| data science degree asu: Future Rising Andrew Maynard, 2020-10-27 A scientist offers compelling visions and potential pitfalls of the future—in “a journey through time, space, and the human experience” (Dr. Tanya Harrison, coauthor of For All Humankind). Humanity has gained the ability not only to imagine the future, but to design and engineer it. At times entertaining, and at others profound, Future Rising provides an original perspective on our relationship with the future. As a species, we’ve become talented architects of our future—yet we often struggle to come to terms with what this means. As innovation and rapidly shifting norms and expectations drive our world at breakneck speed, we sometimes need to find a still, quiet place to pause and think. Future Rising creates such a place, where we can take advantage of our species’ knowledge of world history and the importance of science to piece together a positive future. To create a good future, we must rediscover the past. Our relationship with the future is inextricably intertwined with where we’ve come from, who we are, and what we aspire to. Future Rising starts at the beginning of all things with the Big Bang and traces a pathway along the emergence of intelligent life, through what makes humans uniquely capable of imagining and creating different futures. In a series of sixty short reflections, Andrew Maynard, a former physicist and nationally recognized expert in technology and society, will take you on a journey into: What “the future” actually is How it molds and guides our lives How we can use the history of the world to change our future “A thoughtful and thought-provoking response to the moment we’re in, chronicling how we got here, where we’re going, and what role we have in that journey.” —Ramona Pringle, Director of Creative Innovation Studio and Associate Professor, Ryerson University |
| data science degree asu: Computer Science Handbook Allen B. Tucker, 2004-06-28 When you think about how far and fast computer science has progressed in recent years, it's not hard to conclude that a seven-year old handbook may fall a little short of the kind of reference today's computer scientists, software engineers, and IT professionals need. With a broadened scope, more emphasis on applied computing, and more than 70 chap |
| data science degree asu: Designing the New American University Michael M. Crow, William B. Dabars, 2015-03-15 A radical blueprint for reinventing American higher education. America’s research universities consistently dominate global rankings but may be entrenched in a model that no longer accomplishes their purposes. With their multiple roles of discovery, teaching, and public service, these institutions represent the gold standard in American higher education, but their evolution since the nineteenth century has been only incremental. The need for a new and complementary model that offers broader accessibility to an academic platform underpinned by knowledge production is critical to our well-being and economic competitiveness. Michael M. Crow, president of Arizona State University and an outspoken advocate for reinventing the public research university, conceived the New American University model when he moved from Columbia University to Arizona State in 2002. Following a comprehensive reconceptualization spanning more than a decade, ASU has emerged as an international academic and research powerhouse that serves as the foundational prototype for the new model. Crow has led the transformation of ASU into an egalitarian institution committed to academic excellence, inclusiveness to a broad demographic, and maximum societal impact. In Designing the New American University, Crow and coauthor William B. Dabars—a historian whose research focus is the American research university—examine the emergence of this set of institutions and the imperative for the new model, the tenets of which may be adapted by colleges and universities, both public and private. Through institutional innovation, say Crow and Dabars, universities are apt to realize unique and differentiated identities, which maximize their potential to generate the ideas, products, and processes that impact quality of life, standard of living, and national economic competitiveness. Designing the New American University will ignite a national discussion about the future evolution of the American research university. |
| data science degree asu: Careers in Libraries, Museums and Archives Canada. Employment and Immigration Canada (Commission). Occupational and Career Analysis and Development, 1978 |
| data science degree asu: Sustainable Built Environments Vivian Loftness, 2020-09-23 This volume in the Encyclopedia of Sustainability Science and Technology, Second Edition, describes the breadth of science and engineering knowledge critical to advancing sustainable built environments, from architecture and design, mechanical engineering, lighting, and materials to water and energy, public policy, and economics. Covering both building, landscape and green infrastructure design and management, detailed consideration is given to how the building sector, the biggest player in the energy use equation, can minimize energy demand while providing measurable gains for productivity, health, and the environment. With a focus on the environmental context, the reader will understand how sustainable design merges the natural, minimum resource conditioning solutions of the past (daylight, solar heat, and natural ventilation) with the innovative technologies including nature-based solutions of the present. The desired result is an integrated “intelligent” and as socially “just as possible” system that supports individual control with expert negotiation for resource consciousness. |
