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| stanford online master's computer science: Mining of Massive Datasets Jure Leskovec, Jurij Leskovec, Anand Rajaraman, Jeffrey David Ullman, 2014-11-13 Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets. |
| stanford online master's computer science: Reservoir Geomechanics Mark D. Zoback, 2010-04-01 This interdisciplinary book encompasses the fields of rock mechanics, structural geology and petroleum engineering to address a wide range of geomechanical problems that arise during the exploitation of oil and gas reservoirs. It considers key practical issues such as prediction of pore pressure, estimation of hydrocarbon column heights and fault seal potential, determination of optimally stable well trajectories, casing set points and mud weights, changes in reservoir performance during depletion, and production-induced faulting and subsidence. The book establishes the basic principles involved before introducing practical measurement and experimental techniques to improve recovery and reduce exploitation costs. It illustrates their successful application through case studies taken from oil and gas fields around the world. This book is a practical reference for geoscientists and engineers in the petroleum and geothermal industries, and for research scientists interested in stress measurements and their application to problems of faulting and fluid flow in the crust. |
| stanford online master's computer science: Social and Economic Networks Matthew O. Jackson, 2010-11-01 Networks of relationships help determine the careers that people choose, the jobs they obtain, the products they buy, and how they vote. The many aspects of our lives that are governed by social networks make it critical to understand how they impact behavior, which network structures are likely to emerge in a society, and why we organize ourselves as we do. In Social and Economic Networks, Matthew Jackson offers a comprehensive introduction to social and economic networks, drawing on the latest findings in economics, sociology, computer science, physics, and mathematics. He provides empirical background on networks and the regularities that they exhibit, and discusses random graph-based models and strategic models of network formation. He helps readers to understand behavior in networked societies, with a detailed analysis of learning and diffusion in networks, decision making by individuals who are influenced by their social neighbors, game theory and markets on networks, and a host of related subjects. Jackson also describes the varied statistical and modeling techniques used to analyze social networks. Each chapter includes exercises to aid students in their analysis of how networks function. This book is an indispensable resource for students and researchers in economics, mathematics, physics, sociology, and business. |
| stanford online master's computer science: Introduction to Mathematical Thinking Keith J. Devlin, 2012 Mathematical thinking is not the same as 'doing math'--unless you are a professional mathematician. For most people, 'doing math' means the application of procedures and symbolic manipulations. Mathematical thinking, in contrast, is what the name reflects, a way of thinking about things in the world that humans have developed over three thousand years. It does not have to be about mathematics at all, which means that many people can benefit from learning this powerful way of thinking, not just mathematicians and scientists.--Back cover. |
| stanford online master's computer science: An Introduction to Statistical Learning Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor, 2023-06-30 An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users. |
| stanford online master's computer science: Your First Year Teaching Computer Science Chris Gregg, 2021-01-11 |
| stanford online master's computer science: Foundations of Security Christoph Kern, Anita Kesavan, Neil Daswani, 2007-05-11 Foundations of Security: What Every Programmer Needs to Know teaches new and current software professionals state-of-the-art software security design principles, methodology, and concrete programming techniques they need to build secure software systems. Once you're enabled with the techniques covered in this book, you can start to alleviate some of the inherent vulnerabilities that make today's software so susceptible to attack. The book uses web servers and web applications as running examples throughout the book. For the past few years, the Internet has had a wild, wild west flavor to it. Credit card numbers are stolen in massive numbers. Commercial web sites have been shut down by Internet worms. Poor privacy practices come to light and cause great embarrassment to the corporations behind them. All these security-related issues contribute at least to a lack of trust and loss of goodwill. Often there is a monetary cost as well, as companies scramble to clean up the mess when they get spotlighted by poor security practices. It takes time to build trust with users, and trust is hard to win back. Security vulnerabilities get in the way of that trust. Foundations of Security: What Every Programmer Needs To Know helps you manage risk due to insecure code and build trust with users by showing how to write code to prevent, detect, and contain attacks. The lead author co-founded the Stanford Center for Professional Development Computer Security Certification. This book teaches you how to be more vigilant and develop a sixth sense for identifying and eliminating potential security vulnerabilities. You'll receive hands-on code examples for a deep and practical understanding of security. You'll learn enough about security to get the job done. |
