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| cu boulder ms in data science: Biology Everywhere Melanie Peffer, 2020-02-28 Biology as explained through the lens of how we experience it as part of our daily lives. Written for a trade audience. |
| cu boulder ms in data science: Careers in Information Science Louise Schultz, 1963 Presents copy for use as a reference brochure and a giveaway sheet to be distributed to guidance counselors to help them direct young people into the growing field of Information Science. Sets forth that Information Science is concerned with the properties, behavior, and flow of information. Describes how it is used, both by individuals and in large systems. Discusses the opportunities in Information Science and outlines three relatively different career areas: (1) Special Librarianship; (2) Literature Analysis; and (3) Information System Design. Details an educational program appropriate for participation in these career areas. Concludes that Information Science is a new but rapidly growing field pushing the frontiers of human knowledge and, thus, contributing to human well-being and progress. (Author). |
| cu boulder ms in data science: Promoting Statistical Practice and Collaboration in Developing Countries O. Olawale Awe, Kim Love, Eric A. Vance, 2022-06-07 Rarely, but just often enough to rebuild hope, something happens to confound my pessimism about the recent unprecedented happenings in the world. This book is the most recent instance, and I think that all its readers will join me in rejoicing at the good it seeks to do. It is an example of the kind of international comity and collaboration that we could and should undertake to solve various societal problems. This book is a beautiful example of the power of the possible. [It] provides a blueprint for how the LISA 2020 model can be replicated in other fields. Civil engineers, or accountants, or nurses, or any other profession could follow this outline to share expertise and build capacity and promote progress in other countries. It also contains some tutorials for statistical literacy across several fields. The details would change, of course, but ideas are durable, and the generalizations seem pretty straightforward. This book shows every other profession where and how to stand in order to move the world. I urge every researcher to get a copy! —David Banks from the Foreword Promoting Statistical Practice and Collaboration in Developing Countries provides new insights into the current issues and opportunities in international statistics education, statistical consulting, and collaboration, particularly in developing countries around the world. The book addresses the topics discussed in individual chapters from the perspectives of the historical context, the present state, and future directions of statistical training and practice, so that readers may fully understand the challenges and opportunities in the field of statistics and data science, especially in developing countries. Features • Reference point on statistical practice in developing countries for researchers, scholars, students, and practitioners • Comprehensive source of state-of-the-art knowledge on creating statistical collaboration laboratories within the field of data science and statistics • Collection of innovative statistical teaching and learning techniques in developing countries Each chapter consists of independent case study contributions on a particular theme that are developed with a common structure and format. The common goal across the chapters is to enhance the exchange of diverse educational and action-oriented information among our intended audiences, which include practitioners, researchers, students, and statistics educators in developing countries. |
| cu boulder ms in data science: Sustainable Statistical and Data Science Methods and Practices O. Olawale Awe, Eric A. Vance, 2024-01-05 This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2–6, 2022. They focus on sustainable methods and practices of using statistics and data science to address real-world problems. From utilizing social media for statistical collaboration to predicting obesity among rural women, and from analyzing inflation in Nigeria using machine learning to teaching data science in Africa, this book explores the intersection of data, statistics, and sustainability. With practical applications, code snippets, and case studies, this book offers valuable insights for researchers, policymakers, and data enthusiasts alike. The LISA 2020 Global Network aims to enhance statistical and data science capability in developing countries through the creation of a network of collaboration laboratories (also known as “stat labs”). These stat labs are intended to serve as engines for development by training the next generation of collaborative statisticians and data scientists, providing research infrastructure for researchers, data producers, and decision-makers, and enabling evidence-based decision-making that has a positive impact on society. The research conducted at LISA 2020 focuses on practical methods and applications for sustainable growth of statistical capacity in developing nations. |
