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| computer science interdisciplinary approach: Computer Science Robert Sedgewick, Kevin Wayne, 2016-06-17 Named a Notable Book in the 21st Annual Best of Computing list by the ACM! Robert Sedgewick and Kevin Wayne’s Computer Science: An Interdisciplinary Approach is the ideal modern introduction to computer science with Java programming for both students and professionals. Taking a broad, applications-based approach, Sedgewick and Wayne teach through important examples from science, mathematics, engineering, finance, and commercial computing. The book demystifies computation, explains its intellectual underpinnings, and covers the essential elements of programming and computational problem solving in today’s environments. The authors begin by introducing basic programming elements such as variables, conditionals, loops, arrays, and I/O. Next, they turn to functions, introducing key modular programming concepts, including components and reuse. They present a modern introduction to object-oriented programming, covering current programming paradigms and approaches to data abstraction. Building on this foundation, Sedgewick and Wayne widen their focus to the broader discipline of computer science. They introduce classical sorting and searching algorithms, fundamental data structures and their application, and scientific techniques for assessing an implementation’s performance. Using abstract models, readers learn to answer basic questions about computation, gaining insight for practical application. Finally, the authors show how machine architecture links the theory of computing to real computers, and to the field’s history and evolution. For each concept, the authors present all the information readers need to build confidence, together with examples that solve intriguing problems. Each chapter contains question-and-answer sections, self-study drills, and challenging problems that demand creative solutions. Companion web site (introcs.cs.princeton.edu/java) contains Extensive supplementary information, including suggested approaches to programming assignments, checklists, and FAQs Graphics and sound libraries Links to program code and test data Solutions to selected exercises Chapter summaries Detailed instructions for installing a Java programming environment Detailed problem sets and projects Companion 20-part series of video lectures is available at informit.com/title/9780134493831 |
| computer science interdisciplinary approach: Introduction to Programming in Python Robert Sedgewick, Kevin Wayne, Robert Dondero, 2015-05-27 Today, anyone in a scientific or technical discipline needs programming skills. Python is an ideal first programming language, and Introduction to Programming in Python is the best guide to learning it. Princeton University’s Robert Sedgewick, Kevin Wayne, and Robert Dondero have crafted an accessible, interdisciplinary introduction to programming in Python that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students to learn that programming is a natural, satisfying, and creative experience. This example-driven guide focuses on Python’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science. Coverage includes Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused Object-oriented programming and data abstraction: objects, modularity, encapsulation, and more Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables Examples from applied math, physics, chemistry, biology, and computer science—all compatible with Python 2 and 3 Drawing on their extensive classroom experience, the authors provide Q&As, exercises, and opportunities for creative practice throughout. An extensive amount of supplementary information is available at introcs.cs.princeton.edu/python. With source code, I/O libraries, solutions to selected exercises, and much more, this companion website empowers people to use their own computers to teach and learn the material. |
| computer science interdisciplinary approach: Discovering Computer Science Jessen Havill, 2020-10-12 Havill's problem-driven approach introduces algorithmic concepts in context and motivates students with a wide range of interests and backgrounds. -- Janet Davis, Associate Professor and Microsoft Chair of Computer Science, Whitman College This book looks really great and takes exactly the approach I think should be used for a CS 1 course. I think it really fills a need in the textbook landscape. -- Marie desJardins, Dean of the College of Organizational, Computational, and Information Sciences, Simmons University Discovering Computer Science is a refreshing departure from introductory programming texts, offering students a much more sincere introduction to the breadth and complexity of this ever-growing field. -- James Deverick, Senior Lecturer, The College of William and Mary This unique introduction to the science of computing guides students through broad and universal approaches to problem solving in a variety of contexts and their ultimate implementation as computer programs. -- Daniel Kaplan, DeWitt Wallace Professor, Macalester College Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming is a problem-oriented introduction to computational problem solving and programming in Python, appropriate for a first course for computer science majors, a more targeted disciplinary computing course or, at a slower pace, any introductory computer science course for a general audience. Realizing that an organization around language features only resonates with a narrow audience, this textbook instead connects programming to students’ prior interests using a range of authentic problems from the natural and social sciences and the digital humanities. The presentation begins with an introduction to the problem-solving process, contextualizing programming as an essential component. Then, as the book progresses, each chapter guides students through solutions to increasingly complex problems, using a spiral approach to introduce Python language features. The text also places programming in the context of fundamental computer science principles, such as abstraction, efficiency, testing, and algorithmic techniques, offering glimpses of topics that are traditionally put off until later courses. This book contains 30 well-developed independent projects that encourage students to explore questions across disciplinary boundaries, over 750 homework exercises, and 300 integrated reflection questions engage students in problem solving and active reading. The accompanying website — https://www.discoveringcs.net — includes more advanced content, solutions to selected exercises, sample code and data files, and pointers for further exploration. |