| stanford online master's computer science: Java Programming Ralph Bravaco, Shai Simonson, 2009-02-01 Java Programming, From The Ground Up, with its flexible organization, teaches Java in a way that is refreshing, fun, interesting and still has all the appropriate programming pieces for students to learn. The motivation behind this writing is to bring a logical, readable, entertaining approach to keep your students involved. Each chapter has a Bigger Picture section at the end of the chapter to provide a variety of interesting related topics in computer science. The writing style is conversational and not overly technical so it addresses programming concepts appropriately. Because of the flexibile organization of the text, it can be used for a one or two semester introductory Java programming class, as well as using Java as a second language. The text contains a large variety of carefully designed exercises that are more effective than the competition. |
| stanford online master's computer science: Signal , 2005 |
| stanford online master's computer science: Professional C++ Nicholas A. Solter, Scott J. Kleper, 2005-01-07 Geared to experienced C++ developers who may not be familiar with the more advanced features of the language, and therefore are not using it to its full capabilities Teaches programmers how to think in C++-that is, how to design effective solutions that maximize the power of the language The authors drill down into this notoriously complex language, explaining poorly understood elements of the C++ feature set as well as common pitfalls to avoid Contains several in-depth case studies with working code that's been tested on Windows, Linux, and Solaris platforms |
| stanford online master's computer science: Mathematics for Machine Learning Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong, 2020-04-23 The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site. |
| stanford online master's computer science: The Founder's Dilemmas Noam Wasserman, 2013-04 The Founder's Dilemmas examines how early decisions by entrepreneurs can make or break a startup and its team. Drawing on a decade of research, including quantitative data on almost ten thousand founders as well as inside stories of founders like Evan Williams of Twitter and Tim Westergren of Pandora, Noam Wasserman reveals the common pitfalls founders face and how to avoid them. |
| stanford online master's computer science: Analytics and Knowledge Management Suliman Hawamdeh, Hsia-Ching Chang, 2018-08-06 The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms. |
| stanford online master's computer science: Introduction to Neal Mohan Gilad James, PhD, Neal Mohan is a highly successful Indian-American businessman and computer engineer who has developed some of the best-known digital media platforms in the world. Starting his career at Microsoft, Mohan rose through the ranks and eventually became the head of display advertising for Google, where he led the redesign of one of the company's flagship products, AdSense. After a brief stint at YouTube, he returned to Google to oversee all of the company's advertising products, as well as its core search and display businesses. In 2018, he became the Chief Product Officer of YouTube, where he has continued to drive innovation and growth. Mohan is widely regarded as one of the most influential figures in the digital advertising industry, and his contributions to the development of online marketing platforms have had a significant impact on the way we consume digital content. His expertise in engineering, product management, and marketing has enabled him to create products that are both incredibly effective and user-friendly. Throughout his career, he has demonstrated a strong commitment to using technology to improve people's lives and has been recognized for his contributions with several awards and accolades. In many ways, Mohan represents the future of digital media, and is poised to continue shaping the industry for years to come. |
| stanford online master's computer science: Best Practices in State and Regional Innovation Initiatives National Research Council, Policy and Global Affairs, Board on Science, Technology, and Economic Policy, Committee on Competing in the 21st Century: Best Practice in State and Regional Innovation Initiatives, 2013-06-04 Most of the policy discussion about stimulating innovation has focused on the federal level. This study focuses on the significant activity at the state level, with the goal of improving the public's understanding of key policy strategies and exemplary practices. Based on a series of workshops and conferences that brought together policymakers along with leaders of industry and academia in a select number of states, the study highlights a rich variety of policy initiatives underway at the state and regional level to foster knowledge based growth and employment. Perhaps what distinguishes this effort at the state level is most of all the high degree of pragmatism. Operating out of necessity, innovation policies at the state level often involve taking advantage of existing resources and recombining them in new ways, forging innovative partnerships among universities, industry and government organizations, growing the skill base, and investing in the infrastructure to develop new technologies and new industries. Many of these initiatives are being guided by leaders from the private sector and universities. The objective of Best Practices in State and Regional Innovation Initiatives: Competing in the 21st Century is not to do an empirical review of the inputs and outputs of various state programs. Nor is it to evaluate which programs are superior. Indeed, some of the notable successes, such as the Albany nanotechnology cluster, represent a leap of leadership, investment, and sustained commitment that has had remarkable results in an industry that is actively pursued by many countries. The study's goal is to illustrate the approaches taken by a variety of highly diverse states as they confront the increasing challenges of global competition for the industries and jobs of today and tomorrow. |