| cu boulder ms in data science: Fundamentals of Data Visualization Claus O. Wilke, 2019-03-18 Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book’s visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story |
| cu boulder ms in data science: Foundations of Machine Learning Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar, 2012-08-17 Fundamental topics in machine learning are presented along with theoretical and conceptual tools for the discussion and proof of algorithms. This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms, provides the theoretical underpinnings of these algorithms, and illustrates key aspects for their application. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning fills the need for a general textbook that also offers theoretical details and an emphasis on proofs. Certain topics that are often treated with insufficient attention are discussed in more detail here; for example, entire chapters are devoted to regression, multi-class classification, and ranking. The first three chapters lay the theoretical foundation for what follows, but each remaining chapter is mostly self-contained. The appendix offers a concise probability review, a short introduction to convex optimization, tools for concentration bounds, and several basic properties of matrices and norms used in the book. The book is intended for graduate students and researchers in machine learning, statistics, and related areas; it can be used either as a textbook or as a reference text for a research seminar. |
| cu boulder ms in data science: The Art Of Innovation Tom Kelley, 2016-06-16 There isn't a business that doesn't want to be more creative in its thinking, products and processes. In The Art of Innovation, Tom Kelley, partner at the Silicon Valley-based firm IDEO, developer of hundreds of innovative products from the first commercial mouse to virtual reality headsets and the Palm hand-held, takes readers behind the scenes of this wildly imaginative company to reveal the strategies and secrets it uses to turn out hit after hit. Kelley shows how teams: -Research and immerse themselves in every possible aspect of a new product or service -Examine each product from the perspective of clients, consumers and other critical audiences -Brainstorm best when they are focussed, being physical and having fun The Art of Innovation will provide business leaders with the insights and tools they need to make their companies the leading-edge top-rated stars of their industries. |
| cu boulder ms in data science: Understanding Machine Learning Shai Shalev-Shwartz, Shai Ben-David, 2014-05-19 Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage. |
| cu boulder ms in data science: Strategic Investments in Instrumentation and Facilities for Extraterrestrial Sample Curation and Analysis National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Space Studies Board, Committee on Extraterrestrial Sample Analysis Facilities, 2019-04-29 The United States possesses a treasure-trove of extraterrestrial samples that were returned to Earth via space missions over the past four decades. Analyses of these previously returned samples have led to major breakthroughs in the understanding of the age, composition, and origin of the solar system. Having the instrumentation, facilities and qualified personnel to undertake analyses of returned samples, especially from missions that take up to a decade or longer from launch to return, is thus of paramount importance if the National Aeronautics and Space Administration (NASA) is to capitalize fully on the investment made in these missions, and to achieve the full scientific impact afforded by these extraordinary samples. Planetary science may be entering a new golden era of extraterrestrial sample return; now is the time to assess how prepared the scientific community is to take advantage of these opportunities. Strategic Investments in Instrumentation and Facilities for Extraterrestrial Sample Curation and Analysis assesses the current capabilities within the planetary science community for sample return analyses and curation, and what capabilities are currently missing that will be needed for future sample return missions. This report evaluates whether current laboratory support infrastructure and NASA's investment strategy is adequate to meet these analytical challenges and advises how the community can keep abreast of evolving and new techniques in order to stay at the forefront of extraterrestrial sample analysis. |
| cu boulder ms in data science: 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. |
| cu boulder ms in data science: Foreign Powers and Intervention in Armed Conflicts Aysegul Aydin, 2012-07-11 Intervention in armed conflicts is full of riddles that await attention from scholars and policymakers. This book argues that rethinking intervention—redefining what it is and why foreign powers take an interest in others' conflicts—is of critical importance to understanding how conflicts evolve over time with the entry and exit of external actors. It does this by building a new model of intervention that crosses the traditional boundaries between economics, international relations theory, and security studies, and places the economic interests and domestic political institutions of external states at the center of intervention decisions. Combining quantitative and qualitative evidence from both historical and contemporary conflicts, including interventions in both interstate conflicts and civil wars, it presents an in-depth discussion of a range of interventions—diplomatic, economic, and military—in a variety of international contexts, creating a comprehensive model for future research on the topic. |
