| clark university data science: Colleges that Change Lives Loren Pope, 1996 The distinctive group of forty colleges profiled here is a well-kept secret in a status industry. They outdo the Ivies and research universities in producing winners. And they work their magic on the B and C students as well as on the A students. Loren Pope, director of the College Placement Bureau, provides essential information on schools that he has chosen for their proven ability to develop potential, values, initiative, and risk-taking in a wide range of students. Inside you'll find evaluations of each school's program and personality to help you decide if it's a community that's right for you; interviews with students that offer an insider's perspective on each college; professors' and deans' viewpoints on their school, their students, and their mission; and information on what happens to the graduates and what they think of their college experience. Loren Pope encourages you to be a hard-nosed consumer when visiting a college, advises how to evaluate a school in terms of your own needs and strengths, and shows how the college experience can enrich the rest of your life. |
| clark university data science: Colleges That Change Lives Loren Pope, 2006-07-25 Prospective college students and their parents have been relying on Loren Pope's expertise since 1995, when he published the first edition of this indispensable guide. This new edition profiles 41 colleges—all of which outdo the Ivies and research universities in producing performers, not only among A students but also among those who get Bs and Cs. Contents include: Evaluations of each school's program and personality Candid assessments by students, professors, and deans Information on the progress of graduates This new edition not only revisits schools listed in previous volumes to give readers a comprehensive assessment, it also addresses such issues as homeschooling, learning disabilities, and single-sex education. |
| clark university data science: The Course Syllabus Judith Grunert O'Brien, Barbara J. Millis, Margaret W. Cohen, 2008-03-28 When it was first published in 1997, The Course Syllabus became the gold standard reference for both new and experienced college faculty. Like the first edition, this book is based on a learner-centered approach. Because faculty members are now deeply committed to engaging students in learning, the syllabus has evolved into a useful, if lengthy, document. Today's syllabus provides details about course objectives, requirements and expectations, and also includes information about teaching philosophies, specific activities and the rationale for their use, and tools essential to student success. |
| clark university data science: Interlibrary Loan Policy National Library of Medicine (U.S.), 1988 |
| clark university data science: Analytics and Data Science Amit V. Deokar, Ashish Gupta, Lakshmi S. Iyer, Mary C. Jones, 2017-10-05 This book explores emerging research and pedagogy in analytics and data science that have become core to many businesses as they work to derive value from data. The chapters examine the role of analytics and data science to create, spread, develop and utilize analytics applications for practice. Selected chapters provide a good balance between discussing research advances and pedagogical tools in key topic areas in analytics and data science in a systematic manner. This book also focuses on several business applications of these emerging technologies in decision making, i.e., business analytics. The chapters in Analytics and Data Science: Advances in Research and Pedagogy are written by leading academics and practitioners that participated at the Business Analytics Congress 2015. Applications of analytics and data science technologies in various domains are still evolving. For instance, the explosive growth in big data and social media analytics requires examination of the impact of these technologies and applications on business and society. As organizations in various sectors formulate their IT strategies and investments, it is imperative to understand how various analytics and data science approaches contribute to the improvements in organizational information processing and decision making. Recent advances in computational capacities coupled by improvements in areas such as data warehousing, big data, analytics, semantics, predictive and descriptive analytics, visualization, and real-time analytics have particularly strong implications on the growth of analytics and data science. |
| clark university data science: Processing Data Linda Brookover Bourque, Virginia Clark, 1992-06-06 This volume highlights the theory that decisions made during the design of a data collection instrument influence the kind of data and the format of the data that are available for analysis. Opening with a discussion on the selection of the data collection technique(s) and how this impacts on data processing and the data for later analysis, the book covers key issues such as: should you create your own instrument for a questionnaire? how do you test a questionnaire? what are the characteristics of good data processing? how to deal with missing data? how to scale an evaluation and create subfiles for analysis? In addition, each major section concludes with examples and when appropriate, directs the reader to commonly available computer software that can aid in data processing. |