| stanford online master's computer science: Network World , 2003-04-28 For more than 20 years, Network World has been the premier provider of information, intelligence and insight for network and IT executives responsible for the digital nervous systems of large organizations. Readers are responsible for designing, implementing and managing the voice, data and video systems their companies use to support everything from business critical applications to employee collaboration and electronic commerce. |
| stanford online master's computer science: Advances in Cyber Security D. Frank Hsu, Dorothy Marinucci, 2013-03 As you read this, your computer is in jeopardy of being hacked and your identity being stolen. Read this book to protect yourselves from this threat.The world's foremost cyber security experts, from Ruby Lee, Ph.D., the Forrest G. Hamrick professor of engineering and Director of the Princeton Architecture Laboratory for Multimedia and Security (PALMS) at Princeton University; to Nick Mankovich, Chief Information Security Officer of Royal Philips Electronics; to FBI Director Robert S. Mueller III; to Special Assistant to the President Howard A. Schmidt, share critical practical knowledge on how the cyberspace ecosystem is structured, how it functions, and what we can do to protect it and ourselves fromattack and exploitation.The proliferation of social networking and advancement of information technology provide endless benefits in our living and working environments. However, these benefits also bring horrors in various forms of cyber threats andexploitations. Advances in Cyber Security collects the wisdom of cyber security professionals and practitioners from government, academia, and industry across national and international boundaries to provide ways and means to secure and sustain the cyberspace ecosystem. Readers are given a first-hand look at critical intelligence on cybercrime and security--including details of real-life operations. The vast, useful knowledge and experience shared in this essential new volume enables cyber citizens and cyber professionals alike to conceive novel ideasand construct feasible and practical solutions for defending against all kinds of adversaries and attacks.Among the many important topics covered in this collection are building a secure cyberspace ecosystem; public-private partnership to secure cyberspace; operation and law enforcement to protect our cyber citizens and to safeguard our cyber infrastructure; and strategy and policy issues to secure and sustain our cyber ecosystem. |
| stanford online master's computer science: A Decade of MOOCs and Beyond Irwin King, Wei-I Lee, 2022-12-14 This book is an academic publication about the global development of massive open online courses (MOOCs) and major MOOC platforms worldwide in the past decade, as well as the outlook of MOOCs in the future, with an emphasis on Greater China. The book also discusses the upsurge of the demand for online learning and MOOCs during the COVID-19 pandemic. The book is divided into three main parts - Part I: Overview of MOOCs introduces the origin and history of MOOCs and the development of MOOC platforms in Greater China and the global context; Part II: Key Issues discuss the MOOC policies, innovative pedagogy, technology, and ecosystems worldwide; and Part III: Beyond MOOCs probes into the roles and benefits of MOOCs in times of crises, as well as the outlook of MOOCs in the future. In terms of topic diversity, the book contains a comprehensive investigation of the past and latest MOOC developments, extracting and elaborating on relevant information regarding platforms, policies, pedagogy, technology, and ecosystems. Subsequently, in-depth analyses of MOOC data are utilized to deduce the current trends related to the MOOC movement and to extrapolate the likeliest direction of development for MOOCs in the years to come. The book can inform policymakers, education institutions, course instructors, platform developers, investors, researchers, and individual learners of MOOCs about critical information on the present and future of MOOC development, assisting them in making crucial decisions on what initiatives can optimize their advantages in the sector. |
| stanford online master's computer science: Serving Online Customers Donald A. Barclay, 2014-07-23 To compete in the digital age, libraries must provide outstanding customer service to their virtual users. Serving Online Customers: Lessons for Libraries from the Business World is a practical guide to help libraries adopt and adapt the best practices of e-business for their own online operations. |
| stanford online master's computer science: Keeping College Within Reach United States. Congress. House. Committee on Education and the Workforce. Subcommittee on Higher Education and Workforce Training, 2014 |
