| dartmouth data science certificate: Computational Science -- ICCS 2005 V.S. Sunderam, G. Dick van Albada, Peter M.A. Sloot, Jack Dongarra, 2005-05-04 The Fifth International Conference on Computational Science (ICCS 2005) held in Atlanta, Georgia, USA, May 22-25, 2005 ... |
| dartmouth data science certificate: Platform Revolution: How Networked Markets Are Transforming the Economy and How to Make Them Work for You Geoffrey G. Parker, Marshall W. Van Alstyne, Sangeet Paul Choudary, 2016-03-28 A practical guide to the new economy that is transforming the way we live, work, and play. Uber. Airbnb. Amazon. Apple. PayPal. All of these companies disrupted their markets when they launched. Today they are industry leaders. What’s the secret to their success? These cutting-edge businesses are built on platforms: two-sided markets that are revolutionizing the way we do business. Written by three of the most sought-after experts on platform businesses, Platform Revolution is the first authoritative, fact-based book on platform models. Whether platforms are connecting sellers and buyers, hosts and visitors, or drivers with people who need a ride, Geoffrey G. Parker, Marshall W. Van Alstyne, and Sangeet Paul Choudary reveal the what, how, and why of this revolution and provide the first “owner’s manual” for creating a successful platform business. Platform Revolution teaches newcomers how to start and run a successful platform business, explaining ways to identify prime markets and monetize networks. Addressing current business leaders, the authors reveal strategies behind some of today’s up-and-coming platforms, such as Tinder and SkillShare, and explain how traditional companies can adapt in a changing marketplace. The authors also cover essential issues concerning security, regulation, and consumer trust, while examining markets that may be ripe for a platform revolution, including healthcare, education, and energy. As digital networks increase in ubiquity, businesses that do a better job of harnessing the power of the platform will win. An indispensable guide, Platform Revolution charts out the brilliant future of platforms and reveals how they will irrevocably alter the lives and careers of millions. |
| dartmouth data science certificate: Introduction to Biomedical Data Science Robert Hoyt, Robert Muenchen, 2019-11-24 Overview of biomedical data science -- Spreadsheet tools and tips -- Biostatistics primer -- Data visualization -- Introduction to databases -- Big data -- Bioinformatics and precision medicine -- Programming languages for data analysis -- Machine learning -- Artificial intelligence -- Biomedical data science resources -- Appendix A: Glossary -- Appendix B: Using data.world -- Appendix C: Chapter exercises. |
| dartmouth data science certificate: Enabling AI Applications in Data Science Aboul-Ella Hassanien, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa, 2020-09-23 This book provides a detailed overview of the latest developments and applications in the field of artificial intelligence and data science. AI applications have achieved great accuracy and performance with the help of developments in data processing and storage. It has also gained strength through the amount and quality of data which is the main nucleus of data science. This book aims to provide the latest research findings in the field of artificial intelligence with data science. |
| dartmouth data science certificate: Dartmouth Alumni Magazine , 1920 |
| dartmouth data science certificate: Quantitative Social Science Scott, Jacqueline L. Scott, Yu Xie, 2012 |
| dartmouth data science certificate: Operations Management For Dummies Mary Ann Anderson, Edward J. Anderson, Geoffrey Parker, 2013-07-09 Score your highest in Operations Management Operations management is an important skill for current and aspiring business leaders to develop and master. It deals with the design and management of products, processes, services, and supply chains. Operations management is a growing field and a required course for most undergraduate business majors and MBA candidates. Now, Operations Management For Dummies serves as an extremely resourceful aid for this difficult subject. Tracks to a typical course in operations management or operations strategy, and covers topics such as evaluating and measuring existing systems' performance and efficiency, materials management and product development, using tools like Six Sigma and Lean production, designing new, improved processes, and defining, planning, and controlling costs of projects. Clearly organizes and explains complex topics Serves as an supplement to your Operations Management textbooks Helps you score your highest in your Operations Management course Whether your aim is to earn an undergraduate degree in business or an MBA, Operations Management For Dummies is indispensable supplemental reading for your operations management course. |
| dartmouth data science certificate: Introduction to Computation and Programming Using Python, second edition John V. Guttag, 2016-08-12 The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters. Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics. |