| clark university data science: Teacher Rounds Thomas Del Prete, 2013-05-23 Teacher Rounds: Powerful peer-to-peer teacher professional development! Teachers can be leaders of their own ongoing learning—and their best professional development resources may be their own classrooms and colleagues. Applying the Teacher Rounds methodology, teachers learn with and from each other through classroom observations and inquiry and develop a trusted community of practice. Scholar-teacher Thomas Del Prete outlines every aspect of this practice-based approach to professional learning, including: Step-by-step guidance and tools for implementing Teacher Rounds Insights on creating a positive environment for honest feedback A wealth of examples from a high-performing school and across all grade levels and disciplines Based on a whole-hearted commitment to the art and science of teaching, this book helps teachers take classroom instruction to new levels of excellence. Thoughtful and packed with insights, Teacher Rounds is a valuable addition to the growing literature on important initiatives to improve teaching and learning. —Vivian Troen, Katherine C. Boles, authors of The Power of Teacher Teams Teacher Rounds is one of the best ways to get teachers out of their classrooms and into each other’s classrooms for their own learning and for school improvement. This book provides the theory and background of rounds as well as concrete examples of how a school can implement them. —Lois Easton, Educational Consultant and Author LBE Learning, Tucson, AZ The protocol of Teacher Rounds has the potential to be a powerful tool for professional learning. The focused conversations that follow observation augment the learning for all involved. —Sue Elliott, Education Consultant Suechelt Consulting, Sechelt, BC |
| clark university data science: INFORMS Analytics Body of Knowledge James J. Cochran, 2018-10-23 Standardizes the definition and framework of analytics #2 on Book Authority’s list of the Best New Analytics Books to Read in 2019 (January 2019) We all want to make a difference. We all want our work to enrich the world. As analytics professionals, we are fortunate - this is our time! We live in a world of pervasive data and ubiquitous, powerful computation. This convergence has inspired and accelerated the development of both analytic techniques and tools and this potential for analytics to have an impact has been a huge call to action for organizations, universities, and governments. This title from Institute for Operations Research and the Management Sciences (INFORMS) represents the perspectives of some of the most respected experts on analytics. Readers with various backgrounds in analytics – from novices to experienced professionals – will benefit from reading about and implementing the concepts and methods covered here. Peer reviewed chapters provide readers with in-depth insights and a better understanding of the dynamic field of analytics The INFORMS Analytics Body of Knowledge documents the core concepts and skills with which an analytics professional should be familiar; establishes a dynamic resource that will be used by practitioners to increase their understanding of analytics; and, presents instructors with a framework for developing academic courses and programs in analytics. |
| clark university data science: Models for Ecological Data James S. Clark, 2020-10-06 The environmental sciences are undergoing a revolution in the use of models and data. Facing ecological data sets of unprecedented size and complexity, environmental scientists are struggling to understand and exploit powerful new statistical tools for making sense of ecological processes. In Models for Ecological Data, James Clark introduces ecologists to these modern methods in modeling and computation. Assuming only basic courses in calculus and statistics, the text introduces readers to basic maximum likelihood and then works up to more advanced topics in Bayesian modeling and computation. Clark covers both classical statistical approaches and powerful new computational tools and describes how complexity can motivate a shift from classical to Bayesian methods. Through an available lab manual, the book introduces readers to the practical work of data modeling and computation in the language R. Based on a successful course at Duke University and National Science Foundation-funded institutes on hierarchical modeling, Models for Ecological Data will enable ecologists and other environmental scientists to develop useful models that make sense of ecological data. Consistent treatment from classical to modern Bayes Underlying distribution theory to algorithm development Many examples and applications Does not assume statistical background Extensive supporting appendixes Lab manual in R is available separately |
| clark university data science: Academic Charisma and the Origins of the Research University William Clark, 2008-11-15 Tracing the transformation of early modern academics into modern researchers from the Renaissance to Romanticism, Academic Charisma and the Origins of the Research University uses the history of the university and reframes the Protestant Ethic to reconsider the conditions of knowledge production in the modern world. William Clark argues that the research university—which originated in German Protestant lands and spread globally in the nineteenth and twentieth centuries—developed in response to market forces and bureaucracy, producing a new kind of academic whose goal was to establish originality and achieve fame through publication. With an astonishing wealth of research, Academic Charisma and the Origins of the Research University investigates the origins and evolving fixtures of academic life: the lecture catalogue, the library catalog, the grading system, the conduct of oral and written exams, the roles of conversation and the writing of research papers in seminars, the writing and oral defense of the doctoral dissertation, the ethos of lecturing with applause and publish or perish, and the role of reviews and rumor. This is a grand, ambitious book that should be required reading for every academic. |