| data science degree asu: Brain-Based Learning and Education Yi-Yuan Tang, 2017-04-22 Brain-Based Learning and Education presents a new type of education that uses brain-based and self-control theory-driven training. Leaving aside the current focus in education on content knowledge, it examines essential character strengths such as selfcontrol, persistence, creativity, attention, memory, and social learning, and relates their relevance to learning. By bridging the research and application gap in education, this text not only covers the latest findings related to learning and teaching but also provides insights for application and practice for brain-based methods in health and education. This integration of neuroscience and education takes us from a deep understanding of brain function to the frontline of the classroom. - Explains an integrative training mechanisms from the behavioral, neuroscientific, and physiological perspectives - Presents brain-based practice methods that can be readily applied to the education system - Addresses additional issues, such as stress, wandering mind, and individuality - Includes stories and findings related to the brain, learning, and teaching |
| data science degree asu: COMPUGIRLS Kimberly A. Scott, 2021-10-19 What does is it mean for girls of color to become techno-social change agents--individuals who fuse technological savvy with a deep understanding of society in order to analyze and confront inequality? Kimberly A. Scott explores this question and others as she details the National Science Foundation-funded enrichment project COMPUGIRLS. This groundbreaking initiative teaches tech skills to adolescent girls of color but, as importantly, offers a setting that emphasizes empowerment, community advancement, and self-discovery. Scott draws on her experience as an architect of COMPUGIRLS to detail the difficulties of translating participants' lives into a digital context while tracing how the program evolved. The dramatic stories of the participants show them blending newly developed technical and communication skills in ways designed to spark effective action and bring about important change. A compelling merger of theory and storytelling, COMPUGIRLS provides a much-needed roadmap for understanding how girls of color can find and define their selves in today's digital age. |
| data science degree asu: Learning How to Learn Barbara Oakley, PhD, Terrence Sejnowski, PhD, Alistair McConville, 2018-08-07 A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course Learning How to Learn have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid rut think in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun. |
| data science degree asu: University and School Collaborations During a Pandemic Fernando M. Reimers, Francisco J. Marmolejo, 2022 Based on twenty case studies of universities worldwide, and on a survey administered to leaders in 101 universities, this open access book shows that, amidst the significant challenges caused by the COVID-19 pandemic, universities found ways to engage with schools to support them in sustaining educational opportunity. In doing so, they generated considerable innovation, which reinforced the integration of the research and outreach functions of the university. The evidence suggests that universities are indeed open systems, in interaction with their environment, able to discover changes that can influence them and to change in response to those changes. They are also able, in the success of their efforts to mitigate the educational impact of the pandemic, to create better futures, as the result of the innovations they can generate. This challenges the view of universities as ivory towers being isolated from the surrounding environment and detached from local problems. As they reached out to schools, universities not only generated clear and valuable innovations to sustain educational opportunity and to improve it, this process also contributed to transform internal university processes in ways that enhanced their own ability to deliver on the third mission of outreach |
| data science degree asu: Strategies in Biomedical Data Science Jay A. Etchings, 2017-01-03 An essential guide to healthcare data problems, sources, and solutions Strategies in Biomedical Data Science provides medical professionals with much-needed guidance toward managing the increasing deluge of healthcare data. Beginning with a look at our current top-down methodologies, this book demonstrates the ways in which both technological development and more effective use of current resources can better serve both patient and payer. The discussion explores the aggregation of disparate data sources, current analytics and toolsets, the growing necessity of smart bioinformatics, and more as data science and biomedical science grow increasingly intertwined. You'll dig into the unknown challenges that come along with every advance, and explore the ways in which healthcare data management and technology will inform medicine, politics, and research in the not-so-distant future. Real-world use cases and clear examples are featured throughout, and coverage of data sources, problems, and potential mitigations provides necessary insight for forward-looking healthcare professionals. Big Data has been a topic of discussion for some time, with much attention focused on problems and management issues surrounding truly staggering amounts of data. This book offers a lifeline through the tsunami of healthcare data, to help the medical community turn their data management problem into a solution. Consider the data challenges personalized medicine entails Explore the available advanced analytic resources and tools Learn how bioinformatics as a service is quickly becoming reality Examine the future of IOT and the deluge of personal device data The sheer amount of healthcare data being generated will only increase as both biomedical research and clinical practice trend toward individualized, patient-specific care. Strategies in Biomedical Data Science provides expert insight into the kind of robust data management that is becoming increasingly critical as healthcare evolves. |