| stanford online master's computer science: Electronic Scientific, Technical, and Medical Journal Publishing and Its Implications National Research Council, Policy and Global Affairs, Committee on Science, Engineering, and Public Policy, Committee on Electronic Scientific, Technical, and Medical Journal Publishing, 2005-05-24 This report is the proceedings of a 2003 symposium on Electronic Scientific, Technical, and Medical Journal Publishing and Its Implications, which brought together experts in STM publishing, both producers and users of these publications, to: (1) identify the recent technical changes in publishing, and other factors, that influence the decisions of journal publishers to produce journals electronically; (2) identify the needs of the scientific, engineering, and medical community as users of journals, whether electronic or printed; (3) discuss the responses of not-for-profit and commercial STM publishers and of other stakeholders in the STM community to the opportunities and challenges posed by the shift to electronic publishing; and (4) examine the spectrum of proposals that has been put forth to respond to the needs of users as the publishing industry shifts to electronic information production and dissemination. |
| stanford online master's computer science: Twenty Lectures on Algorithmic Game Theory Tim Roughgarden, 2016-08-30 Computer science and economics have engaged in a lively interaction over the past fifteen years, resulting in the new field of algorithmic game theory. Many problems that are central to modern computer science, ranging from resource allocation in large networks to online advertising, involve interactions between multiple self-interested parties. Economics and game theory offer a host of useful models and definitions to reason about such problems. The flow of ideas also travels in the other direction, and concepts from computer science are increasingly important in economics. This book grew out of the author's Stanford University course on algorithmic game theory, and aims to give students and other newcomers a quick and accessible introduction to many of the most important concepts in the field. The book also includes case studies on online advertising, wireless spectrum auctions, kidney exchange, and network management. |
| stanford online master's computer science: Audio Anecdotes III Ken Greenebaum, Ronen Barzel, 2007-11-29 This collection of articles provides practical and relevant tools, tips, and techniques for those working in the digital audio field. Volume III, with contributions from experts in their fields, includes articles on a variety of topics, including: - Recording Music - Sound Synthesis - Voice Synthesis - Speech Processing - Applied Signal Processing |
| stanford online master's computer science: Machine Learning in Insurance Jens Perch Nielsen, Alexandru Asimit, Ioannis Kyriakou, 2020-12-02 Machine learning is a relatively new field, without a unanimous definition. In many ways, actuaries have been machine learners. In both pricing and reserving, but also more recently in capital modelling, actuaries have combined statistical methodology with a deep understanding of the problem at hand and how any solution may affect the company and its customers. One aspect that has, perhaps, not been so well developed among actuaries is validation. Discussions among actuaries’ “preferred methods” were often without solid scientific arguments, including validation of the case at hand. Through this collection, we aim to promote a good practice of machine learning in insurance, considering the following three key issues: a) who is the client, or sponsor, or otherwise interested real-life target of the study? b) The reason for working with a particular data set and a clarification of the available extra knowledge, that we also call prior knowledge, besides the data set alone. c) A mathematical statistical argument for the validation procedure. |
| stanford online master's computer science: Digital Marketing Expert Diploma (Master’s level) - City of London College of Economics - 10 months - 100% online / self-paced City of London College of Economics, Overview In this course you will learn all you need to know to become a Digital Marketing Expert. As you surely know, Digital Marketing Specialists are in high demand and well paid. Content - Digital Marketing Strategy - Market Research - Crowdsourcing - Web Development and Design - Writing for the Web - Mobile Development - Email Marketing - Online Advertising - Affiliate Marketing - Search Engine Marketing - Search Engine Optimisation - PPC Advertising - And much more Duration 10 months Assessment The assessment will take place on the basis of one assignment at the end of the course. Tell us when you feel ready to take the exam and we’ll send you the assignment questions. Study material The study material will be provided in separate files by email / download link. |
| stanford online master's computer science: The Economics of Information in the Networked Environment Meredith A. Butler, Bruce R. Kingma, 2019-12-06 In this book, first published in 1998, world-renowned experts on the subject of contemporary librarianship analyse the problems associated with coping with an ever-expanding knowledge base, given their current economic constraints and budgets. It examines challenging marketplace solutions to problems in the economics of information; economic modelling of investments in information resources at academic institutions; the economics of resource sharing, consortia, and document delivery; and measuring the costs and benefits of distance learning. |