| clark university data science: Higher Education and Sustainability Ulisses Manuel de Miranda Azeiteiro, J. Paulo Davim, 2019-08-30 The book provides descriptions of experiences from research and educational sustainability projects and the role HEIs can play together with contributions presenting a variety of initiatives showing how SDGs are being implemented. The book promotes the theoretical and practical understanding on this thematic and disseminates knowledge and international research and cooperation. Contributions cover the role of SDGs in advancing implementation of sustainable development, sustainability in higher education, the role of universities in sustainable development, new paths towards sustainable development and e-learning contributions. Features Focuses on theoretical and practical understanding on Sustainability, Higher Education and SDGs to disseminate knowledge and promote research and cooperation Includes lessons learned from sustainability research and educational challenges presenting case studies, technological developments, outputs of research and studies, best practices and examples of successful projects Discusses relevant and international perspectives on sustainability, higher education and SGDs Presents local and international contributions on a variety of initiatives showing how SDGs are being implemented |
| clark university data science: Essentials of Geophysical Data Processing Clark R. Wilson, 2021-10-21 A concise introduction to geophysical data processing - many of the techniques associated with the general field of time series analysis - for advanced students, researchers, and professionals. The textbook begins with calculus before transitioning to discrete time series via the sampling theorem, aliasing, use of complex sinusoids, development of the discrete Fourier transform from the Fourier series, and an overview of linear digital filter types and descriptions. Aimed at senior undergraduate and graduate students in geophysics, environmental science, and engineering with no previous background in linear algebra, probability, or statistics, this textbook draws scenarios and datasets from across the world of geophysics, and shows how data processing techniques can be applied to real-world problems using detailed examples, illustrations, and exercises (using MATLAB or similar computing environment). Online supplementary resources include datasets for students, and a solutions manual and all the figures from the book as PowerPoints for course instructors. |
| clark university data science: Metrics That Make a Difference Robert Gilmore Pontius Jr, 2022-03-24 Your government warns that 10% of your neighbors have a deadly contagious virus. The producer of a diagnostic test advertises that 90% of its tests are correct for any population. The test indicates that you have the virus. This book’s author claims your test has a 50% chance of being false, given your test’s result. Who do you believe? This book gives you insights necessary to interpret metrics that make a difference in life’s decisions. This book gives methods and software that are essential to analyze change and error. Change describes a phenomenon across time points. Error compares diagnoses with the truth. Other texts give insufficient attention to these topics. This book’s novel ideas dispel popular misconceptions and replace previous methods. The author uses carefully designed graphics and high school mathematics to communicate easily with college students and advanced scientists. Applications include but are not limited to Remote Sensing, Land Change Science, and Geographic Information Science. “A wide range of tools to aid understanding of land cover and its change has been used but scientific progress has sometimes been limited through misuse and misunderstanding. Professor Pontius seeks to rectify this situation by providing a book to accompany the researcher’s toolbox. Metrics That Make a Difference addresses basic issues of relevance to a broad community in a mathematically friendly way and should greatly enhance the ability to elicit correct information. I wish this book existed while I was a grad student.” – Giles Foody, Professor of Geographical Information Science, The University of Nottingham “Metrics That Make a Difference provides a comprehensive synthesis of over two decades of work during which Dr. Pontius researched, developed, and applied these metrics. The book meticulously and successfully guides the reader through the conceptual basis, computations, and proper interpretation of the many metrics derived for different types of variables. The book is not just a mathematical treatise but includes practical guidance to good data analysis and good science. Data scientists from many fields of endeavor will benefit substantially from Dr. Pontius’ articulate review of traditionally used metrics and his presentation of the innovative and novel metrics he has developed. While reading this book, I had multiple ‘aha’ moments about metrics that I shouldn't be using and metrics that I should be using instead.” – Stephen Stehman, Distinguished Teaching Professor, State University of New York |
| clark university data science: Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry Chkoniya, Valentina, 2021-06-25 The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students. |