| dartmouth data science certificate: These People Have Always Been a Republic Maurice S. Crandall, 2019-09-06 Spanning three hundred years and the colonial regimes of Spain, Mexico, and the United States, Maurice S. Crandall's sweeping history of Native American political rights in what is now New Mexico, Arizona, and Sonora demonstrates how Indigenous communities implemented, subverted, rejected, and indigenized colonial ideologies of democracy, both to accommodate and to oppose colonial power. Focusing on four groups--Pueblos in New Mexico, Hopis in northern Arizona, and Tohono O'odhams and Yaquis in Arizona/Sonora--Crandall reveals the ways Indigenous peoples absorbed and adapted colonially imposed forms of politics to exercise sovereignty based on localized political, economic, and social needs. Using sources that include oral histories and multinational archives, this book allows us to compare Spanish, Mexican, and American conceptions of Indian citizenship, and adds to our understanding of the centuries-long struggle of Indigenous groups to assert their sovereignty in the face of settler colonial rule. |
| dartmouth data science certificate: 99 Variations on a Proof Philip Ording, 2021-10-19 An exploration of mathematical style through 99 different proofs of the same theorem This book offers a multifaceted perspective on mathematics by demonstrating 99 different proofs of the same theorem. Each chapter solves an otherwise unremarkable equation in distinct historical, formal, and imaginative styles that range from Medieval, Topological, and Doggerel to Chromatic, Electrostatic, and Psychedelic. With a rare blend of humor and scholarly aplomb, Philip Ording weaves these variations into an accessible and wide-ranging narrative on the nature and practice of mathematics. Inspired by the experiments of the Paris-based writing group known as the Oulipo—whose members included Raymond Queneau, Italo Calvino, and Marcel Duchamp—Ording explores new ways to examine the aesthetic possibilities of mathematical activity. 99 Variations on a Proof is a mathematical take on Queneau’s Exercises in Style, a collection of 99 retellings of the same story, and it draws unexpected connections to everything from mysticism and technology to architecture and sign language. Through diagrams, found material, and other imagery, Ording illustrates the flexibility and creative potential of mathematics despite its reputation for precision and rigor. Readers will gain not only a bird’s-eye view of the discipline and its major branches but also new insights into its historical, philosophical, and cultural nuances. Readers, no matter their level of expertise, will discover in these proofs and accompanying commentary surprising new aspects of the mathematical landscape. |
| dartmouth data science certificate: An Introduction to Nursing Informatics, Evolution, and Innovation, 2nd Edition Susan M. Houston, Tina Dieckhaus, Bob Kircher, Michelle Lardner, 2018-11-09 Nursing informatics (NI) is the specialty that integrates nursing science with information management and analytical sciences to identify, define, manage, and communicate data, information, knowledge, and wisdom in nursing practice. Nursing Informatics supports nurses, consumers, patients, the interprofessional healthcare team, and other stakeholders in a wide variety of roles and settings to achieve desired outcomes. This is accomplished through the use of information structures, information processes, and information technology. An Introduction to Nursing Informatics, Evolution and Innovation, 2nd Edition is the ideal gateway to all the professional possibilities this continuously evolving discipline has to offer. Describing the evolution of nursing informatics from its origins to current practice in today’s complex, diverse healthcare environment, this book offers the next generation of nurse informaticists an understanding of the discipline, best practices, and its scope of influence in healthcare. The book also explores Nursing Informatics as it is evolving into the future, including technology creation and implementation and the development of influential policies and best practices. Special features include descriptions of the ‘a day in the life’ from informatics nurses in multiple roles and fields of influence, including academia, research, clinical settings, the executive suite, consulting, and government, as well as an Appendix featuring case profiles. This new edition updates the content to better align with the current state of nursing informatics and expand on additional roles. New to this edition is a chapter providing tips and advice for those trying to find their first nursing informatics job or are changing their careers. Another new chapter covers healthcare analytics and how it fits into the nursing informatics role. An Introduction to Nursing Informatics, Evolution and Innovation, 2nd Edition is the ideal resource for nursing students and as a reference guide and pint of inspiration for nurses currently in the field. |