| cu boulder ms in data science: Talking about Leaving Revisited Elaine Seymour, Anne-Barrie Hunter, 2019-12-10 Talking about Leaving Revisited discusses findings from a five-year study that explores the extent, nature, and contributory causes of field-switching both from and among “STEM” majors, and what enables persistence to graduation. The book reflects on what has and has not changed since publication of Talking about Leaving: Why Undergraduates Leave the Sciences (Elaine Seymour & Nancy M. Hewitt, Westview Press, 1997). With the editors’ guidance, the authors of each chapter collaborate to address key questions, drawing on findings from each related study source: national and institutional data, interviews with faculty and students, structured observations and student assessments of teaching methods in STEM gateway courses. Pitched to a wide audience, engaging in style, and richly illustrated in the interviewees’ own words, this book affords the most comprehensive explanatory account to date of persistence, relocation and loss in undergraduate sciences. Comprehensively addresses the causes of loss from undergraduate STEM majors—an issue of ongoing national concern. Presents critical research relevant for nationwide STEM education reform efforts. Explores the reasons why talented undergraduates abandon STEM majors. Dispels popular causal myths about why students choose to leave STEM majors. This volume is based upon work supported by the Alfred P. Sloan Foundation Award No. 2012-6-05 and the National Science Foundation Award No. DUE 1224637. |
| cu boulder ms in data science: Laboratory Astrophysics Guillermo M. Muñoz Caro, Rafael Escribano, 2018-10-11 This book focuses on the most recent, relevant, comprehensive and significant aspects in the well-established multidisciplinary field Laboratory Astrophysics. It focuses on astrophysical environments, which include asteroids, comets, the interstellar medium, and circumstellar and circumplanetary regions. Its scope lies between physics and chemistry, since it explores physical properties of the gas, ice, and dust present in those systems, as well as chemical reactions occurring in the gas phase, the bare dust surface, or in the ice bulk and its surface. Each chapter provides the necessary mathematical background to understand the subject, followed by a case study of the corresponding system. The book provides adequate material to help interpret the observations, or the computer models of astrophysical environments. It introduces and describes the use of spectroscopic tools for laboratory astrophysics. This book is mainly addressed to PhD graduates working in this field or observers and modelers searching for information on ice and dust processes. |
| cu boulder ms in data science: Hear My Voice/Escucha mi voz , 2021-04-13 The moving stories of children in migration—in their own words. In Spanish and in English, a devastating first-person account of children’s experiences in detention at the southern U.S. border.... A powerful, critical document only made more heartbreaking in picture-book form. —Kirkus Reviews starred review Every day, children in migration are detained at the US-Mexico border. They are scared, alone, and their lives are in limbo. Hear My Voice/Escucha mi voz shares the stories of 61 these children, from Honduras, Guatemala, El Salvador, Ecuador, and Mexico, ranging in age from five to seventeen—in their own words from actual sworn testimonies. Befitting the spirit of the project, the book is in English on one side; then flip it over, and there's a complete Spanish version. Illustrated by 17 Latinx artists, including Caldecott Medalist and multiple Pura Belpré Illustrator Award-winning Yuyi Morales and Pura Belpré Illustrator Award-winning Raὺl the Third. Includes information, questions, and action points. Buying this book benefits Project Amplify, an organization that supports children in migration. |
| cu boulder ms in data science: Critical Sports Studies Nicholas Villanueva, Jr., 2019-12-05 Critical Sports Studies: A Document Reader provides students with a selection of essays that examine social problems in sport. Readers are challenged to critically consider various topics to better understand how the global phenomenon of sport can lead to challenges both on and off the field. The opening chapter introduces the study of sport in society as an academic discipline. Later chapters cover amateurism in sport, sports and politics, and the role of media in |
| cu boulder ms in data science: Analytical Mechanics of Space Systems Hanspeter Schaub, John L. Junkins, 2003 |