| clark university data science: Data Fusion for Sensory Information Processing Systems James J. Clark, Alan L. Yuille, 2013-03-09 The science associated with the development of artificial sen sory systems is occupied primarily with determining how information about the world can be extracted from sensory data. For example, computational vision is, for the most part, concerned with the de velopment of algorithms for distilling information about the world and recognition of various objects in the environ (e. g. localization ment) from visual images (e. g. photographs or video frames). There are often a multitude of ways in which a specific piece of informa tion about the world can be obtained from sensory data. A subarea of research into sensory systems has arisen which is concerned with methods for combining these various information sources. This field is known as data fusion, or sensor fusion. The literature on data fusion is extensive, indicating the intense interest in this topic, but is quite chaotic. There are no accepted approaches, save for a few special cases, and many of the best methods are ad hoc. This book represents our attempt at providing a mathematical foundation upon which data fusion algorithms can be constructed and analyzed. The methodology that we present in this text is mo tivated by a strong belief in the importance of constraints in sensory information processing systems. In our view, data fusion is best un derstood as the embedding of multiple constraints on the solution to a sensory information processing problem into the solution pro cess. |
| clark university data science: Space, Place and Environment Karen Nairn, Peter G. Kraftl, Tracey Skelton, |
| clark university data science: Geographic Information Systems - Data Science Approach Rifaat Abdalla, 2024-03-13 Dive into the dynamic world of Geographic Information Systems (GIS) and data science with our comprehensive book in which innovation and insights converge. This book presents a pioneering exploration at the intersection of GIS and data science, providing a comprehensive view of their symbiotic relationship and transformative potential. It encapsulates advanced methodologies, real-world applications, and interdisciplinary approaches that redefine how we perceive and utilize spatial data. Offering a gateway to cutting-edge research and practical insights, this book serves as a crucial resource for scholars, practitioners, and enthusiasts alike. It addresses pressing challenges across diverse domains, from environmental studies to public health and predictive analytics, demonstrating the paramount significance of integrating GIS with data science methodologies. It is an essential compass guiding readers toward a deeper understanding and application of these dynamic fields in today's data-driven world. |
| clark university data science: Cognitive Therapy of Anxiety Disorders David A. Clark, Aaron T. Beck, 2011-08-10 - Winner of the American Journal of Nursing Book of the Year Award - Mental Health Nursing! Aaron T. Beck - Winner of the Lifetime Achievement Award from the National Nursing Centers Consortium! Updating and reformulating Aaron T. Beck's pioneering cognitive model of anxiety disorders, this book is both authoritative and highly practical. The authors synthesize the latest thinking and empirical data on anxiety treatment and offer step-by-step instruction in cognitive assessment, case formulation, cognitive restructuring, and behavioral intervention. They provide evidence-based mini-manuals for treating the five most common anxiety disorders: panic disorder, social phobia, generalized anxiety disorder, obsessive “compulsive disorder, and posttraumatic stress disorder. User-friendly features include vivid case examples, concise Clinician Guidelines that reinforce key points, and over three dozen reproducible handouts and forms. |
| clark university data science: Designing and Conducting Mixed Methods Research John W. Creswell, Vicki L. Plano Clark, 2011 'Designing and Conducting Mixed Methods Research' offers a practical, how-to guide for designing a mixed methods study. The text incorporates activities and exercises for classroom use or for use by the researcher in preparing designs. |
| clark university data science: Data Science for Business Foster Provost, Tom Fawcett, 2013-07-27 Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the data-analytic thinking necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates |
| clark university data science: Mindware Andy Clark, 2013-12 Ranging across both standard philosophical territory and the landscape of cutting-edge cognitive science, Mindware: An Introduction to the Philosophy of Cognitive Science, Second Edition, is a vivid and engaging introduction to key issues, research, and opportunities in the field. |