| stanford online master's computer science: Partial Evaluation: Practice and Theory John Hatcliff, Torben Mogensen, Peter Thiemann, 2007-07-16 As the complexity of software increases, researchers and practicioners continue to seek better techniques for engineering the construction of evolution of software. Partial evaluation is an attractive technology for modern software construction since it provides automatic tools for software specialization and is based on rigorous semantic foundations. This book is based on a school held at DIKU Copenhagen, Denmark in summer 1998 during which leading researchers summarized the state of the art in partial evaluation. The lectures presented survey the foundations of partial evaluation in a clear and rigorous manner and practically introduce several existing partial evaluators with numerous examples. The second part of the book is devoted to more sophisticated theoretical aspects, advances systems and applications, and highlights open problems and challenges. The book is ideally suited for advanced courses and for self study. |
| stanford online master's computer science: Bringing Iterative Design to Ubiquitous Computing Rafael A. Ballagas, 2008 |
| stanford online master's computer science: Computerworld , 1988-03-28 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
| stanford online master's computer science: AI and Society Sheena Lovia Boateng, Richard Boateng, 2025-05-02 In recent years, the profound impact of artificial intelligence (AI) on fostering new forms of entrepreneurship has become increasingly evident. Entrepreneurs worldwide are harnessing the capabilities of AI to develop innovative solutions and create businesses that address pressing challenges. Despite the growing recognition of AI’s potential, there exists a crucial need to deepen understanding and awareness surrounding how individuals are leveraging AI to establish novel ventures. Many entrepreneurs are pioneering initiatives that deploy AI technologies to tackle complex problems. This challenge revolves around the imperative to explore, document, and comprehend the diverse ways in which AI is driving the emergence of new businesses, solving real-world problems, and reshaping the entrepreneurial landscape. It underscores the necessity for entrepreneurs, researchers, and the wider community to grasp the transformative role of AI in fostering innovation and enabling the creation of businesses dedicated to addressing societal issues. Addressing this challenge will contribute to a more comprehensive understanding of the synergy between AI and entrepreneurship, paving the way for informed and impactful ventures that leverage the full potential of AI technologies. This book addresses the broader societal implications of AI, focusing on policy, education, and ethical considerations. It reviews national AI policies in Africa, explores AI-powered innovation in STEM education, and investigates the use of AI in fraudulent activities. It also discusses the integration of AI in the transport sector of developing countries, highlighting its potential to revolutionize infrastructure and services. In addition, it provides a holistic view of AI’s impact on society, emphasizing the need for ethical guidelines, regulatory frameworks, and continuous learning to harness AI responsibly. In a comparative analysis, it presents an exploration into the landscape of top-rated AI freelancers across Europe, North America, and South America, focusing on the intersection of gender and professional success in this burgeoning sector. It concludes with a discussion on the role of AI in the future of accounting in emerging economies. |
| stanford online master's computer science: Visualizations and Dashboards for Learning Analytics Muhittin Sahin, Dirk Ifenthaler, 2021-12-16 This edited volume fills the gaps in existing literature on visualization and dashboard design for learning analytics. To do so, it presents critical tips to stakeholders and acts as guide to efficient implementation. The book covers the following topics: visualization and dashboard design for learning analytics, visualization and dashboard preferences of stakeholders, learners’ patterns on the dashboard, usability of visualization techniques and the dashboard, dashboard and intervention design, learning and instructional design for learning analytics, privacy and security issues about the dashboard, and future directions of visualization and dashboard design. This book will be of interest to researchers with interest in learning analytics and data analytics, teachers and students in higher education institutions and instructional designers, as it includes contributions from a wide variety of educational and psychological researchers, engineers, instructional designers, learning scientists, and computer scientists interested in learning analytics. |
| stanford online master's computer science: Reimagining Digital Learning for Sustainable Development Sheila Jagannathan, 2021-06-22 Reimagining Digital Learning for Sustainable Development is a comprehensive playbook for education leaders, policy makers, and other key stakeholders leading the modernization of learning and development in their institutions as they build a high value knowledge economy and prepare learners for jobs that don't yet exist. Currently, nearly every aspect of human activity, including the ways we absorb and apply learning, is influenced by disruptive digital technologies. The jobs available today are no longer predicators of future employment, and current and future workforce members will need to augment their competencies through a lifetime of continuous upskilling and reskilling to meet the demands of the Fourth Industrial Revolution. This book features curated insights and real-world cases from thought leaders throughout the world and identifies major shifts in content formats, pedagogic approaches, technology frameworks, user and design experiences, and learner roles and expectations that will reshape our institutions, including those in emerging economies. The agile, lean, and cost-effective strategies proposed here will function in scalable and flexible bandwidth environments, enabling education leaders and practitioners to transform brick-and-mortar learning organizations into digital and blended ecosystems and to achieve the United Nation’s ambitious Sustainable Development Goals by 2030. Chapter 18 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license. |