| cu boulder ms in data science: Biostatistical Methods Stephen W. Looney, 2002 Annotation This book will serve every biological scientist with a representative sample of the applications of biostatistics to commonly occurring problems in molecular biology. The authors provide sufficient background information and detail to enable readers to carry out similar analyses themselves, and offer a starting point for both statisticians who want to begin work on problems in molecular biology and for molecular biologists who want to increase their working knowledge of biostatistics as it relates to their field. |
| cu boulder ms in data science: Interests and Opportunities Steve Lamos, 2011-09-30 In the late 1960s, colleges and universities became deeply embroiled in issues of racial equality. To combat this, hundreds of new programs were introduced to address the needs of high-risk minority and low-income students. In the years since, university policies have flip-flopped between calls to address minority needs and arguments to maintain Standard English. Today, anti-affirmative action and anti-access sentiments have put many of these high-risk programs at risk. In Interests and Opportunities, Steve Lamos chronicles debates over high-risk writing programs on the national level and, locally, at the University of Illinois at Urbana-Champaign. Using critical race theorist Derrick Bell's concept of interest convergence, Lamos shows that these programs were promoted or derailed according to how and when they fit the interests of underrepresented minorities and mainstream whites (administrators and academics). He relates struggles over curriculum, pedagogy, and budget, and views their impact on policy changes and course offerings. Lamos finds that during periods of convergence, disciplinary and institutional changes do occur, albeit to suit mainstream standards. In divergent times, changes are thwarted or undone, often using the same standards. To Lamos, understanding the past dynamics of convergence and divergence is key to formulating new strategies of local action and story-changing that can preserve and expand race-consciousness and high-risk writing instruction, even in adverse political climates. |
| cu boulder ms in data science: The Merit Myth Anthony P. Carnevale, Peter Schmidt, Jeff Strohl, 2020-05-19 An eye-opening and timely look at how colleges drive the very inequalities they are meant to remedy, complete with a call—and a vision—for change Colleges fiercely defend America's deeply stratified higher education system, arguing that the most exclusive schools reward the brightest kids who have worked hard to get there. But it doesn't actually work this way. As the recent college-admissions bribery scandal demonstrates, social inequalities and colleges' pursuit of wealth and prestige stack the deck in favor of the children of privilege. For education scholar and critic Anthony P. Carnevale, it's clear that colleges are not the places of aspiration and equal opportunity they claim to be. The Merit Myth calls out our elite colleges for what they are: institutions that pay lip service to social mobility and meritocracy, while offering little of either. Through policies that exacerbate inequality, including generously funding so-called merit-based aid for already-wealthy students rather than expanding opportunity for those who need it most, U.S. universities—the presumed pathway to a better financial future—are woefully complicit in reproducing the racial and class privilege across generations that they pretend to abhor. This timely and incisive book argues for unrigging the game by dramatically reducing the weight of the SAT/ACT; measuring colleges by their outcomes, not their inputs; designing affirmative action plans that take into consideration both race and class; and making 14 the new 12—guaranteeing every American a public K–14 education. The Merit Myth shows the way for higher education to become the beacon of opportunity it was intended to be. |
| cu boulder ms in data science: Dialogue Across Difference Patricia Gurin, Biren (Ratnesh) A. Nagda, Ximena Zuniga, 2013-03-15 Due to continuing immigration and increasing racial and ethnic inclusiveness, higher education institutions in the United States are likely to grow ever more diverse in the 21st century. This shift holds both promise and peril: Increased inter-ethnic contact could lead to a more fruitful learning environment that encourages collaboration. On the other hand, social identity and on-campus diversity remain hotly contested issues that often raise intergroup tensions and inhibit discussion. How can we help diverse students learn from each other and gain the competencies they will need in an increasingly multicultural America? Dialogue Across Difference synthesizes three years’ worth of research from an innovative field experiment focused on improving intergroup understanding, relationships and collaboration. The result is a fascinating study of the potential of intergroup dialogue to improve relations across race and gender. First developed in the late 1980s, intergroup dialogues bring together an equal number of students from two different groups – such as people of color and white people, or women and men – to share their perspectives and learn from each other. To test the possible impact of such courses and to develop a standard of best practice, the authors of Dialogue Across Difference incorporated various theories of social psychology, higher education, communication studies and social work to