| clark university data science: Humanities Data Analysis Folgert Karsdorp, Mike Kestemont, Allen Riddell, 2021-01-12 A practical guide to data-intensive humanities research using the Python programming language The use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patterns in a vast range of source materials. Despite this growth, there are few resources addressed to students and scholars who wish to take advantage of these powerful tools. Humanities Data Analysis offers the first intermediate-level guide to quantitative data analysis for humanities students and scholars using the Python programming language. This practical textbook, which assumes a basic knowledge of Python, teaches readers the necessary skills for conducting humanities research in the rapidly developing digital environment. The book begins with an overview of the place of data science in the humanities, and proceeds to cover data carpentry: the essential techniques for gathering, cleaning, representing, and transforming textual and tabular data. Then, drawing from real-world, publicly available data sets that cover a variety of scholarly domains, the book delves into detailed case studies. Focusing on textual data analysis, the authors explore such diverse topics as network analysis, genre theory, onomastics, literacy, author attribution, mapping, stylometry, topic modeling, and time series analysis. Exercises and resources for further reading are provided at the end of each chapter. An ideal resource for humanities students and scholars aiming to take their Python skills to the next level, Humanities Data Analysis illustrates the benefits that quantitative methods can bring to complex research questions. Appropriate for advanced undergraduates, graduate students, and scholars with a basic knowledge of Python Applicable to many humanities disciplines, including history, literature, and sociology Offers real-world case studies using publicly available data sets Provides exercises at the end of each chapter for students to test acquired skills Emphasizes visual storytelling via data visualizations |
| clark university data science: The Dream Is Over Simon Marginson, 2016-09-08 A free ebook version of this title is available through Luminos, University of California Press’s Open Access publishing program for monographs. Visit www.luminosoa.org to learn more. The Dream Is Over tells the extraordinary story of the 1960 Master Plan for Higher Education in California, created by visionary University of California President Clark Kerr and his contemporaries. The Master Plan’s equality of opportunity policy brought college within reach of millions of American families for the first time and fashioned the world’s leading system of public research universities. The California idea became the leading model for higher education across the world and has had great influence in the rapid growth of universities in China and East Asia. Yet, remarkably, the political conditions supporting the California idea in California itself have evaporated. Universal access is faltering, public tuition is rising, the great research universities face new challenges, and educational participation in California, once the national leader, lags far behind. Can the social values embodied in Kerr’s vision be renewed? |
| clark university data science: Computation, Causation, and Discovery Clark N. Glymour, Gregory Floyd Cooper, 1999 |
| clark university data science: Partnership and Powerful Teacher Education Tom Del Prete, 2019-07-15 This collaborative volume offers an in-depth portrait and valuable reference for the development of clinical or school-embedded partnerships in teacher preparation by drawing on the decades-long partnership between a university and set of schools in an urban neighborhood. In the midst of a national movement towards partnership-based clinical teacher education, this book explains and illustrates the roles, commitments, and collaborative practices that have evolved. Divided into three parts, contributors outline the theory and practice of the clinical teacher preparation model and its neighborhood focus, covering topics such as: The social and institutional context of partnership development and teacher education; Key collaborative and learning practices; Challenges and questions that have emerged, and what can be learned from the experience. Written with voices of university faculty, school educators, program graduates, and students from partner schools, Thomas Del Prete offers a volume perfect for those looking to be inspired by an example of clinical teacher education and partnership in an urban community and to learn what can be achieved with conviction and perseverance over time. |
| clark university data science: COVID-19: Integrating artificial intelligence, data science, mathematics, medicine and public health, epidemiology, neuroscience, and biomedical science in pandemic management Reza Lashgari, Atefeh Abedini, Babak A. Ardekani, Arda Kiani, Seyed Alireza Nadji, Ali Yousefi, 2023-02-09 |
| clark university data science: Computer Science Project Work Sally Fincher, Marian Petre, Martyn Clark, 2013-03-14 Ninety percent of any Computing Science academic staff are involved with project work at some stage of their working life. Often they have no previous experience of how to handle it, and there are no written guidelines or reference books at the moment. Knowledge and practical experiences are often only disseminated from one institution to another when staff change jobs. This book is the first reference work to fill that gap in the market. It will be of use to lecturers and course designers who want to improve their handling of project work in specific courses, and to department heads and deans who want to learn about overall strategic issues and experiences from other institutions. |
| clark university data science: The Oxford Handbook of the Economics of Poverty Philip N. Jefferson, 2012-11-29 This Handbook examines poverty measurement, anti-poverty policy and programs, and poverty theory from the perspective of economics. It is written in a highly accessible style that encourages critical thinking about poverty. What's known about the sources of poverty and its alleviation are summarized and conventional thinking about poverty is challenged. |