| data science degree asu: Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan Trajkovski, Goran, Demeter, Marylee, Hayes, Heather, 2022-05-06 Research in the domains of learning analytics and educational data mining has prototyped an approach where methodologies from data science and machine learning are used to gain insights into the learning process by using large amounts of data. As many training and academic institutions are maturing in their data-driven decision making, useful, scalable, and interesting trends are emerging. Organizations can benefit from sharing information on those efforts. Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan examines novel and emerging applications of data science and sister disciplines for gaining insights from data to inform interventions into learners’ journeys and interactions with academic institutions. Data is collected at various times and places throughout a learner’s lifecycle, and the learners and the institution should benefit from the insights and knowledge gained from this data. Covering topics such as learning analytics dashboards, text network analysis, and employment recruitment, this book is an indispensable resource for educators, computer scientists, faculty of higher education, government officials, educational administration, students of higher education, pre-service teachers, business professionals, researchers, and academicians. |
| data science degree asu: Big Data on Campus Karen L. Webber, Henry Y. Zheng, 2020-11-03 Webber, Henry Y. Zheng, Ying Zhou |
| data science degree asu: Art Entrepreneurship Mikael Scherdin, Ivo Zander, 2011 This pioneering book explores the connections between art and artistic processes and entrepreneurship. The authors expertly identify several areas and issues where research on art and artistic processes can inform and develop the traditional field of entrepreneurship research. |
| data science degree asu: Beyond Hashtags Sarah Florini, 2019-12-03 How black Americans use digital networks to organize and cultivate solidarity Unrest gripped Ferguson, Missouri, after Mike Brown, an unarmed black teenager, was shot and killed by Officer Darren Wilson in August 2014. Many black Americans turned to their digital and social media networks to circulate information, cultivate solidarity, and organize during that tumultuous moment. While Ferguson and the subsequent protests made black digital networks visible to mainstream media, these networks did not coalesce overnight. They were built and maintained over years through common, everyday use. Beyond Hashtags explores these everyday practices and their relationship to larger social issues through an in-depth analysis of a trans-platform network of black American digital and social media users and content creators. In the crucial years leading up to the emergence of the Movement for Black Lives, black Americans used digital networks not only to cope with day-to-day experiences of racism, but also as an incubator for the debates that have since exploded onto the national stage. Beyond Hashtags tells the story of an influential subsection of these networks, an assemblage of podcasting, independent media, Instagram, Vine, Facebook, and the network of Twitter users that has come to be known as “Black Twitter.” Florini looks at how black Americans use these technologies often simultaneously to create a space to reassert their racial identities, forge community, organize politically, and create alternative media representations and news sources. Beyond Hashtags demonstrates how much insight marginalized users have into technology. |
| data science degree asu: The Fifth Wave Michael M. Crow, William B. Dabars, 2020-04-14 Out of the crises of American higher education emerges a new class of large-scale public universities designed to accelerate social change through broad access to world-class knowledge production and cutting-edge technological innovation. America's research universities lead the world in discovery, creativity, and innovation—but are captive to a set of design constraints that no longer aligns with the changing needs of society. Their commitment to discovery and innovation, which is carried out largely in isolation from the socioeconomic challenges faced by most Americans, threatens to impede the capacity of these institutions to contribute decisively and consistently to the collective good. The global preeminence of our leading institutions, moreover, does not correlate with overall excellence in American higher education. Sadly, admissions practices that flatly exclude the majority of academically qualified applicants are now the norm in our leading universities, both public and private. In The Fifth Wave, Michael M. Crow and William B. Dabars argue that colleges and universities need to be comprehensively redesigned in order to educate millions more qualified students while leveraging the complementarities between discovery and accessibility. Building on the themes of their prior collaboration, Designing the New American University, this book examines the historical development of American higher education—the first four waves—and describes the emerging standard of institutions that will transform the field. What must emerge in this Fifth Wave of universities, Crow and Dabars posit, are institutions that are responsive to the needs of students, focused on access, embedded in their regions, and committed to solving global problems. The Fifth Wave in American higher education, Crow and Dabars write, comprises an emerging league of colleges and