design and implement a uniform curriculum in nine universities across the country. Unlike most studies on intergroup dialogue, this project employed random assignment to enroll more than 1,450 students in experimental and control groups, including in 26 dialogue courses and control groups on race and gender each. Students admitted to the dialogue courses learned about racial and gender inequalities through readings, role-play activities and personal reflections. The authors tracked students’ progress using a mixed-method approach, including longitudinal surveys, content analyses of student papers, interviews of students, and videotapes of sessions. The results are heartening: Over the course of a term, students who participated in intergroup dialogues developed more insight into how members of other groups perceive the world. They also became more thoughtful about the structural underpinnings of inequality, increased their motivation to bridge differences and intergroup empathy, and placed a greater value on diversity and collaborative action. The authors also note that the effects of such courses were evident on nearly all measures. While students did report an initial increase in negative emotions – a possible indication of the difficulty of openly addressing race and gender – that effect was no longer present a year after the course. Overall, the results are remarkably consistent and point to an optimistic conclusion: intergroup dialogue is more than mere talk. It fosters productive communication about and across differences in the service of greater collaboration for equity and justice. Ambitious and timely, Dialogue Across Difference presents a persuasive practical, theoretical and empirical account of the benefits of intergroup dialogue. The data and research presented in this volume offer a useful model for improving relations among different groups not just in the college setting but in the United States as well. |
| cu boulder ms in data science: Urban Analytics Alex D. Singleton, Seth Spielman, David Folch, 2017-11-27 The economic and political situation of cities has shifted in recent years in light of rapid growth amidst infrastructure decline, the suburbanization of poverty and inner city revitalization. At the same time, the way that data are used to understand urban systems has changed dramatically. Urban Analytics offers a field-defining look at the challenges and opportunities of using new and emerging data to study contemporary and future cities through methods including GIS, Remote Sensing, Big Data and Geodemographics. Written in an accessible style and packed with illustrations and interviews from key urban analysts, this is a groundbreaking new textbook for students of urban planning, urban design, geography, and the information sciences. |
| cu boulder ms in data science: Guide to the Scientific Study of International Processes Sara McLaughlin Mitchell, Paul F. Diehl, James D. Morrow, 2012-07-17 Dedicated to the empirical analysis of data from the world of international relations, SSIP scholars tend to focus on interstate conflicts, civil wars, and conflict management. The range of perspectives in this edited volume provide a comprehensive introduction to SSIP theory and methodology. Fresh approach traces intellectual development of research approaches rather than merely summarizing results Features original SSIP material not found in other books Includes a number of essays with a broader assessment of SSIP methods - ideal for younger scholars interested in the approach Includes recent SSIP analyses exploring issues such as civil wars |
| cu boulder ms in data science: The Knowledge Illusion Steven Sloman, Philip Fernbach, 2017-03-14 “The Knowledge Illusion is filled with insights on how we should deal with our individual ignorance and collective wisdom.” —Steven Pinker We all think we know more than we actually do. Humans have built hugely complex societies and technologies, but most of us don’t even know how a pen or a toilet works. How have we achieved so much despite understanding so little? Cognitive scientists Steven Sloman and Philip Fernbach argue that we survive and thrive despite our mental shortcomings because we live in a rich community of knowledge. The key to our intelligence lies in the people and things around us. We’re constantly drawing on information and expertise stored outside our heads: in our bodies, our environment, our possessions, and the community with which we interact—and usually we don’t even realize we’re doing it. The human mind is both brilliant and pathetic. We have mastered fire, created democratic institutions, stood on the moon, and sequenced our genome. And yet each of us is error prone, sometimes irrational, and often ignorant. The fundamentally communal nature of intelligence and knowledge explains why we often assume we know more than we really do, why political opinions and false beliefs are so hard to change, and why individual-oriented approaches to education and management frequently fail. But our collaborative minds also enable us to do amazing things. The Knowledge Illusion contends that true genius can be found in the ways we create intelligence using the community around us. |