| stanford online master's computer science: Computerworld , 2003-04-28 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
| stanford online master's computer science: Online Computation and Competitive Analysis Allan Borodin, Ran El-Yaniv, 2005-02-17 Contains theoretical foundations, applications, and examples of competitive analysis for online algorithms. |
| stanford online master's computer science: Security, Trust, and Regulatory Aspects of Cloud Computing in Business Environments Srinivasan, S., 2014-03-31 Emerging as an effective alternative to organization-based information systems, cloud computing has been adopted by many businesses around the world. Despite the increased popularity, there remain concerns about the security of data in the cloud since users have become accustomed to having control over their hardware and software. Security, Trust, and Regulatory Aspects of Cloud Computing in Business Environments compiles the research and views of cloud computing from various individuals around the world. Detailing cloud security, regulatory and industry compliance, and trust building in the cloud, this book is an essential reference source for practitioners, professionals, and researchers worldwide, as well as business managers interested in an assembled collection of solutions provided by a variety of cloud users. |
| stanford online master's computer science: Health Informatics Evelyn J. S. Hovenga, 2010 This second, extensively revised and updated edition of Health Informatics: An Overview includes new topics which address contemporary issues and challenges and shift the focus on the health problem space towards a computer perspective. |
| stanford online master's computer science: Communicating Sustainability for the Green Economy Lynn R. Kahle, Eda Gurel-Atay, 2013-10-01 With chapters written by experts in their field, this volume advances the understanding of theory and successful practice of marketing and promoting environmental sustainability. The book includes topics such corporate advertising strategy related to sustainability, corporate social responsibility advertising, greenwashing, advertising related to values, persuasion and persuasion knowledge in sustainability marketing, social media and sustainability, and advertising and public policy. |
| stanford online master's computer science: The Internet and Mobile Technology Marvin Zelkowitz, 2011-04-19 This series, since its first volume in 1960 and now the oldest series still being published, covers new developments in computer technology. Each volume contains from 5 to 7 chapters and 3 volumes are produced annually. Most chapters present an overview of a current subfield within computer science, include many citations, and often new developments in the field by the authors of the individual chapters. Topics include hardware, software, web technology, communications, theoretical underpinnings of computing, and novel applications of computers. The book series is a valuable addition to university courses that emphasize the topics under discussion in that particular volume as well as belonging on the bookshelf of industrial practitioners who need to implement many of the technologies that are described. - In-depth surveys and tutorials on new computer technology - Well-known authors and researchers in the field - Extensive bibliographies with most chapters - Many of the volumes are devoted to single themes or subfields of computer science |
| stanford online master's computer science: Go Google Greg Holden, 2008 This is a comprehensive guide to everything readers need to know about Google's myriad applications, including Google Apps, Docs and Spreadhseets, Google SMS, Goggle Base and other services that will help businesses get organised and get noticed. |
| stanford online master's computer science: The Cambridge Companion to Electronic Music Nick Collins, Julio d'Escrivan, 2017-10-30 Musicians are always quick to adopt and explore new technologies. The fast-paced changes wrought by electrification, from the microphone via the analogue synthesiser to the laptop computer, have led to a wide range of new musical styles and techniques. Electronic music has grown to a broad field of investigation, taking in historical movements such as musique concrète and elektronische Musik, and contemporary trends such as electronic dance music and electronica. The first edition of this book won the 2009 Nicolas Bessaraboff Prize as it brought together researchers at the forefront of the sonic explorations empowered by electronic technology to provide accessible and insightful overviews of core topics and uncover some hitherto less publicised corners of worldwide movements. This updated and expanded second edition includes four entirely new chapters, as well as new original statements from globally renowned artists of the electronic music scene, and celebrates a diverse array of technologies, practices and music. |
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