universities that aspires to accelerate positive social outcomes through the seamless integration of world-class knowledge production with cutting-edge technological innovation. This set of institutions is dedicated to the advancement of accessibility to the broadest possible demographic that is representative of the socioeconomic and intellectual diversity of our nation. Recognizing the fact that both cooperation and competition between universities is essential if higher education hopes to truly serve the needs of the nation, Fifth Wave schools like Arizona State University are already beginning to spearhead a network spanning academia, business and industry, government agencies and laboratories, and civil society organizations. Drawing from a variety of disciplines, including design, economics, public policy, organizational theory, science and technology studies, sociology, and even cognitive psychology and epistemology, The Fifth Wave is a must-read for anyone concerned with the future of higher education in our society. |
| data science degree asu: Bacterial Diversity and Systematics F.G. Priest, Alberto Ramos-Cormenzana, B.J. Tindall, 2012-12-06 Bacterial taxonomy as a specialized discipline is practised by a minority but the applications of taxonomy are important to most, if not all microbiologists. It is the implementation of taxonomic ideas and practises which gives rise to identification and typing systems, procedures for the analysis and characterization of biodiversity, hypotheses about the evolution of micro-organisms, and improved procedures for the isolation and implementation of bacteria in biotechnological processes. Without taxonomic theory providing a sound basis to these many facets of microbiology there would be severe problems faced by many scientists working with micro-organisms. Taxonomy comprises three sequential but independent processes; classification, nomenclature and identification. The first two stages are the prime concern of the specialist taxonomist but the third stage should result in identification schemes of value to all microbiologists. As the classification and identification of micro-organisms improves, largely due to the introduction of new technologies, so does its contribution to the subject as a whole. It therefore seemed timely to hold a conference in the autumn of 1993 devoted to microbial identification. Such a topic could not be addressed without some reference to the enabling discipline of classification, but the principal aims were to assess improvements in identification and typing and how these were benefiting microbiological topics ranging from ecological and biotechnological studies of extremophilic bacteria to the use of pyrolysis mass spectrometry in epidemiology. The meeting, which was held in Granada, Spain, was supported by FEMS (FEMS Symposium No. |
| data science degree asu: Artificial Intelligence and Human Performance in Transportation Dimitrios Ziakkas, Anastasios Plioutsias, 2024-10-30 Artificial Intelligence (AI) is a major technological advancement in the 21st century. With its influence spreading to all aspects of our lives and the engineering sector, establishing well-defined objectives is crucial for successfully integrating AI in the field of transportation. This book presents different ways of adopting emerging technologies in transportation operations, including security, safety, online training, and autonomous vehicle operations on land, sea, and air. This guide is a dynamic resource for senior management and decision-makers, with essential practical advice distilled from the expertise of specialists in the field. It addresses the most critical issues facing transportation service providers in adopting AI and investigates the relationship between the human operator and the technology to navigate what is and is not feasible or impossible. Case studies of actual implementation provide context to common scenarios in the transportation sector. This book will serve the reader as the starting point for practical questions regarding the deployment and safety assurance of new and emergent technologies in the transportation domains. Artificial Intelligence and Human Performance in Transportation is a beneficial read for professionals in the fields of Human Factors, Engineering (Aviation, Maritime and Land), Logistics, Manufacturing, Accident Investigation and Safety, Cybersecurity and Human Resources. |
| data science degree asu: The Chicago Handbook of University Technology Transfer and Academic Entrepreneurship Albert N. Link, Donald S. Siegel, Mike Wright, 2015-03-09 Universities are now in the business of managing intellectual property portfolios and commercializing discoveries from their laboratories. Much of the money universities make from this is in the form of licensing revenue and IPO-related wealth. However, managing intellectual-property portfolios is still a very new business for universities, and administrators and policymakers are still uncertain about how best to navigate the many practical and fundamental issues that arise. Written for both practitioners and academics, The Chicago Handbook of University Technology Transfer and Academic Entrepreneurship provides a clear outline of the broad set of new practices and institutions that have sprung up to manage and sell intellectual property, from university technology-transfer offices and cooperative-engineering research centers to vast research parks. To determine what makes technology transfer work, the question is approached from a variety of perspectives: historically, internationally, and from the perspectives of professors, entrepreneurs, administrators, and regulators. Some chapters offer guidelines and examples of how to foster and maintain successful research ventures from various perspectives. Others explore how developments in university technology transfer affect the public interest and inform the notion of open innovation and science. |