| dartmouth data science certificate: Peterson's Graduate Programs in Computer Science & Information Technology, Electrical & Computer Engineering, and Energy & Power Engineering 2011 Peterson's, 2011-05-01 Peterson's Graduate Programs in Computer Science & Information Technology, Electrical & Computer Engineering, and Energy & Power Engineering contains a wealth of information on colleges and universities that offer graduate work these exciting fields. The profiled institutions include those in the United States, Canada and abroad that are accredited by U.S. accrediting bodies. Up-to-date data, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable information on degree offerings, professional accreditation, jointly offered degrees, part-time and evening/weekend programs, postbaccalaureate distance degrees, faculty, students, degree requirements, entrance requirements, expenses, financial support, faculty research, and unit head and application contact information. Readers will find helpful links to in-depth descriptions that offer additional detailed information about a specific program or department, faculty members and their research, and much more. In addition, there are valuable articles on financial assistance, the graduate admissions process, advice for international and minority students, and facts about accreditation, with a current list of accrediting agencies. |
| dartmouth data science certificate: Public Key Infrastructure Javier López, 2007-06-21 This volume features the refereed proceedings from the 4th European Public Key Infrastructure Workshop: Theory and Practice, held in Palma de Mallorca, Spain in June 2007. Twenty-one full papers and eight short papers, contributed by experts in the field, are included. The papers address all current issues in public key infrastructure, ranging from theoretical and foundational topics to applications and regulatory issues. |
| dartmouth data science certificate: Learning Innovation and the Future of Higher Education Joshua Kim, Edward J. Maloney, 2020-02-11 Giving higher education professionals the language and tools they need to seize new opportunities in digital learning. A quiet revolution is sweeping across US colleges and universities. As schools rethink how students learn - both inside and outside the classroom - technology is changing not only what should be taught but how best to teach it. From active learning and inclusive pedagogy to online and hybrid courses, traditional institutions are leveraging their fundamental strengths while challenging long-standing assumptions about how teaching and learning happen. At this intersection of learning, technology, design, and organizational change lies the foundation of a new academic discipline of digital learning. Coalescing around this new field of study is a common critical language, along with a set of theoretical frameworks, methodological practices, and shared challenges and goals. In Learning Innovation and the Future of Higher Education, Joshua Kim and Edward Maloney explore the context of this new discipline, show how it exists within a larger body of scholarship, and give examples of how this scholarship is being used on campuses. What Kim and Maloney demonstrate in this foundational text is an understanding that change is a complex dynamic between what happens in the classroom and the larger institutional structures and traditions at play. Ultimately, the authors make a compelling case not only for this turn to learning but also for creating new pathways for nonfaculty learning careers, understanding the limits of professional organizations and social media, and the need to establish this new interdisciplinary field of learning innovation. |
| dartmouth data science certificate: Public Key Infrastructure Andrea S. Atzeni, Antonio Lioy, 2006-06-10 This book constitutes the refereed proceedings of the Third European Public Key Infrastructure Workshop: Theory and Practice, EuroPKI 2006, held in Torino, Italy, in June 2006. The 18 revised full papers and 4 short papers presented were carefully reviewed and selected from about 50 submissions. The papers are organized in topical sections on PKI management, authentication, cryptography, applications, and short contributions. |
| dartmouth data science certificate: Peterson's Graduate Programs in Engineering & Applied Sciences 2012 Peterson's, 2012-03-09 Peterson's Graduate Programs in Engineering & Applied Sciences 2012 contains a wealth of information on accredited institutions offering graduate degree programs in these fields. Up-to-date data, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable information on degree offerings, professional accreditation, jointly offered degrees, part-time and evening/weekend programs, postbaccalaureate distance degrees, faculty, students, requirements, expenses, financial support, faculty research, and unit head and application contact information. There are helpful links to in-depth descriptions about a specific graduate program or department, faculty members and their research, and more. There are also valuable articles on financial assistance, the graduate admissions process, advice for international and minority students, and facts about accreditation, with a current list of accrediting agencies. |