| clark university data science: The Origins of Happiness Andrew E. Clark, Sarah Flèche, Richard Layard, Nattavudh Powdthavee, George Ward, 2019-08-27 A new perspective on life satisfaction and well-being over the life course What makes people happy? The Origins of Happiness seeks to revolutionize how we think about human priorities and to promote public policy changes that are based on what really matters to people. Drawing on a range of evidence using large-scale data from various countries, the authors consider the key factors that affect human well-being, including income, education, employment, family conflict, health, childcare, and crime. The Origins of Happiness offers a groundbreaking new vision for how we might become more healthy, happy, and whole. |
| clark university data science: Surfing Uncertainty Andy Clark, 2016 Exciting new theories in neuroscience, psychology, and artificial intelligence are revealing minds like ours as predictive minds, forever trying to guess the incoming streams of sensory stimulation before they arrive. In this up-to-the-minute treatment, philosopher and cognitive scientist Andy Clark explores new ways of thinking about perception, action, and the embodied mind. |
| clark university data science: e-Learning and the Science of Instruction Ruth C. Clark, Richard E. Mayer, 2016-02-19 The essential e-learning design manual, updated with the latest research, design principles, and examples e-Learning and the Science of Instruction is the ultimate handbook for evidence-based e-learning design. Since the first edition of this book, e-learning has grown to account for at least 40% of all training delivery media. However, digital courses often fail to reach their potential for learning effectiveness and efficiency. This guide provides research-based guidelines on how best to present content with text, graphics, and audio as well as the conditions under which those guidelines are most effective. This updated fourth edition describes the guidelines, psychology, and applications for ways to improve learning through personalization techniques, coherence, animations, and a new chapter on evidence-based game design. The chapter on the Cognitive Theory of Multimedia Learning introduces three forms of cognitive load which are revisited throughout each chapter as the psychological basis for chapter principles. A new chapter on engagement in learning lays the groundwork for in-depth reviews of how to leverage worked examples, practice, online collaboration, and learner control to optimize learning. The updated instructor's materials include a syllabus, assignments, storyboard projects, and test items that you can adapt to your own course schedule and students. Co-authored by the most productive instructional research scientist in the world, Dr. Richard E. Mayer, this book distills copious e-learning research into a practical manual for improving learning through optimal design and delivery. Get up to date on the latest e-learning research Adopt best practices for communicating information effectively Use evidence-based techniques to engage your learners Replace popular instructional ideas, such as learning styles with evidence-based guidelines Apply evidence-based design techniques to optimize learning games e-Learning continues to grow as an alternative or adjunct to the classroom, and correspondingly, has become a focus among researchers in learning-related fields. New findings from research laboratories can inform the design and development of e-learning. However, much of this research published in technical journals is inaccessible to those who actually design e-learning material. By collecting the latest evidence into a single volume and translating the theoretical into the practical, e-Learning and the Science of Instruction has become an essential resource for consumers and designers of multimedia learning. |
| clark university data science: How to Do Your Social Research Project Or Dissertation Tom Clark, Liam Foster, Alan Bryman, 2019 For final-year social science undergraduates, 'How to do your Social Research Project or Dissertation' is the most student-led guide to confidently navigate the research process. It shares real student and supervisor experiences to help motivate you; provides advice for efficient time management; and tracks your progress through focused checklists. |
| clark university data science: Dendroecology Mariano M. Amoroso, Lori D. Daniels, Patrick J. Baker, J. Julio Camarero, 2017-12-12 Dendroecologists apply the principles and methods of tree-ring science to address ecological questions and resolve problems related to global environmental change. In this fast-growing field, tree rings are used to investigate forest development and succession, disturbance regimes, ecotone and treeline dynamics and forest decline. This book of global scope highlights state-of-the-science dendroecological contributions to paradigm-shifts in our understanding of ecophysiology, stand dynamics, disturbance interactions, forest decline and ecosystem resilience to global environmental change and is fundamental to better managing our forested ecosystems for the full range of ecosystem goods and services that they provide. |
| clark university data science: KUMAR AND CLARK'S CLINICAL MEDICINE, INTERNATIONAL EDITION. , 2020 |