| data science degree asu: Guide to Colleges 2022 Edward Fiske, 2021-05-11 Every college and university has a story, and no one tells those stories like former New York Times education editor Edward B. Fiske. That's why, for more than 35 years, the Fiske Guide to Colleges has been the leading guide to 320+ four-year schools, including quotes from real students and information you won't find on college websites. Fully updated and expanded every year, Fiske is the most authoritative source of information for college-bound students and their parents. Helpful, honest, and straightforward, the Fiske Guide to Colleges delivers an insider's look at what it's really like to be a student at the best and most interesting schools in the United States, plus Canada, Great Britain, and Ireland―so you can find the best fits for you.In addition to detailed and candid stories on each school, you will find: A self-quiz to help you understand what you are really looking for in a college Lists of strong programs and popular majors at each college Overlap listings to help you expand your options Indexes that break down schools by state, price, and average debt Exclusive academic, social, and quality-of-life ratings All the basics, including financial aid stats, SAT/ACT scores, and acceptance ratesPlus a special section highlighting the 20 public and private Best Buy schools―colleges that provide the best educational value |
| data science degree asu: Native American Voices Susan Lobo, Steve Talbot, Traci Morris Carlston, 2016-02-19 This unique reader presents a broad approach to the study of American Indians through the voices and viewpoints of the Native Peoples themselves. Multi-disciplinary and hemispheric in approach, it draws on ethnography, biography, journalism, art, and poetry to familiarize students with the historical and present day experiences of native peoples and nations throughout North and South America–all with a focus on themes and issues that are crucial within Indian Country today. For courses in Introduction to American Indians in departments of Native American Studies/American Indian Studies, Anthropology, American Studies, Sociology, History, Women's Studies. |
| data science degree asu: 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. |
| data science degree asu: Advanced Applications and Structures in XML Processing: Label Streams, Semantics Utilization and Data Query Technologies Li, Changqing, Ling, Tok Wang, 2010-02-28 This book is for professionals and researchers working in the field of XML in various disciplines who want to improve their understanding of the XML data management technologies, such as XML models, XML query and update processing, XML query languages and their implementations, keywords search in XML documents, database, web service, publish/subscribe, medical information science, and e-business--Provided by publisher. |
| data science degree asu: Higher Learning, Greater Good Walter W. McMahon, 2009-03-18 The chronic underinvestment in higher education has serious ramifications for both individuals and society. Winner, Best Book in Education, 2009 PROSE Awards, Professional and Scholarly Publishing Division, Association of American Publishers Winner, Best Book in Education, PROSE Awards, Professional and Scholarly Publishing Division, Association of American Publishers A college education has long been acknowledged as essential for both personal success and economic growth. But the measurable value of its nonmonetary benefits has until now been poorly understood. In Higher Learning, Greater Good, leading education economist Walter W. McMahon carefully describes these benefits and suggests that higher education accrues significant social and private benefits. McMahon's research uncovers a major skill deficit and college premium in the United States and other OECD countries due to technical change and globalization, which, according to a new preface to the 2017 edition, continues unabated. A college degree brings better job opportunities, higher earnings, and even improved health and longevity. Higher education also promotes democracy and sustainable growth and contributes to reduced crime and lower state welfare and prison costs. These social benefits are substantial in relation to the costs of a college education. Offering a human capital perspective on these and other higher education policy issues, McMahon suggests that poor understanding of the value of nonmarket benefits leads to private underinvestment. He offers policy options that can enable state and federal governments to increase investment in higher education. |
| data science degree asu: The Ministry for the Future Kim Stanley Robinson, 2020-10-06 ONE OF BARACK OBAMA’S FAVORITE BOOKS OF THE YEAR “The best science-fiction nonfiction novel I’ve ever read.” —Jonathan Lethem If I could get policymakers, and citizens, everywhere to read just one book this year, it would be Kim Stanley Robinson’s The Ministry for the Future. —Ezra Klein (Vox) The Ministry for the Future is a masterpiece of the imagination, using fictional eyewitness accounts to tell the story of how climate change will affect us all. Its setting is not a desolate, postapocalyptic world, but a future that is almost upon us. Chosen by Barack Obama as one of his favorite books of the year, this extraordinary novel from visionary science fiction writer Kim Stanley Robinson will change the way you think about the climate crisis. One hopes that this book is read widely—that Robinson’s audience, already large, grows by an order of magnitude. Because the point of his books is to fire the imagination.―New York Review of Books If there’s any book that hit me hard this year, it was Kim Stanley Robinson’s The Ministry for the Future, a sweeping epic about climate change and humanity’s efforts to try and turn the tide before it’s too late. ―Polygon (Best of the Year) Masterly. —New Yorker [The Ministry for the Future] struck like a mallet hitting a gong, reverberating through the year ... it’s terrifying, unrelenting, but ultimately hopeful. Robinson is the SF writer of my lifetime, and this stands as some of his best work. It’s my book of the year. —Locus Science-fiction visionary Kim Stanley Robinson makes the case for quantitative easing our way out of planetary doom. ―Bloomberg Green |