| computer science interdisciplinary approach: Introduction to Programming in Java: An Interdisciplinary Approach Robert Sedgewick, Kevin Wayne, 2013-07-31 By emphasizing the application of computer programming not only in success stories in the software industry but also in familiar scenarios in physical and biological science, engineering, and applied mathematics, Introduction to Programming in Java takes an interdisciplinary approach to teaching programming with the Java(TM) programming language. Interesting applications in these fields foster a foundation of computer science concepts and programming skills that students can use in later courses while demonstrating that computation is an integral part of the modern world. Ten years in development, this book thoroughly covers the field and is ideal for traditional introductory programming courses. It can also be used as a supplement or a main text for courses that integrate programming with mathematics, science, or engineering. |
| computer science interdisciplinary approach: Strategic Software Engineering Fadi P. Deek, James A. M. McHugh, Osama M. Eljabiri, 2005-05-26 The pervasiveness of software in business makes it crucial that software engineers and developers understand how software development impacts an entire organization. Strategic Software Engineering: An Interdisciplinary Approach presents software engineering as a strategic, business-oriented, interdisciplinary endeavor, rather than simply a technica |
| computer science interdisciplinary approach: Interdisciplinary Computing in Java Programming Sun-Chong Wang, 2012-12-06 Books on computation in the marketplace tend to discuss the topics within specific fields. Many computational algorithms, however, share common roots. Great advantages emerge if numerical methodologies break the boundaries and find their uses across disciplines. Interdisciplinary Computing In Java Programming Language introduces readers of different backgrounds to the beauty of the selected algorithms. Serious quantitative researchers, writing customized codes for computation, enjoy cracking source codes as opposed to the black-box approach. Most C and Fortran programs, despite being slightly faster in program execution, lack built-in support for plotting and graphical user interface. This book selects Java as the platform where source codes are developed and applications are run, helping readers/users best appreciate the fun of computation. Interdisciplinary Computing In Java Programming Language is designed to meet the needs of a professional audience composed of practitioners and researchers in science and technology. This book is also suitable for senior undergraduate and graduate-level students in computer science, as a secondary text. |
| computer science interdisciplinary approach: Social Computing Theory and Practice: Interdisciplinary Approaches Papadopoulou, Panagiota, Kanellis, Panagiotis, Martakos, Drakoulis, 2010-10-31 This book offers a holistic approach to social computing with respect to the underlying theory, technology and mechanisms, as well as the challenges, opportunities and impact of social computing to any application area--Provided by publisher. |
| computer science interdisciplinary approach: An Interdisciplinary Approach to Modern Network Security Sabyasachi Pramanik, Anand Sharma, Surbhi Bhatia, Dac-Nhuong Le, 2022-05-02 An Interdisciplinary Approach to Modern Network Security presents the latest methodologies and trends in detecting and preventing network threats. Investigating the potential of current and emerging security technologies, this publication is an all-inclusive reference source for academicians, researchers, students, professionals, practitioners, network analysts and technology specialists interested in the simulation and application of computer network protection. It presents theoretical frameworks and the latest research findings in network security technologies, while analyzing malicious threats which can compromise network integrity. It discusses the security and optimization of computer networks for use in a variety of disciplines and fields. Touching on such matters as mobile and VPN security, IP spoofing and intrusion detection, this edited collection emboldens the efforts of researchers, academics and network administrators working in both the public and private sectors. This edited compilation includes chapters covering topics such as attacks and countermeasures, mobile wireless networking, intrusion detection systems, next-generation firewalls, web security and much more. Information and communication systems are an essential component of our society, forcing us to become dependent on these infrastructures. At the same time, these systems are undergoing a convergence and interconnection process that has its benefits, but also raises specific threats to user interests. Citizens and organizations must feel safe when using cyberspace facilities in order to benefit from its advantages. This book is interdisciplinary in the sense that it covers a wide range of topics like network security threats, attacks, tools and procedures to mitigate the effects of malware and common network attacks, network security architecture and deep learning methods of intrusion detection. |
| computer science interdisciplinary approach: Social Network Analysis Xiaoming Fu, Jar-Der Luo, Margarete Boos, 2017-03-31 The book addresses the issue of interdisciplinary understanding of collaboration on the topic of social network studies. Researchers and practitioners from various disciplines including sociology, computer science, socio-psychology, public health, complex systems, and management science have worked largely independently, each with quite different principles, terminologies, theories. and methodologies. The book aims to fill the gap among these disciplines with a number of the latest interdisciplinary collaboration studies. |
| computer science interdisciplinary approach: Analytic Combinatorics Philippe Flajolet, Robert Sedgewick, 2009-01-15 Analytic combinatorics aims to enable precise quantitative predictions of the properties of large combinatorial structures. The theory has emerged over recent decades as essential both for the analysis of algorithms and for the study of scientific models in many disciplines, including probability theory, statistical physics, computational biology, and information theory. With a careful combination of symbolic enumeration methods and complex analysis, drawing heavily on generating functions, results of sweeping generality emerge that can be applied in particular to fundamental structures such as permutations, sequences, strings, walks, paths, trees, graphs and maps. This account is the definitive treatment of the topic. The authors give full coverage of the underlying mathematics and a thorough treatment of both classical and modern applications of the theory. The text is complemented with exercises, examples, appendices and notes to aid understanding. The book can be used for an advanced undergraduate or a graduate course, or for self-study. |