| dartmouth data science certificate: Coding Literacy Annette Vee, 2017-07-28 How the theoretical tools of literacy help us understand programming in its historical, social and conceptual contexts. The message from educators, the tech community, and even politicians is clear: everyone should learn to code. To emphasize the universality and importance of computer programming, promoters of coding for everyone often invoke the concept of “literacy,” drawing parallels between reading and writing code and reading and writing text. In this book, Annette Vee examines the coding-as-literacy analogy and argues that it can be an apt rhetorical frame. The theoretical tools of literacy help us understand programming beyond a technical level, and in its historical, social, and conceptual contexts. Viewing programming from the perspective of literacy and literacy from the perspective of programming, she argues, shifts our understandings of both. Computer programming becomes part of an array of communication skills important in everyday life, and literacy, augmented by programming, becomes more capacious. Vee examines the ways that programming is linked with literacy in coding literacy campaigns, considering the ideologies that accompany this coupling, and she looks at how both writing and programming encode and distribute information. She explores historical parallels between writing and programming, using the evolution of mass textual literacy to shed light on the trajectory of code from military and government infrastructure to large-scale businesses to personal use. Writing and coding were institutionalized, domesticated, and then established as a basis for literacy. Just as societies demonstrated a “literate mentality” regardless of the literate status of individuals, Vee argues, a “computational mentality” is now emerging even though coding is still a specialized skill. |
| dartmouth data science certificate: A Doctor's Dozen Catherine Florio Pipas, MD, MPH, 2018-09-04 Burnout affects a third of our population and over half of our health professionals. For the second group, the impact is magnified, as consequences play out not only on a personal level, but also on a societal level and lead to medical errors, suboptimal care, low levels of patient satisfaction, and poor clinical outcomes. Achieving wellbeing requires strategies for change. In this book, Dr. Pipas shares twelve lessons and strategies for improved health that she has learned from patients, students, and colleagues over her twenty years working as a family physician. Each lesson is based on observation and research, and begins with a story of an exemplary patient whose challenges and successes reflect the theme of the lesson. Along with the lessons, the author offers plans for action, which taken together create the framework for a healthy life. Each lesson concludes with resources and a health challenge. |
| dartmouth data science certificate: The Thing Around Your Neck Chimamanda Ngozi Adichie, 2010-06-01 These twelve dazzling stories from Chimamanda Ngozi Adichie — the Orange Broadband Prize–winning author of Half of a Yellow Sun — are her most intimate works to date. In these stories Adichie turns her penetrating eye to the ties that bind men and women, parents and children, Nigeria and the United States. In “A Private Experience,” a medical student hides from a violent riot with a poor Muslim woman, and the young mother at the centre of “Imitation” finds her comfortable life in Philadelphia threatened when she learns that her husband has moved his mistress into their Lagos home. Searing and profound, suffused with beauty, sorrow and longing, this collection is a resounding confirmation of Adichie’s prodigious literary powers. |
| dartmouth data science certificate: Financial Cryptography and Data Security Aviv Zohar, Ittay Eyal, Vanessa Teague, Jeremy Clark, Andrea Bracciali, Federico Pintore, Massimiliano Sala, 2019-02-09 This book constitutes the refereed proceedings of 3 workshops held at the 22nd International Conference on Financial Cryptography and Data Security, FC 2018, in Nieuwport, Curaçao, in March 2018. The 23 full papers presented together with 2 short papers were carefully reviewed and selected from 52 submissions. They feature the outcome of the 5th Workshop on Bitcoin and Blockchain Research, BITCOIN 2018, the Third Workshop onSecure Voting Systems, VOTING 2018,and the Second Workshop on Trusted Smart Contracts, WTSC 2018. The papers are grouped in topical sections named: Blockchain, Distributed Ledgers, Cryptography, Bitcoin, Voting, and Smart Contracts. |
| dartmouth data science certificate: The Craft of System Security Sean Smith, John Marchesini, 2007-11-21 I believe The Craft of System Security is one of the best software security books on the market today. It has not only breadth, but depth, covering topics ranging from cryptography, networking, and operating systems--to the Web, computer-human interaction, and how to improve the security of software systems by improving hardware. Bottom line, this book should be required reading for all who plan to call themselves security practitioners, and an invaluable part of every university's computer science curriculum. --Edward Bonver, CISSP, Senior Software QA Engineer, Product Security, Symantec Corporation Here's to a fun, exciting read: a unique book chock-full of practical examples of the uses and the misuses of computer security. I expect that it will motivate a good number of college students to want to learn more about the field, at the same time that it will satisfy the more experienced professional. --L. Felipe Perrone, Department of Computer Science, Bucknell University Whether you're a security practitioner, developer, manager, or administrator, this book will give you the deep understanding necessary to meet today's security challenges--and anticipate tomorrow's. Unlike most books, The Craft of System Security doesn't just review the modern security practitioner's toolkit: It