| cu boulder ms in data science: Open Source Software Policy Options for NASA Earth and Space Sciences National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Space Studies Board, Committee on Best Practices for a Future Open Code Policy for NASA Space Science, 2019-01-27 Modern science is ever more driven by computations and simulations. In particular, the state of the art in space and Earth science often arises from complex simulations of climate, space weather, and astronomical phenomena. At the same time, scientific work requires data processing, presentation, and analysis through broadly available proprietary and community software.1 Implicitly or explicitly, software is central to science. Scientific discovery, understanding, validation, and interpretation are all enhanced by access to the source code of the software used by scientists. This report investigates and recommends options for NASA's Science Mission Directorate (SMD) as it considers how to establish a policy regarding open source software to complement its existing policy on open data. In particular, the report reviews existing data and software policies and the lessons learned from the implementation of those policies, summarizes community perspectives, and presents policy options and recommendations for implementing an open source software policy for NASA SMD. |
| cu boulder ms in data science: NSIDC Notes , 2008 |
| cu boulder ms in data science: Disease Ecology Sharon K. Collinge, Chris Ray, 2006-01-26 Summary: The chapters in this book llustrate aspects of communityy ecology that influence pathogen transmission rates and disease dynamics in a wide variety of study systems. |
| cu boulder ms in data science: Position, Navigation, and Timing Technologies in the 21st Century Y. Jade Morton, Frank van Diggelen, James J. Spilker, Jr., Bradford W. Parkinson, Sherman Lo, Grace Gao, 2021-01-13 Covers the latest developments in PNT technologies, including integrated satellite navigation, sensor systems, and civil applications Featuring sixty-four chapters that are divided into six parts, this two-volume work provides comprehensive coverage of the state-of-the-art in satellite-based position, navigation, and timing (PNT) technologies and civilian applications. It also examines alternative navigation technologies based on other signals-of-opportunity and sensors and offers a comprehensive treatment on integrated PNT systems for consumer and commercial applications. Volume 1 of Position, Navigation, and Timing Technologies in the 21st Century: Integrated Satellite Navigation, Sensor Systems, and Civil Applications contains three parts and focuses on the satellite navigation systems, technologies, and engineering and scientific applications. It starts with a historical perspective of GPS development and other related PNT development. Current global and regional navigation satellite systems (GNSS and RNSS), their inter-operability, signal quality monitoring, satellite orbit and time synchronization, and ground- and satellite-based augmentation systems are examined. Recent progresses in satellite navigation receiver technologies and challenges for operations in multipath-rich urban environment, in handling spoofing and interference, and in ensuring PNT integrity are addressed. A section on satellite navigation for engineering and scientific applications finishes off the volume. Volume 2 of Position, Navigation, and Timing Technologies in the 21st Century: Integrated Satellite Navigation, Sensor Systems, and Civil Applications consists of three parts and addresses PNT using alternative signals and sensors and integrated PNT technologies for consumer and commercial applications. It looks at PNT using various radio signals-of-opportunity, atomic clock, optical, laser, magnetic field, celestial, MEMS and inertial sensors, as well as the concept of navigation from Low-Earth Orbiting (LEO) satellites. GNSS-INS integration, neuroscience of navigation, and animal navigation are also covered. The volume finishes off with a collection of work on contemporary PNT applications such as survey and mobile mapping, precision agriculture, wearable systems, automated driving, train control, commercial unmanned aircraft systems, aviation, and navigation in the unique Arctic environment. In addition, this text: Serves as a complete reference and handbook for professionals and students interested in the broad range of PNT subjects Includes chapters that focus on the latest developments in GNSS and other navigation sensors, techniques, and applications Illustrates interconnecting relationships between various types of technologies in order to assure more protected, tough, and accurate PNT Position, Navigation, and Timing Technologies in the 21st Century: Integrated Satellite Navigation, Sensor Systems, and Civil Applications will appeal to all industry professionals, researchers, and academics involved with the science, engineering, and applications of position, navigation, and timing technologies. pnt21book.com |
| cu boulder ms in data science: Progress in Statistics J. Gani, 1975-02-01 |