| computer science interdisciplinary approach: Emerging Research, Practice, and Policy on Computational Thinking Peter J. Rich, Charles B. Hodges, 2017-04-24 This book reports on research and practice on computational thinking and the effect it is having on education worldwide, both inside and outside of formal schooling. With coding becoming a required skill in an increasing number of national curricula (e.g., the United Kingdom, Israel, Estonia, Finland), the ability to think computationally is quickly becoming a primary 21st century “basic” domain of knowledge. The authors of this book investigate how this skill can be taught and its resultant effects on learning throughout a student's education, from elementary school to adult learning. |
| computer science interdisciplinary approach: Artificial Intelligence and Creativity T. Dartnall, 2013-04-17 Creativity is one of the least understood aspects of intelligence and is often seen as `intuitive' and not susceptible to rational enquiry. Recently, however, there has been a resurgence of interest in the area, principally in artificial intelligence and cognitive science, but also in psychology, philosophy, computer science, logic, mathematics, sociology, and architecture and design. This volume brings this work together and provides an overview of this rapidly developing field. It addresses a range of issues. Can computers be creative? Can they help us to understand human creativity? How can artificial intelligence (AI) enhance human creativity? How, in particular, can it contribute to the `sciences of the artificial', such as design? Does the new wave of AI (connectionism, geneticism and artificial life) offer more promise in these areas than classical, symbol-handling AI? What would the implications be for AI and cognitive science if computers could not be creative? These issues are explored in five interrelated parts, each of which is introducted and explained by a leading figure in the field. - Prologue (Margaret Boden) - Part I: Foundational Issues (Terry Dartnall) - Part II: Creativity and Cognition (Graeme S. Halford and Robert Levinson) - Part III: Creativity and Connectionism (Chris Thornton) - Part IV: Creativity and Design (John Gero) - Part V: Human Creativity Enhancement (Ernest Edmonds) - Epilogue (Douglas Hofstadter) For researchers in AI, cognitive science, computer science, philosophy, psychology, mathematics, logic, sociology, and architecture and design; and anyone interested in the rapidly growing field of artificial intelligence and creativity. |
| computer science interdisciplinary approach: Principles of Cyber-Physical Systems Sandip Roy, Sajal K. Das, 2020-10-15 This unique introduction to the foundational concepts of cyber-physical systems (CPS) describes key design principles and emerging research trends in detail. Several interdisciplinary applications are covered, with a focus on the wide-area management of infrastructures including electric power systems, air transportation networks, and health care systems. Design, control and optimization of cyber-physical infrastructures are discussed, addressing security and privacy issues of networked CPS, presenting graph-theoretic and numerical approaches to CPS evaluation and monitoring, and providing readers with the knowledge needed to operate CPS in a reliable, efficient, and secure manner. Exercises are included. This is an ideal resource for researchers and graduate students in electrical engineering and computer science, as well as for practitioners using cyber-physical systems in aerospace and automotive engineering, medical technology, and large-scale infrastructure operations. |
| computer science interdisciplinary approach: Health Care Informatics Sheila P. Englebardt, Ramona Nelson, 2002 Informatics - studying the use of computer hardware, software, systematic languages, and data manipulation to collect and apply information - is united with health care in this new interdisciplinary textbook. It focuses on topics in informatics relevant to all fields of health care, in a textbook format complete with chapter outlines, objectives, key terms, and discussion questions. A unique online supplement complements the book to offer complete, electronic support for both instructors and students. Written by experts in health care informatics, this text provides a comprehensive overview of all the major concepts in informatics, discussing trends and innovative strategies from a contemporary, mainstream perspective. Features a unique, interdisciplinary approach to health care informatics, for a well-rounded foundation in working and communicating with many areas of health care Written by an interdisciplinary team of health care professionals who are experts in their respective disciplines Examines all roles and functions of health care - practice, research, education, and administration - in relation to informatics Significant issues and trends in health care informatics are discussed, such as the new regulations regarding the privacy of medical records and related computer security regulations A supplemental online component for instructors and students provides computer-based access to interactive exercises, PowerPoint slides, test questions, and other learning activities Separate chapters address key topics in informatics, including major theories, clinical decision-making, communication approaches, and distributed education A separate chapter explores the history of health care informatics for a background in why and how informatics has developed Learning Objectives focus the readers' attention on essential information in the chapter A Chapter Outline highlights the main chapter concepts, and a Conclusion summarizes key points Key Terms, listed at the beginning of each chapter and bolded throughout, reinforce important terminology Discussion Questions at the end of each chapter challenge readers' critical thinking skills A Glossary includes definitions for each Key Term, for easy access to definitions of important terms An attractive two-color design emphasizes key features and creates an inviting, accessible text. |