explains why each tool exists, and discusses how to use it to solve real problems. After quickly reviewing the history of computer security, the authors move on to discuss the modern landscape, showing how security challenges and responses have evolved, and offering a coherent framework for understanding today's systems and vulnerabilities. Next, they systematically introduce the basic building blocks for securing contemporary systems, apply those building blocks to today's applications, and consider important emerging trends such as hardware-based security. After reading this book, you will be able to Understand the classic Orange Book approach to security, and its limitations Use operating system security tools and structures--with examples from Windows, Linux, BSD, and Solaris Learn how networking, the Web, and wireless technologies affect security Identify software security defects, from buffer overflows to development process flaws Understand cryptographic primitives and their use in secure systems Use best practice techniques for authenticating people and computer systems in diverse settings Use validation, standards, and testing to enhance confidence in a system's security Discover the security, privacy, and trust issues arising from desktop productivity tools Understand digital rights management, watermarking, information hiding, and policy expression Learn principles of human-computer interaction (HCI) design for improved security Understand the potential of emerging work in hardware-based security and trusted computing |
| dartmouth data science certificate: Designing and Teaching the Secondary Science Methods Course Aaron J. Sickel, Stephen B. Witzig, 2017-04-13 The improvement of science education is a common goal worldwide. Countries not only seek to increase the number of individuals pursuing careers in science, but to improve scientific literacy among the general population. As the teacher is one of the greatest influences on student learning, a focus on the preparation of science teachers is essential in achieving these outcomes. A critical component of science teacher education is the methods course, where pedagogy and content coalesce. It is here that future science teachers begin to focus simultaneously on the knowledge, dispositions and skills for teaching secondary science in meaningful and effective ways. This book provides a comparison of secondary science methods courses from teacher education programs all over the world. Each chapter provides detailed descriptions of the national context, course design, teaching strategies, and assessments used within a particular science methods course, and is written by teacher educators who actively research science teacher education. The final chapter provides a synthesis of common themes and unique features across contexts, and offers directions for future research on science methods courses. This book offers a unique combination of ‘behind the scenes’ thinking for secondary science methods course designs along with practical teaching and assessment strategies, and will be a useful resource for teacher educators in a variety of international contexts. |
| dartmouth data science certificate: Perspectives on Digital Humanism Hannes Werthner, Erich Prem, Edward A. Lee, Carlo Ghezzi, 2021-11-23 This open access book aims to set an agenda for research and action in the field of Digital Humanism through short essays written by selected thinkers from a variety of disciplines, including computer science, philosophy, education, law, economics, history, anthropology, political science, and sociology. This initiative emerged from the Vienna Manifesto on Digital Humanism and the associated lecture series. Digital Humanism deals with the complex relationships between people and machines in digital times. It acknowledges the potential of information technology. At the same time, it points to societal threats such as privacy violations and ethical concerns around artificial intelligence, automation and loss of jobs, ongoing monopolization on the Web, and sovereignty. Digital Humanism aims to address these topics with a sense of urgency but with a constructive mindset. The book argues for a Digital Humanism that analyses and, most importantly, influences the complex interplay of technology and humankind toward a better society and life while fully respecting universal human rights. It is a call to shaping technologies in accordance with human values and needs. |
| dartmouth data science certificate: Afterlives of Indigenous Archives Ivy Schweitzer, Gordon Henry, 2019 Afterlives of Indigenous Archives offers a compelling critique of Western archives and their use in the development of digital humanities. The essays collected here present the work of an international and interdisciplinary group of indigenous scholars; researchers in the field of indigenous studies and early American studies; and librarians, curators, activists, and storytellers. The contributors examine various digital projects and outline their relevance to the lives and interests of tribal people and communities, along with the transformative power that access to online materials affords. The authors aim to empower native people to re-envision the Western archive as a site of community-based practices for cultural preservation, one that can offer indigenous perspectives and new technological applications for the imaginative reconstruction of the tribal past, the repatriation of the tribal memories, and a powerful vision for an indigenous future. This important and timely collection will appeal to archivists and indigenous studies scholars alike. |