| clark university data science: Big Data and Analytics for Infectious Disease Research, Operations, and Policy National Academies of Sciences, Engineering, and Medicine, Health and Medicine Division, Board on Global Health, Forum on Microbial Threats, 2016-12-30 With the amount of data in the world exploding, big data could generate significant value in the field of infectious disease. The increased use of social media provides an opportunity to improve public health surveillance systems and to develop predictive models. Advances in machine learning and crowdsourcing may also offer the possibility to gather information about disease dynamics, such as contact patterns and the impact of the social environment. New, rapid, point-of-care diagnostics may make it possible to capture not only diagnostic information but also other potentially epidemiologically relevant information in real time. With a wide range of data available for analysis, decision-making and policy-making processes could be improved. While there are many opportunities for big data to be used for infectious disease research, operations, and policy, many challenges remain before it is possible to capture the full potential of big data. In order to explore some of the opportunities and issues associated with the scientific, policy, and operational aspects of big data in relation to microbial threats and public health, the National Academies of Sciences, Engineering, and Medicine convened a workshop in May 2016. Participants discussed a range of topics including preventing, detecting, and responding to infectious disease threats using big data and related analytics; varieties of data (including demographic, geospatial, behavioral, syndromic, and laboratory) and their broader applications; means to improve their collection, processing, utility, and validation; and approaches that can be learned from other sectors to inform big data strategies for infectious disease research, operations, and policy. This publication summarizes the presentations and discussions from the workshop. |
| clark university data science: Modern Algebra (Abstract Algebra) , |
| clark university data science: Engaging Stakeholders in Education for Sustainable Development at University Level Walter Leal Filho, Luciana Brandli, 2016-01-11 This book discusses the role of ESD stakeholders at university level, involving civil society and the private sector and public sectors (including local, national and intergovernmental bodies). In particular, it describes practical experiences, partnerships, networks, and training schemes for increasing the capacity of ESD and other initiatives aimed at promoting education for sustainable development taking place at institutions of higher education. In order to meet the pressing need for publications that may promote stakeholders’ involvement in ESD in higher education, the book particularly focuses on state-of-the-art approaches, methods, initiatives and projects from around the world, illustrating the contribution of different stakeholder groups to sustainable development in higher education on an international scale. |
| clark university data science: Cities of Light Joey Eschrich, Clark A. Miller, Patricia Romero-Lankao, Andrew Dana Hudson, Ruth Wylie, Deji Bryce Olukotun, Chris Gearhart, Lauren Withycombe Keeler, Max Gabriele, Paolo Bacigalupi, Elizabeth Monoian, Robert Ferry, Madeline Gilleran, Alana Wilson, S. B. Divya, Yíamar Rivera-Matos, Joshua Sperling, Angel Echevarria, 2021-03-08 A collection of science fiction stories, art, and essays exploring how the transition to solar energy will transform cities; catalyze revolutions in politics, governance, and culture; and create diverse futures for human communities. Cities of Light emphasizes that the design of solar energy matters in shaping the future of urban communities and explores how each city's geographic and social features, along with the arc of its particular local history, create unique challenges and opportunities as we work collectively to design more equitable energy futures. The collection features stories by award-winning science fiction authors, working in collaboration with visual artists and graphic designers, and experts from Arizona State University and the U.S. National Renewable Energy Laboratory in fields ranging from engineering and data science to sociology, public policy, and architecture. |
| clark university data science: University Calculus Joel Hass, Maurice D. Weir, George Brinton Thomas, 2008 Calculus hasn't changed, but your students have. Many of today's students have seen calculus before at the high school level. However, professors report nationwide that students come into their calculus courses with weak backgrounds in algebra and trigonometry, two areas of knowledge vital to the mastery of calculus. University Calculus: Alternate Edition responds to the needs of today's students by developing their conceptual understanding while maintaining a rigor appropriate to the calculus course. The Alternate Edition is the perfect alternative for instructors who want the same quality and quantity of exercises as Thomas' Calculus, Media Upgrade, Eleventh Edition but prefer a faster-paced presentation. University Calculus: Alternate Edition is now available with an enhanced MyMathLab(t) course-the ultimate homework, tutorial and study solution for today's students. The enhanced MyMathLab(t) course includes a rich and flexible set of course materials and features innovative Java(t) Applets, Group Projects, and new MathXL(R) exercises. This text is also available with WebAssign(R) and WeBWorK(R). |