| computer science interdisciplinary approach: Interdisciplinarity in the Making Nancy J. Nersessian, 2022-11-22 A cognitive ethnography of how bioengineering scientists create innovative modeling methods. In this first full-scale, long-term cognitive ethnography by a philosopher of science, Nancy J. Nersessian offers an account of how scientists at the interdisciplinary frontiers of bioengineering create novel problem-solving methods. Bioengineering scientists model complex dynamical biological systems using concepts, methods, materials, and other resources drawn primarily from engineering. They aim to understand these systems sufficiently to control or intervene in them. What Nersessian examines here is how cutting-edge bioengineering scientists integrate the cognitive, social, material, and cultural dimensions of practice. Her findings and conclusions have broad implications for researchers in philosophy, science studies, cognitive science, and interdisciplinary studies, as well as scientists, educators, policy makers, and funding agencies. In studying the epistemic practices of scientists, Nersessian pushes the boundaries of the philosophy of science and cognitive science into areas not ventured before. She recounts a decades-long, wide-ranging, and richly detailed investigation of the innovative interdisciplinary modeling practices of bioengineering researchers in four university laboratories. She argues and demonstrates that the methods of cognitive ethnography and qualitative data analysis, placed in the framework of distributed cognition, provide the tools for a philosophical analysis of how scientific discoveries arise from complex systems in which the cognitive, social, material, and cultural dimensions of problem-solving are integrated into the epistemic practices of scientists. Specifically, she looks at how interdisciplinary environments shape problem-solving. Although Nersessian’s case material is drawn from the bioengineering sciences, her analytic framework and methodological approach are directly applicable to scientific research in a broader, more general sense, as well. |
| computer science interdisciplinary approach: Quicksort Robert Sedgewick, 1980 |
| computer science interdisciplinary approach: An Introduction to the Analysis of Algorithms Robert Sedgewick, Philippe Flajolet, 2013-01-18 Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners, researchers, or students. An Introduction to the Analysis of Algorithms, Second Edition, organizes and presents that knowledge, fully introducing primary techniques and results in the field. Robert Sedgewick and the late Philippe Flajolet have drawn from both classical mathematics and computer science, integrating discrete mathematics, elementary real analysis, combinatorics, algorithms, and data structures. They emphasize the mathematics needed to support scientific studies that can serve as the basis for predicting algorithm performance and for comparing different algorithms on the basis of performance. Techniques covered in the first half of the book include recurrences, generating functions, asymptotics, and analytic combinatorics. Structures studied in the second half of the book include permutations, trees, strings, tries, and mappings. Numerous examples are included throughout to illustrate applications to the analysis of algorithms that are playing a critical role in the evolution of our modern computational infrastructure. Improvements and additions in this new edition include Upgraded figures and code An all-new chapter introducing analytic combinatorics Simplified derivations via analytic combinatorics throughout The book’s thorough, self-contained coverage will help readers appreciate the field’s challenges, prepare them for advanced results—covered in their monograph Analytic Combinatorics and in Donald Knuth’s The Art of Computer Programming books—and provide the background they need to keep abreast of new research. [Sedgewick and Flajolet] are not only worldwide leaders of the field, they also are masters of exposition. I am sure that every serious computer scientist will find this book rewarding in many ways. —From the Foreword by Donald E. Knuth |
| computer science interdisciplinary approach: Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation Samuelson Hong, Wei-Chiang, 2013-03-31 Evolutionary computation has emerged as a major topic in the scientific community as many of its techniques have successfully been applied to solve problems in a wide variety of fields. Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation provides comprehensive research on emerging theories and its aspects on intelligent computation. Particularly focusing on breaking trends in evolutionary computing, algorithms, and programming, this publication serves to support professionals, government employees, policy and decision makers, as well as students in this scientific field. |
| computer science interdisciplinary approach: Gender in Science and Technology Waltraud Ernst, Ilona Horwath, 2014-04-30 What role does gender play in scientific research and the development of technologies? This book provides methodological expertise, research experiences and empirical findings in the dynamic field of Science and Technology Studies. The authors, coming from computer science, social sciences, or cultural studies of science, discuss how to ask questions about gender and give examples for the application in interdisciplinary research, development and teaching. Topics range from the design of information and communication technologies, epistemologies of biology and chemistry to teaching mathematics and professional processes in engineering. Contributions by Anne Balsamo, Wendy Faulkner, Rebecca Jordan-Young, Barbara Orland, Els Rommes, and others. |
| computer science interdisciplinary approach: Fostering Research on the Economic and Social Impacts of Information Technology National Research Council, Division on Engineering and Physical Sciences, Commission on Physical Sciences, Mathematics, and Applications, Steering Committee on Research Opportunities Relating to Economic and Social Impacts of Computing and Communications, 1998-09-15 The tremendous growth in use of information technology (IT) has led to an increased interest in understanding its social and economic impacts. This book presents examples of crosscutting research that has been conducted to understand the impact of information technology on personal, community, and business activities. It explores ways in which the use of methodology from economics and social sciences contributes to important advances in understanding these impacts. The book discusses significant research issues and concerns and suggests approaches for fostering increased interdisciplinary research on the impacts of information technology and making the results of this research more accessible to the public and policymakers. This volume is expected to influence funding priorities and levels of support for interdisciplinary research of this kind. |
| computer science interdisciplinary approach: Interdisciplinary Approaches to Spatial Optimization Issues Sami Faiz, Soumaya Elhosni, 2019-12 This book examines interdisciplinary approaches to GIS and spatial optimization in private and public organizations-- |