| data science degree asu: Fiske Guide to Colleges 2011 Edward B. Fiske, Robert Logue, 2010-07 The best college guide you can buy. -USA Today For more than 25 years, this leading guide to more than 310 colleges and universities-fully updated and expanded every year-has been an indispensable source of information for college-bound students and their parents. Helpful, honest, and straightforward, the Fiske Guide to Colleges delivers an insider's look at the academic climates and the social and extracurricular scenes at the best and most interesting schools in the United States, plus Canada and Great Britain. In addition to the candid essays on each school, you will find: A self-quiz to help you understand what you are really looking for in a college Lists of the strongest majors and programs at each college Vital information on how to apply, including admissions and financialaid deadlines, required tests, and each school's essay questions Overlap listings to help you expand your options Selectivity statistics and SAT/ACT scores Indexes that break down schools by price and state A list of schools with strong programs for learning disabled students All the basics, including email addresses and university websites Plus a special section highlighting the 5 public and private Best Buy schools-colleges that provide the best educational value The guide the San Francisco Chronicle called the bible. |
| data science degree asu: Provenance Data in Social Media Geoffrey Barbier, Zhuo Feng, Pritam Gundecha, 2013-05-01 Social media shatters the barrier to communicate anytime anywhere for people of all walks of life. The publicly available, virtually free information in social media poses a new challenge to consumers who have to discern whether a piece of information published in social media is reliable. For example, it can be difficult to understand the motivations behind a statement passed from one user to another, without knowing the person who originated the message. Additionally, false information can be propagated through social media, resulting in embarrassment or irreversible damages. Provenance data associated with a social media statement can help dispel rumors, clarify opinions, and confirm facts. However, provenance data about social media statements is not readily available to users today. Currently, providing this data to users requires changing the social media infrastructure or offering subscription services. Taking advantage of social media features, research in this nascent field spearheads the search for a way to provide provenance data to social media users, thus leveraging social media itself by mining it for the provenance data. Searching for provenance data reveals an interesting problem space requiring the development and application of new metrics in order to provide meaningful provenance data to social media users. This lecture reviews the current research on information provenance, explores exciting research opportunities to address pressing needs, and shows how data mining can enable a social media user to make informed judgements about statements published in social media. Table of Contents: Information Provenance in Social Media / Provenance Attributes / Provenance via Network Information / Provenance Data |
| data science degree asu: Critical Digital Studies Arthur Kroker, Marilouise Kroker, 2013-01-01 An indispensable resource for instructors and students in digital studies programs, Critical Digital Studies is a comprehensive, creative, and fascinating look at a digital culture that is struggling to be born, survive, and flourish.--Publisher description. |
| data science degree asu: Modeling Information Diffusion in Online Social Networks with Partial Differential Equations Haiyan Wang, Feng Wang, Kuai Xu, 2020-03-16 The book lies at the interface of mathematics, social media analysis, and data science. Its authors aim to introduce a new dynamic modeling approach to the use of partial differential equations for describing information diffusion over online social networks. The eigenvalues and eigenvectors of the Laplacian matrix for the underlying social network are used to find communities (clusters) of online users. Once these clusters are embedded in a Euclidean space, the mathematical models, which are reaction-diffusion equations, are developed based on intuitive social distances between clusters within the Euclidean space. The models are validated with data from major social media such as Twitter. In addition, mathematical analysis of these models is applied, revealing insights into information flow on social media. Two applications with geocoded Twitter data are included in the book: one describing the social movement in Twitter during the Egyptian revolution in 2011 and another predicting influenza prevalence. The new approach advocates a paradigm shift for modeling information diffusion in online social networks and lays the theoretical groundwork for many spatio-temporal modeling problems in the big-data era. |
| data science degree asu: Patent Remedies and Complex Products C. Bradford Biddle, Jorge L. Contreras, Brian J. Love, Norman V. Siebrasse, 2019-06-27 Through a collaboration among twenty legal scholars from North America, Europe and Asia, this book presents an international consensus on the use of patent remedies for complex products such as smartphones, computer networks, and the Internet of Things. This title is also available as Open Access on Cambridge Core. |
