did you ever try getting Business and IT to agree on the project scope for a new application? Or try getting the Sales & Marketing department to agree on the target audience? Or try bringing new team members up to speed on the hundreds of tables in your data warehouse -- without them dozing off? You can be the hero in each of these and hundreds of other scenarios by building a High-Level Data Model. The High-Level Data Model is a simplified view of our complex environment. It can be a powerful communication tool of the key concepts within our application development projects, business intelligence and master data management programs, and all enterprise and industry initiatives. Learn about the High-Level Data Model and master the techniques for building one, including a comprehensive ten-step approach. Know how to evaluate toolsets for building and storing your models. Practice exercises and walk through a case study to reinforce your modelling skills.
When machine learning engineers work with data sets, they may find the results aren't as good as they need. Instead of improving the model or collecting more data, they can use the feature engineering process to help improve results by modifying the data's features to better capture the nature of the problem. This practical guide to feature engineering is an essential addition to any data scientist's or machine learning engineer's toolbox, providing new ideas on how to improve the performance of a machine learning solution. Beginning with the basic concepts and techniques, the text builds up to a unique cross-domain approach that spans data on graphs, texts, time series, and images, with fully worked out case studies. Key topics include binning, out-of-fold estimation, feature selection, dimensionality reduction, and encoding variable-length data. The full source code for the case studies is available on a companion website as Python Jupyter notebooks.
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. Also Available Online This Taylor & Francis encyclopedia is also available through online subscription, offering a variety of extra benefits for researchers, students, and librarians, including: Citation tracking and alerts Active reference linking Saved searches and marked lists HTML and PDF format options Contact Taylor and Francis for more information or to inquire about subscription options and print/online combination packages. US: (Tel) 1.888.318.2367; (E-mail) [email protected] International: (Tel) +44 (0) 20 7017 6062; (E-mail) [email protected]
This book presents advances in alternative swarm development that have proved to be effective in several complex problems. Swarm intelligence (SI) is a problem-solving methodology that results from the cooperation between a set of agents with similar characteristics. The study of biological entities, such as animals and insects, manifesting social behavior has resulted in several computational models of swarm intelligence. While there are numerous books addressing the most widely known swarm methods, namely ant colony algorithms and particle swarm optimization, those discussing new alternative approaches are rare. The focus on developments based on the simple modification of popular swarm methods overlooks the opportunity to discover new techniques and procedures that can be useful in solving problems formulated by the academic and industrial communities. Presenting various novel swarm methods and their practical applications, the book helps researchers, lecturers, engineers and practitioners solve their own optimization problems.
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