| computer science interdisciplinary approach: Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on the Growth of Computer Science Undergraduate Enrollments, 2018-04-28 The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past trends. It examines drivers of the current enrollment surge, relationships between the surge and current and potential gains in diversity in the field, and the potential impacts of responses to the increased demand for computing in higher education, and it considers the likely effects of those responses on students, faculty, and institutions. This report provides recommendations for what institutions of higher education, government agencies, and the private sector can do to respond to the surge and plan for a strong and sustainable future for the field of CS in general, the health of the institutions of higher education, and the prosperity of the nation. |
| computer science interdisciplinary approach: Cognitive Informatics and Wisdom Development: Interdisciplinary Approaches Targowski, Andrew, 2010-12-31 Since wisdom is the ultimate human virtue, its application is important for humans and civilization. Cognitive Informatics and Wisdom Development: Interdisciplinary Approaches argues that wise civilization cannot function without wise people and vice versa, that wise people cannot function without positive conditions for the development of wise civilization. Using the cognitive informatics approach as a basis for the investigation of wisdom, this book offers solutions on how to study and evaluate the state of wisdom in 21st century society and the requirements for wise civilization and its monitoring systems. |
| computer science interdisciplinary approach: The Study of Information Fritz Machlup, Una Mansfield, 1983 Compilation of essays, information science, theory of information - computer science, artificial intelligence, linguistics, interdisciplinary research. Bibliography. |
| computer science interdisciplinary approach: Sociology of Interdisciplinarity Antti Silvast, Chris Foulds, 2021-12-03 This Open Access book builds upon Science and Technology Studies (STS) and provides a detailed examination of how large-scale energy research projects have been conceived, and with what consequences for those involved in interdisciplinary research, which has been advocated as the zenith of research practice for many years, quite often in direct response to questions that cannot be answered (or even preliminarily investigated) by disciplines working separately. It produces fresh insights into the lived experiences and actual contents of interdisciplinarity, rather than simply commentating on how it is being explicitly advocated. We present empirical studies on large-scale energy research projects from the United Kingdom, Norway, and Finland. The book presents a new framework, the Sociology of Interdisciplinarity, which unpacks interdisciplinary research in practice. This book will be of interest to all those interested in well-functioning interdisciplinary research systems and the dynamics of doing interdisciplinarity, including real ground-level experiences and institutional interdependencies. |
| computer science interdisciplinary approach: Shape Perception in Human and Computer Vision Sven J. Dickinson, Zygmunt Pizlo, 2013-06-29 This comprehensive and authoritative text/reference presents a unique, multidisciplinary perspective on Shape Perception in Human and Computer Vision. Rather than focusing purely on the state of the art, the book provides viewpoints from world-class researchers reflecting broadly on the issues that have shaped the field. Drawing upon many years of experience, each contributor discusses the trends followed and the progress made, in addition to identifying the major challenges that still lie ahead. Topics and features: examines each topic from a range of viewpoints, rather than promoting a specific paradigm; discusses topics on contours, shape hierarchies, shape grammars, shape priors, and 3D shape inference; reviews issues relating to surfaces, invariants, parts, multiple views, learning, simplicity, shape constancy and shape illusions; addresses concepts from the historically separate disciplines of computer vision and human vision using the same “language” and methods. |
| computer science interdisciplinary approach: Essential Logic for Computer Science Rex Page, Ruben Gamboa, 2019-01-08 An introduction to applying predicate logic to testing and verification of software and digital circuits that focuses on applications rather than theory. Computer scientists use logic for testing and verification of software and digital circuits, but many computer science students study logic only in the context of traditional mathematics, encountering the subject in a few lectures and a handful of problem sets in a discrete math course. This book offers a more substantive and rigorous approach to logic that focuses on applications in computer science. Topics covered include predicate logic, equation-based software, automated testing and theorem proving, and large-scale computation. Formalism is emphasized, and the book employs three formal notations: traditional algebraic formulas of propositional and predicate logic; digital circuit diagrams; and the widely used partially automated theorem prover, ACL2, which provides an accessible introduction to mechanized formalism. For readers who want to see formalization in action, the text presents examples using Proof Pad, a lightweight ACL2 environment. Readers will not become ALC2 experts, but will learn how mechanized logic can benefit software and hardware engineers. In addition, 180 exercises, some of them extremely challenging, offer opportunities for problem solving. There are no prerequisites beyond high school algebra. Programming experience is not required to understand the book's equation-based approach. The book can be used in undergraduate courses in logic for computer science and introduction to computer science and in math courses for computer science students. |
| computer science interdisciplinary approach: Case Studies in Interdisciplinary Research Allen F. Repko, William H. Newell, Rick Szostak, 2011-02-07 Case Studies in Interdisciplinary Research successfully applies the model of the interdisciplinary research process outlined by author Allen F. Repko in Interdisciplinary Research, (SAGE ©2008) to a wide spectrum of challenging research questions. Self-contained case studies, written by leaders in interdisciplinary research, and utilizing best-practice techniques in conducting interdisciplinary research shows students how to apply the interdisciplinary research process to a variety of problems. |