| data science degree asu: R Cookbook JD Long, Paul Teetor, 2019-06-21 Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an intermediate user, this book will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform basic functions Simplify data input and output Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data |
| data science degree asu: Database Applications Semantics L. Mark, 2016-01-09 The number of new applications in need of database support is exploding and there is an increasing need to link and access database systems supporting these new applications via computer networks. End-users and non-computer experts are becoming heavily involved in the set-up, management and use of database systems and this book provides the important database design methodologies and implementation technology which should be available for them as well as for computer experts. |
| data science degree asu: Poiesis and Enchantment in Topological Matter Xin Wei Sha, 2013-12-06 A groundbreaking conception of interactive media, inspired by continuity, field, and process, with fresh implications for art, computer science, and philosophy of technology. In this challenging but exhilarating work, Sha Xin Wei argues for an approach to materiality inspired by continuous mathematics and process philosophy. Investigating the implications of such an approach to media and matter in the concrete setting of installation- or event-based art and technology, Sha maps a genealogy of topological media—that is, of an articulation of continuous matter that relinquishes a priori objects, subjects, and egos and yet constitutes value and novelty. Doing so, he explores the ethico-aesthetic consequences of topologically creating performative events and computational media. Sha's interdisciplinary investigation is informed by thinkers ranging from Heraclitus to Alfred North Whitehead to Gilbert Simondon to Alain Badiou to Donna Haraway to Gilles Deleuze and Félix Guattari. Sha traces the critical turn from representation to performance, citing a series of installation-events envisioned and built over the past decade. His analysis offers a fresh way to conceive and articulate interactive materials of new media, one inspired by continuity, field, and philosophy of process. Sha explores the implications of this for philosophy and social studies of technology and science relevant to the creation of research and art. Weaving together philosophy, aesthetics, critical theory, mathematics, and media studies, he shows how thinking about the world in terms of continuity and process can be informed by computational technologies, and what such thinking implies for emerging art and technology. |
| data science degree asu: Probability for Risk Management Matthew J. Hassett, Donald Stewart, 2006 |
| data science degree asu: The Art of Data Science Roger D. Peng, Elizabeth Matsui, 2016-06-08 This book describes the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and this book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science.--Leanpub.com. |
| data science degree asu: The Neuroscience of Mindfulness Meditation Yi-Yuan Tang, 2017-08-09 This book presents the latest neuroscience research on mindfulness meditation and provides guidance on how to apply these findings to our work, relationships, health, education and daily lives. Presenting cutting-edge research on the neurological and cognitive changes associated with its practice Tang aims to explain how it reaps positive effects and subsequently, how best to undertake and implement mindfulness practice. Mindfulness neuroscience research integrates theory and methods from eastern contemplative traditions, western psychology and neuroscience, and is based on neuroimaging techniques, physiological measures and behavioural tests. The Neuroscience of Mindfulness Meditation begins by explaining these foundations and then moves on to themes such as the impact of personality and how mindfulness can shape behaviour change, attention and self-control. Finally, the book discusses common misconceptions about mindfulness and challenges in future research endeavours. Written by an expert in the neuroscience of mindfulness this book will be valuable for scholars, researchers and practitioners in psychotherapy and the health sciences working with mindfulness, as well as those studying and working in the fields of neuroscience and neuropsychology. |
| data science degree asu: Agile by Design Rachel Alt-Simmons, 2015-10-12 Achieve greater success by increasing the agility of analytics lifecycle management Agile by Design offers the insight you need to improve analytic lifecycle management while integrating the right analytics projects into different frameworks within your business. You will explore, in-depth, what analytics projects are and why they are set apart from traditional development initiatives. Beyond merely defining analytics projects, Agile by Design equips you with the information you need to apply agile methodologies in a way that tailors your approach to individual initiatives—and the needs of your projects and team. Lifecycle management is a complex subject area, and with the increasingly important integration of analytics into multiple facets of business models, understanding how to use agile tools while managing a product lifecycle is essential to maintaining a competitive edge in today's professional world. Gain an understanding of the principles, processes, and practices associated with effective analytic lifecycle management Discover techniques that will enable you to successfully initiate, plan, and execute analytic development projects with an eye for the opportunity to engage agile methodologies Understand agile development frameworks Identify which agile methodologies are best for different frameworks—and how to apply them throughout the analytic development lifecycle With analytics becoming increasingly important in today's business world, you need to understand and apply agile methodologies in order to meet rising standards of efficiency and effectiveness. Agile by Design is the perfect reference for project managers, CFOs, IT managers, and marketing managers who want to cultivate a relevant, forward-thinking lifecycle management style. |