| cu boulder ms in data science: Data Mining: Foundations and Practice Tsau Young Lin, Ying Xie, Anita Wasilewska, Churn-Jung Liau, 2008-08-17 The IEEE ICDM 2004 workshop on the Foundation of Data Mining and the IEEE ICDM 2005 workshop on the Foundation of Semantic Oriented Data and Web Mining focused on topics ranging from the foundations of data mining to new data mining paradigms. The workshops brought together both data mining researchers and practitioners to discuss these two topics while seeking solutions to long standing data mining problems and stimul- ing new data mining research directions. We feel that the papers presented at these workshops may encourage the study of data mining as a scienti?c ?eld and spark new communications and collaborations between researchers and practitioners. Toexpressthevisionsforgedintheworkshopstoawiderangeofdatam- ing researchers and practitioners and foster active participation in the study of foundations of data mining, we edited this volume by involving extended and updated versions of selected papers presented at those workshops as well as some other relevant contributions. The content of this book includes st- ies of foundations of data mining from theoretical, practical, algorithmical, and managerial perspectives. The following is a brief summary of the papers contained in this book. |
| cu boulder ms in data science: An R Companion to Political Analysis Philip H. Pollock III, Barry C. Edwards, 2017-04-12 Teach your students to conduct political research using R, the open source programming language and software environment for statistical computing and graphics. An R Companion to Political Analysis offers the same easy-to-use and effective style as the best-selling SPSS and Stata Companions. The all-new Second Edition includes new and revised exercises and datasets showing students how to analyze research-quality data to learn descriptive statistics, data transformations, bivariate analysis (cross-tabulations and mean comparisons), controlled comparisons, statistical inference, linear correlation and regression, dummy variables and interaction effects, and logistic regression. The clear explanation and instruction is accompanied by annotated and labeled screen shots and end-of-chapter exercises to help students apply what they have learned. Students will love this book, as will their teachers. – Courtney Brown, Emory University |
| cu boulder ms in data science: The Spirit of Inquiry , 1990 |
| cu boulder ms in data science: Computer Architecture for Scientists Andrew A. Chien, 2022-03-10 A principled, high-level view of computer performance and how to exploit it. Ideal for software architects and data scientists. |
| cu boulder ms in data science: The Right Stuff Tom Wolfe, 2008-03-04 Tom Wolfe at his very best (The New York Times Book Review), The Right Stuff is the basis for the 1983 Oscar Award-winning film of the same name and the 8-part Disney+ TV mini-series. From America's nerviest journalist (Newsweek)--a breath-taking epic, a magnificent adventure story, and an investigation into the true heroism and courage of the first Americans to conquer space. Millions of words have poured forth about man's trip to the moon, but until now few people have had a sense of the most engrossing side of the adventure; namely, what went on in the minds of the astronauts themselves - in space, on the moon, and even during certain odysseys on earth. It is this, the inner life of the astronauts, that Tom Wolfe describes with his almost uncanny empathetic powers, that made The Right Stuff a classic. |
| cu boulder ms in data science: The Book of Unconformities Hugh Raffles, 2020-08-25 From the author of the acclaimed Insectopedia, a powerful exploration of loss, endurance, and the absences that permeate the present When Hugh Raffles’s two sisters died suddenly within a few weeks of each other, he reached for rocks, stones, and other seemingly solid objects as anchors in a world unmoored, as ways to make sense of these events through stories far larger than his own. A moving, profound, and affirming meditation, The Book of Unconformities is grounded in stories of stones: Neolithic stone circles, Icelandic lava, mica from a Nazi concentration camp, petrified whale blubber in Svalbard, the marble prized by Manhattan’s Lenape, and a huge Greenlandic meteorite that arrived with six Inuit adventurers in the exuberant but fractious New York City of 1897. As Raffles follows these fundamental objects, unearthing the events they’ve engendered, he finds them losing their solidity and becoming as capricious, indifferent, and willful as time itself. |
| cu boulder ms in data science: Crisis Information Management Christine Hagar, 2011-11-09 This book explores the management of information in crises, particularly the interconnectedness of information, people, and technologies during crises. Natural disasters, such as the Haiti earthquake and Hurricane Katrina, and 9/11 and human-made crises, such as the recent political disruption in North Africa and the Middle East, have demonstrated that there is a great need to understand how individuals, government, and non-government agencies create, access, organize, communicate, and disseminate information within communities during crisis situations. This edited book brings together papers written by researchers and practitioners from a variety of information perspectives in crisis preparedness, response and recovery. - Edited by the author who coined the term crisis informatics - Provides new technological insights into crisis management information - Contributors are from information science, information management, applied information technology, informatics, computer science, telecommunications, and libraries |