| computer science interdisciplinary approach: Mathematical Modeling and Computation of Real-Time Problems Rakhee Kulshrestha, Chandra Shekhar, Madhu Jain, Srinivas R. Chakravarthy, 2021-01-04 This book covers an interdisciplinary approach for understanding mathematical modeling by offering a collection of models, solved problems related to the models, the methodologies employed, and the results using projects and case studies with insight into the operation of substantial real-time systems. The book covers a broad scope in the areas of statistical science, probability, stochastic processes, fluid dynamics, supply chain, optimization, and applications. It discusses advanced topics and the latest research findings, uses an interdisciplinary approach for real-time systems, offers a platform for integrated research, and identifies the gaps in the field for further research. The book is for researchers, students, and teachers that share a goal of learning advanced topics and the latest research in mathematical modeling. |
| computer science interdisciplinary approach: The Cognitive Sciences Carolyn P. Sobel, Paul Li, 2013-01-17 The Cognitive Sciences: An Interdisciplinary Approach, Second Edition offers an engaging, thorough introduction to the cognitive sciences. Authors Carolyn Sobel and Paul Li examine the historical and contemporary issues and research findings of the core cognitive science disciplines: cognitive psychology, neuroscience, artificial intelligence, linguistics, evolutionary psychology, and philosophy. For each of these core disciplines, the historical development and classic research studies are presented in one chapter and current research development and issues follow in a second chapter, offering students a broad understanding of the development of each concentration in the cognitive sciences. The text presents a student-friendly approach to understanding how each discipline has contributed to the growth of cognitive science and the implications for future research. NEW TO THIS EDITION Includes a new chapter on evolutionary psychology, an important emerging field in the cognitive sciences. Offers fully updated research, including subjects such as embodied cognition and extended cognition (philosophy), bilingualism indicating its wide-ranging effects on brain capabilities (linguistics), and current work in neuroplasticity (neuroscience). A new image program helps illustrate new and key concepts in the text. The companion website contains helpful pedagogical features to aid faculty and students. Praise for The Cognitive Sciences, Second Edition “I am impressed with the completeness of the text. I have suffered from some tunnel vision thinking that all cognitive science intros needed to be more thematic. The field approach of this one is a refreshing change.” - Kenneth M. Moorman, Transylvania University “You have a winner. It is well organized, cutting edge, theoretical, and substantive, and easy to read. The stories and contextualization of the material for the reader was the biggest strength of this text.” - Thelon Byrd Jr., Bowie State University “The text is clear, organized, and, overall, very well-written. In fact, it has been a pleasure to read. It should be very accessible to undergrads in an introductory cognitive science course, whether majors or not. - Michael R. Scheessele, Indiana University South Bend |
| computer science interdisciplinary approach: Human-Centered Data Science Cecilia Aragon, Shion Guha, Marina Kogan, Michael Muller, Gina Neff, 2022-03-01 Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns. |
| computer science interdisciplinary approach: Quality of Life Shruti Tripathi, Rashmi Rai, Ingrid Van Rompay-Bartels, 2021-08-09 Quality of Life: An Interdisciplinary Perspective presents the Quality of Life using a contemporary and interdisciplinary approach. Various socio-cultural, spiritual, technological, and human factors aspects, which have an immense bearing on our lives, are an integral part of this book. This book highlights cultural differences in terms of Quality of Life. It recognizes the presence of cultural differences resulting from the social status attributed to an individual’s age, gender, class, race, and ethnicity. It can be used as a guide in the field of global well-being and for future research. It presents clues to complex problems and empirical materials, and attempts to bring out a more comprehensive picture of global and contemporary Quality of Life and well-being. This book can also fill a gap in teaching and research. Those who will find this book useful are researchers, academicians, practitioners, and students of management, behavioral science, human factors, psychology, health economics, sociology, public health, and politics. |
| computer science interdisciplinary approach: An Interdisciplinary Approach Towards Academic Education on Sustainable Building Design Vanja Skalicky Klemenčič, Vesna Žegarac Leskovar, Vanja Skalicky, Maja Žigart, 2020 The built environment is witnessing a worldwide concern followed by intensive consideration of its environmental impacts on the one hand and influence on public health and wellbeing on the other. Respecting both priorities mentioned above, the trends in current design tend to be in line with multiple dimensions of sustainability. Next to its occurrence in scientific research and practice, the topic of sustainable design is ever more emerging within the courses at universities, whereby the educational approaches can be beneficial if interrelated to different scientific or expert disciplines. As universities are recognized as complex organizations inevitably evolving over a long period of time period and responding to changes in society and environment, attempts to improve the efficiency of academic teaching have been intensively introduced also in the study programs of the University of Maribor, Faculty of Civil Engineering, Transportation Engineering and Architecture (UM FGPA) through implementation of various activities related to development of innovative approaches towards education on sustainable design of built environment. The publication presents the interdisciplinary approach to the academic education on sustainable building design through integration of different activities. In addition to basic educational courses, the transfer of latest research findings, implementation of practical student workshops, development projects and various activities aiming at integration of different knowledge transfers makes the level of academic teaching more active and efficient. The book consists of six chapters. The first chapter describes the general aspect of the integrative approach to education on sustainable built environment through the experience of the interdisciplinary course. Chapter 2 introduces a comprehensive set of urban design criteria for creating residential neighbourhoods and emphasizes the role of high-quality open space and green areas, which significantly contributes to liveability. Chapter 3 deals with sustainable transport in connection with the living environment, and emphasises the interdisciplinary approach. Chapter 4 presents the inclusion of energy-efficient building design with the integrated use of new digital technologies, such as building information and energy modelling. Chapter 5 describes the main types of timber structural systems and presents a sustainable design perspective of contemporary prefabricated timber-glass buildings with further development of multi-storey prefabricated timber buildings with enlarged glazing areas. The last chapter is prepared as a graphic summary of interdisciplinary workshop projects which demonstrate the complexity of design and the respect for diverse interdisciplinary principles of sustainable planning. |