| data science degree asu: Foundations of Algorithms Richard E. Neapolitan, Kumarss Naimipour, 2011 Data Structures & Theory of Computation |
| data science degree asu: Power to the Public Tara Dawson McGuinness, Hana Schank, 2023-04-18 “Worth a read for anyone who cares about making change happen.”—Barack Obama A powerful new blueprint for how governments and nonprofits can harness the power of digital technology to help solve the most serious problems of the twenty-first century As the speed and complexity of the world increases, governments and nonprofit organizations need new ways to effectively tackle the critical challenges of our time—from pandemics and global warming to social media warfare. In Power to the Public, Tara Dawson McGuinness and Hana Schank describe a revolutionary new approach—public interest technology—that has the potential to transform the way governments and nonprofits around the world solve problems. Through inspiring stories about successful projects ranging from a texting service for teenagers in crisis to a streamlined foster care system, the authors show how public interest technology can make the delivery of services to the public more effective and efficient. At its heart, public interest technology means putting users at the center of the policymaking process, using data and metrics in a smart way, and running small experiments and pilot programs before scaling up. And while this approach may well involve the innovative use of digital technology, technology alone is no panacea—and some of the best solutions may even be decidedly low-tech. Clear-eyed yet profoundly optimistic, Power to the Public presents a powerful blueprint for how government and nonprofits can help solve society’s most serious problems. |
| data science degree asu: The Dynamics of Science Grant Ramsey, Andreas De Block, 2022-11-22 Millions of scientific articles are published each year, making it difficult to stay abreast of advances within even the smallest subdisciplines. Traditional approaches to the study of science, such as the history and philosophy of science, involve closely reading a relatively small set of journal articles. And yet many questions benefit from casting a wider net: Is most scientific change gradual or revolutionary? What are the key sources of scientific novelty? Over the past several decades, a massive effort to digitize the academic literature and equip computers with algorithms that can distantly read and analyze a digital database has taken us one step closer to answering these questions. The Dynamics of Science brings together a diverse array of contributors to examine the largely unexplored computational frontiers of history and philosophy of science. Together, they reveal how tools and data from automated textual analysis, or machine “reading,” combined with methods and models from game theory and cultural evolutionary theory, can begin to answer fundamental questions about the nature and history of science. |
| data science degree asu: Dual Transformation Scott D. Anthony, Clark G. Gilbert, Mark W. Johnson, 2017-03-28 Game-changing disruptions will likely unfold on your watch. Be ready. In Dual Transformation, Scott Anthony, Clark Gilbert, and Mark Johnson propose a practical and sustainable approach to one of the greatest challenges facing leaders today: transforming your business in the face of imminent disruption. Dual Transformation shows you how your company can come out of a market shift stronger and more profitable, because the threat of disruption is also the greatest opportunity a leadership team will ever face. Disruptive change opens a window of opportunity to create massive new markets. It is the moment when a market also-ran can become a market leader. It is the moment when business legacies are created. That moment starts with the core dual transformation framework: Transformation A: Repositioning today’s business to maximize its resilience, such as how Adobe boldly shifted from selling packaged software to providing software as a service. Transformation B: Creating a new growth engine, such as how Amazon became the world’s largest provider of cloud computing services. Capabilities link: Fighting unfairly by taking advantage of difficult-to-replicate assets without succumbing to the “sucking sound of the core.” Anthony, Gilbert, and Johnson also address the characteristics leaders must embrace: courage, clarity, curiosity, and conviction. Without them, dual transformation efforts can founder. Building on lessons from diverse companies, such as Adobe, Manila Water, and Netflix, and a case study from Gilbert’s firsthand experience transforming his own media and publishing company, Dual Transformation will guide executives through the journey of creating the next version of themselves, allowing them to own the future rather than be disrupted by it. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with minimum time …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, released in …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process from …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical barriers …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be collected, …