| clark university data science: Artificial Intelligence and Soft Computing Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada, 2018-05-24 The two-volume set LNAI 10841 and LNAI 10842 constitutes the refereed proceedings of the 17th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2018, held in Zakopane, Poland in June 2018. The 140 revised full papers presented were carefully reviewed and selected from 242 submissions. The papers included in the second volume are organized in the following five parts: computer vision, image and speech analysis; bioinformatics, biometrics, and medical applications; data mining; artificial intelligence in modeling, simulation and control; and various problems of artificial intelligence. |
DATA SCIENCE - Clark University
Clark University’s Data Science major offers interdisciplinary training in quantitative analysis and machine learning, emphasizing the role of data science in promoting smart policies, equitable …
A. General Information - Clark University
Please provide data for the 2018 cohort if available. If 2018 cohort data are not available, provide data for the 2017 cohort. Of the initial cohort, how many did not persist and did not graduate …
MS in Business Analytics
Clark University, US Clark University’s Master of Science in Business Analytics (MSBA) program, offered by the School of Management, stands out as a cutting-edge and comprehensive …
Department of Computer Science - Clark University
We offer general introductory courses in computer science and data science to all Clark students, to help them become more competitive and make a greater impact in our increasingly …
Fast Facts About Our Department - Clark University
• Established programs: Major and Minor in Mathematics, Minor in Data Science, Concentration in Computational Science, Concentration in Mathematical Biology and Bioinformatics • New …
SMU Data Science Review
Human population and the accompanying infrastructure have negatively impacted the habitat and sustainability of many wildlife species around the globe. Historically, ranges for mammal …
A. General Information - Clark University
The items in this section correspond to data elements collected by the IPEDS Web-based Data Collection System’s Graduation Rate Survey (GRS). For complete instructions and definitions …
Clark Atlanta University Capability Statement - NASA
Established in 1988 by the consolidation of Atlanta University (1865) and Clark College (1869), CAU is designated by the Carnegie Foundation for the Advancement of Teaching as a …
Data Science - Lewis & Clark College
Our coursework will teach you best practices in data collection, management, measurement, visualization, analysis, and inference. Additionally, in our program, you will not only learn to …
Guide to Graduate Studies | 2022-2023 - Clark
Clark University is the launch pad to the career you want. Your journey starts with rigorous classroom academics taught by faculty practitioners who are accessible and supportive.
Clark University Data Science - origin-biomed.waters
clark university data science: Processing Data Linda Brookover Bourque, Virginia Clark, 1992-06-06 This volume highlights the theory that decisions made during the design of a data collection …
Integrating Water Data to Enhance Ecological Flows in the …
This FY 2023 WaterSMART Applied Science Grant Program proposal requests funding for a project by the Clark Fork Coalition (CFC), a nonprofit organization based in the City of …
Graduate Studies | 2023-2024
Clark University is the launchpad to the career you want. Your journey starts with rigorous classroom academics taught by accessible and supportive faculty. It is complemented by …
DATA 200 Data Science Fluency Linda E. Clark, Ph.D.
Students in Data Science 0200 will be required to contribute one actual or potential ethical issue. This issue can be copied from one of the reflection papers.
A. General Information - Clark University
Are your responses to the CDS posted for reference on your institution's Web site? We invite you to indicate if there are items on the CDS for which you cannot use the requested analytic …
Major Declaration Form - Clark University
Select your Major (& track if applicable), list advisor, get Department Approval/signature, and return to the Registrar’s Office. Self-Designed majors (DSEL) must have additional approval. …
MS in Marketing Analytics
Marketing Analytics in the US involves leveraging data to optimize marketing strategies. Graduates can work in departments such as market research, digital marketing, product …
MATH 120--Calculus I - Clark University
This Syllabus is brought to you for free and open access by the Special Collections at Clark Digital Commons. It has been accepted for inclusion in Syllabus Share by an authorized administrator …
Introduction to the Major - Clark University
As a Computer Science major, you will learn and practice fundamental skills and principles both in and outside the classroom emerging fully equipped to thrive in a dynamic and rapidly changing …
DATA SCIENCE - Clark University
Clark University’s Data Science major offers interdisciplinary training in quantitative analysis and machine learning, emphasizing the role of …
Clark Digital Commons - Clark University
At the same time, artificial intelligence and data science have played an increasingly important role in the field of sports. There are few things in the …
A. General Information - Clark University
Please provide data for the 2018 cohort if available. If 2018 cohort data are not available, provide data for the 2017 cohort. Of the initial cohort, how …
MS in Business Analytics
Clark University, US Clark University’s Master of Science in Business Analytics (MSBA) program, offered by the School of Management, stands out as a …
Department of Computer Science - Clark University
We offer general introductory courses in computer science and data science to all Clark students, to help them become more competitive and make …