| computer science interdisciplinary approach: Interdisciplinarity Andrew Barry, Georgina Born, 2013-06-26 The idea that research should become more interdisciplinary has become commonplace. According to influential commentators, the unprecedented complexity of problems such as climate change or the social implications of biomedicine demand interdisciplinary efforts integrating both the social and natural sciences. In this context, the question of whether a given knowledge practice is too disciplinary, or interdisciplinary, or not disciplinary enough has become an issue for governments, research policy makers and funding agencies. Interdisciplinarity, in short, has emerged as a key political preoccupation; yet the term tends to obscure as much as illuminate the diverse practices gathered under its rubric. This volume offers a new approach to theorising interdisciplinarity, showing how the boundaries between the social and natural sciences are being reconfigured. It examines the current preoccupation with interdisciplinarity, notably the ascendance of a particular discourse in which it is associated with a transformation in the relations between science, technology and society. Contributors address attempts to promote collaboration between, on the one hand, the natural sciences and engineering and, on the other, the social sciences, arts and humanities. From ethnography in the IT industry to science and technology studies, environmental science to medical humanities, cybernetics to art-science, the collection interrogates how interdisciplinarity has come to be seen as a solution not only to enhancing relations between science and society, but the pursuit of accountability and the need to foster innovation. Interdisciplinarity is essential reading for scholars, students and policy makers across the social sciences, arts and humanities, including anthropology, geography, sociology, science and technology studies and cultural studies, as well as all those engaged in interdisciplinary research. It will have particular relevance for those concerned with the knowledge economy, science policy, environmental politics, applied anthropology, ELSI research, medical humanities, and art-science. |
| computer science interdisciplinary approach: The Integration of the Humanities and Arts with Sciences, Engineering, and Medicine in Higher Education National Academies of Sciences, Engineering, and Medicine, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on Integrating Higher Education in the Arts, Humanities, Sciences, Engineering, and Medicine, 2018-06-21 In the United States, broad study in an array of different disciplines â€arts, humanities, science, mathematics, engineering†as well as an in-depth study within a special area of interest, have been defining characteristics of a higher education. But over time, in-depth study in a major discipline has come to dominate the curricula at many institutions. This evolution of the curriculum has been driven, in part, by increasing specialization in the academic disciplines. There is little doubt that disciplinary specialization has helped produce many of the achievement of the past century. Researchers in all academic disciplines have been able to delve more deeply into their areas of expertise, grappling with ever more specialized and fundamental problems. Yet today, many leaders, scholars, parents, and students are asking whether higher education has moved too far from its integrative tradition towards an approach heavily rooted in disciplinary silos. These silos represent what many see as an artificial separation of academic disciplines. This study reflects a growing concern that the approach to higher education that favors disciplinary specialization is poorly calibrated to the challenges and opportunities of our time. The Integration of the Humanities and Arts with Sciences, Engineering, and Medicine in Higher Education examines the evidence behind the assertion that educational programs that mutually integrate learning experiences in the humanities and arts with science, technology, engineering, mathematics, and medicine (STEMM) lead to improved educational and career outcomes for undergraduate and graduate students. It explores evidence regarding the value of integrating more STEMM curricula and labs into the academic programs of students majoring in the humanities and arts and evidence regarding the value of integrating curricula and experiences in the arts and humanities into college and university STEMM education programs. |
| computer science interdisciplinary approach: Critical Discourse Analysis Thao Le, Megan Short, 2009 The title of this book 'Critical Discourse Analysis: An Interdisciplinary Perspective' is purposely chosen to emphasise the interdisciplinary nature of critical discourse analysis (CDA). This book has the following key features: The chapter authors bring to the book their diversified backgrounds. They are linguists, educators, computer scientists, health professionals, and social consultants. Although they all share a common interest in CDA, their academic and cultural experiences are different and this intercultural and interdisciplinary feature provides interesting insights into the understanding of CDA and its wider application. Thus, it appeals to a wide range of readers such as students, educators, researchers, health professionals and others. The book is divided into three parts to reflect the main interdisciplinary aspects of CDA: Part One is about some introductory aspects of CDA. It gives readers some basic ideas about CDA as an emerging field. Part Two is on CDA across different subjects and disciplines such as language education, information technology, and heath sciences. Part Three deals with CDA across cultures. It includes the use of CDA in examining social and linguistic issues in different nations and cultures such as Spain, Nigeria, Indonesia, New Zealand. For those who do not have backgrounds in linguistics, two introductory chapters on aspects of linguistics and functional grammar, which are relevant to CDA, are included in this book. They are essential for understanding CDA. |