| cu boulder ms in data science: VIVO Katy Börner, 2012 The world of scholarship is changing rapidly. Increasing demands on scholars, the growing size and complexity of questions and problems to be addressed, and advances in sophistication of data collection, analysis, and presentation require new approaches to scholarship. A ubiquitous, open information infrastructure for scholarship, consisting of linked open data, open-source software tools, and a community committed to sustainability are emerging to meet the needs of scholars today. This book provides an introduction to VIVO, http: //vivoweb.org/, a tool for representing information about research and researchers -- their scholarly works, research interests, and organizational relationships. VIVO provides an expressive ontology, tools for managing the ontology, and a platform for using the ontology to create and manage linked open data for scholarship and discovery. Begun as a project at Cornell and further developed by an NIH funded consortium, VIVO is now being established as an open-source project with community participation from around the world. By the end of 2012, over 20 countries and 50 organizations will provide information in VIVO format on more than one million researchers and research staff, including publications, research resources, events, funding, courses taught, and other scholarly activity. The rapid growth of VIVO and of VIVO-compatible data sources speaks to the fundamental need to transform scholarship for the 21st century. Table of Contents: Scholarly Networking Needs and Desires / The VIVO Ontology / Implementing VIVO and Filling It with Life / Case Study: University of Colorado at Boulder / Case Study: Weill Cornell Medical College / Extending VIVO / Analyzing and Visualizing VIVO Data / The Future of VIVO: Growing the Community |
| cu boulder ms in data science: Last Chance Larry Schweiger, 2016-11-16 This is an unabashed call to each and every American to moral duty for the future of life on earth, begins National Wildlife Federation president and CEO Larry J. Schweiger in this stirring exposé and call to action. Speaking to us not just as a conservation leader but also as an outdoor lover and a parent, Schweiger describes the causes and effects of global warming on our wildlife, ecosystems, and human life as we know it. With an engaging, down-to-earth tone (and a dash of wit; e.g., What Happens in Greenland Will Not Stay in Greenland), Schweiger breaks down the science behind our looming environmental catastrophe. Not letting go of hope, he also offers practical solutions and proposes a plan of action for everyday citizens. Last Chance will inspire each of us to take part in restoring the vital connection to our natural world before it's too late. |
| cu boulder ms in data science: Discoverability in Digital Repositories Liz Woolcott, Ali Shiri, 2023-04-04 While most discoverability evaluation studies in the Library and Information Science field discuss the intersection of discovery layers and library systems, this book looks specifically at digital repositories, examining discoverability from the lenses of system structure, user searches, and external discovery avenues. Discoverability, the ease with which information can be found by a user, is the cornerstone of all successful digital information platforms. Yet, most digital repository practitioners and researchers lack a holistic and comprehensive understanding of how and where discoverability happens. This book brings together current understandings of user needs and behaviors and poses them alongside a deeper examination of digital repositories around the theme of discoverability. It examines discoverability in digital repositories from both user and system perspectives by exploring how users access content (including their search patterns and habits, need for digital content, effects of outreach, or integration with Wikipedia and other web-based tools) and how systems support or prevent discoverability through the structure or quality of metadata, system interfaces, exposure to search engines or lack thereof, and integration with library discovery tools. Discoverability in Digital Repositories will be particularly useful to digital repository managers, practitioners, and researchers, metadata librarians, systems librarians, and user studies, usability and user experience librarians. Additionally, and perhaps most prominently, this book is composed with the emerging practitioner in mind. Instructors and students in Library and Information Science and Information Management programs will benefit from this book that specifically addresses discoverability in digital repository systems and services. |
| cu boulder ms in data science: Scientific and Technical Aerospace Reports , 1995 Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database. |
| cu boulder ms in data science: The Journal of the Astronautical Sciences , 1987 |
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