| computer science interdisciplinary approach: Introduction to Programming in Java Robert Sedgewick, Kevin Wayne, 2017-04-04 This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Programming skills are indispensable in today’s world, not just for computer science students, but also for anyone in any scientific or technical discipline. Introduction to Programming in Java, Second Edition, by Robert Sedgewick and Kevin Wayne is an accessible, interdisciplinary treatment that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students and professionals to learn that programming is a natural, satisfying, and creative experience, and to become conversant with one of the world’s most widely used languages. This example-driven guide focuses on Java’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science. Coverage includes Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables Applications from applied math, physics, chemistry, biology, and computer science Drawing on their extensive classroom experience, throughout the text the authors provide Q&As, exercises, and opportunities for creative engagement with the material. Together with the companion materials described below, this book empowers people to pursue a modern approach to teaching and learning programming. Companion web site (introcs.cs.princeton.edu/java) contains Chapter summaries Supplementary exercises, some with solutions Detailed instructions for installing a Java programming environment Program code and test data suitable for easy download Detailed creative exercises, projects, and other supplementary materials Companion studio-produced online videos (informit.com/sedgewick) are available for purchase and provide students and professionals with the opportunity to engage with the material at their own pace and give instructors the opportunity to spend their time with students helping them to succeed on assignments and exams. Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available. |
| computer science interdisciplinary approach: Introduction to Computer Science (First Edition) Perry Donham, 2018-08-09 Introduction to Computer Science introduces students to the fundamentals of computer science by connecting the dots between applications they use every day and the underlying technologies that power them. Throughout, students learn valuable technical skills including how to write simple JavaScript programs, format a webpage with HTML and CSS code, reduce the size of a file, and more. Opening chapters of the text provide students with historical background, describe the numbering systems that computers operate with, and explain how computers store and convert data such as images and music. Later chapters explore the anatomy of computer hardware such as CPUs and memory, how computers communicate over networks, and the programming languages that allow us to solve problems using computation. The book concludes with chapters dedicated to security and privacy, the structure and function of operating systems, and the world of e-commerce. Accessible in approach, Introduction to Computer Science is designed to help non-computer science majors learn how technology and computers power the world around them. The text is well suited for introductory courses in computer science. |
| computer science interdisciplinary approach: Learning in Humans and Machines European Science Foundation, 1996 Discusses the analysis, comparison and integration of computational approaches to learning and research on human learning. This book aims to provide the reader with an overview of the prolific research on learning throughout the disciplines. It also highlights the important research issues and methodologies. |
| computer science interdisciplinary approach: Interdisciplinary Approaches to Public Policy and Sustainability Rituparna Das, 2019 |
Computer - Wikipedia
A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern digital electronic computers can perform …
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article about modern digital electronic computers and their design, constituent …
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What is a computer? A computer is an electronic device that manipulates information, or data. It has the ability to store, retrieve, and process data. You may already know that you can use a …
What is a Computer? (Definition & Meaning) - Webopedia
Oct 9, 2024 · A computer is a programmable machine that responds to specific instructions and uses hardware and software to perform tasks. Different types of computers, including desktops, …
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A computer is a machine that uses electronics to input, process, store, and output data. Data is information such as numbers, words, and lists. Input of data means to read information from a …
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Computer - Wikipedia
A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern digital electronic computers can perform …
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article about modern digital electronic computers and their design, constituent …
What is a Computer?
Feb 6, 2025 · What is a Computer? A computer is a programmable device that stores, retrieves, and processes data. The term "computer" was originally given to humans (human computers) …
Micro Center - Computer & Electronics Retailer - Shop Now
Shop Micro Center for electronics, PCs, laptops, Apple products, and much more. Enjoy in-store pickup, top deals, and expert same-day tech support.
What is a Computer? - GeeksforGeeks
Apr 7, 2025 · A computer is an electronic device that processes, stores, and executes instructions to perform tasks. It includes key components such as the CPU (Central Processing Unit), RAM …
Computer Basics: What is a Computer? - GCFGlobal.org
What is a computer? A computer is an electronic device that manipulates information, or data. It has the ability to store, retrieve, and process data. You may already know that you can use a …
What is a Computer? (Definition & Meaning) - Webopedia
Oct 9, 2024 · A computer is a programmable machine that responds to specific instructions and uses hardware and software to perform tasks. Different types of computers, including desktops, …
Computer - Simple English Wikipedia, the free encyclopedia
A computer is a machine that uses electronics to input, process, store, and output data. Data is information such as numbers, words, and lists. Input of data means to read information from a …
Laptop & Desktop Computers - Staples
Buy the computer that fits your exact needs. Choose from laptops, desktops PCs, notebooks, and accessories. Invest in a quality computer for work or personal use.
What is Computer? Definition, Characteristics and Classification
Aug 7, 2024 · A computer is an electronic device wherein we need to input raw data to be processed with a set of programs to produce a desirable output. Computers have the ability to …