| dartmouth data science certificate: A Primer of GIS, First Edition Francis James Harvey, 2008 This textbook examines the choices considered when creating geographic representations and cartographic representations, transforming spherical coordinates to planar coordinates, and modeling geographic data. Harvey (geography, University of Minnesota) introduces the three generic options for recording the locations and characteristics of things and events, the principles of remote sensing, map design elements, and geostatistical methods. Fifteen color plates are provided in the middle of the book, while black and white images are scattered throughout. |
| dartmouth data science certificate: Introduction To Algorithms Thomas H Cormen, Charles E Leiserson, Ronald L Rivest, Clifford Stein, 2001 An extensively revised edition of a mathematically rigorous yet accessible introduction to algorithms. |
| dartmouth data science certificate: The Next Production Revolution Collectif, 2017-05-10 This publication examines the opportunities and challenges, for business and government, associated with technologies bringing about the “next production revolution”. These include a variety of digital technologies (e.g. the Internet of Things and advanced robotics), industrial biotechnology, 3D printing, new materials and nanotechnology. Some of these technologies are already used in production, while others will be available in the near future. All are developing rapidly. As these technologies transform the production and the distribution of goods and services, they will have far-reaching consequences for productivity, skills, income distribution, well-being and the environment. The more that governments and firms understand how production could develop in the near future, the better placed they will be to address the risks and reap the benefits. |
| dartmouth data science certificate: Voices from Beyond Scott M. Sanders, 2022-04-27 There was much uncertainty about how voice related to body in the early eighteenth century, and this became a major subject of scientific and cultural interest. In Voices from Beyond, Scott Sanders provides an interdisciplinary and transnational study of eighteenth-century conceptions of the human voice. His book examines the diversity of thought about vocal materiality and its roles in philosophical and literary works from the period, uncovering representations of the voice that intertwine physiology with physics, music with moral philosophy, and literary description with performance. Voices from Beyond focuses on the voice as it was constructed in French works, influenced by French vocal sciences as well as British literary and philosophical texts. It considers the writing of Jean-Jacques Rousseau, Denis Diderot, François Baculard d'Arnaud, and Jacques Cazotte in particular, and explores how their texts theorize, represent, and construct three interrelated vocal types: the sentimental, the vitalist, and the uncanny. These authors represented the human voice as an intersectional organ with implications for one's emotional disposition, physical health, cultural identity, gender, and sexuality. Sanders argues that while the conception of sentimental and vitalist voices was anchored to a physiological understanding of vocal organs, this paradoxically led to the development of a disembodied, uncanny voice--one that could imitate the sounds of a good moral fiber while masking a monstrous physiology. |
| dartmouth data science certificate: DSLs in Action Debasish Ghosh, 2010-11-30 Your success—and sanity—are closer at hand when you work at a higher level of abstraction, allowing your attention to be on the business problem rather than the details of the programming platform. Domain Specific Languages—little languages implemented on top of conventional programming languages—give you a way to do this because they model the domain of your business problem. DSLs in Action introduces the concepts and definitions a developer needs to build high-quality domain specific languages. It provides a solid foundation to the usage as well as implementation aspects of a DSL, focusing on the necessity of applications speaking the language of the domain. After reading this book, a programmer will be able to design APIs that make better domain models. For experienced developers, the book addresses the intricacies of domain language design without the pain of writing parsers by hand. The book discusses DSL usage and implementations in the real world based on a suite of JVM languages like Java, Ruby, Scala, and Groovy. It contains code snippets that implement real world DSL designs and discusses the pros and cons of each implementation. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside Tested, real-world examples How to find the right level of abstraction Using language features to build internal DSLs Designing parser/combinator-based little languages |
| dartmouth data science certificate: Selling Our Death Masks Yesenia Barragan, 2014-12-12 A radical historical ethnography on the meaning of a fundamentally new physical landscape of our age of austerity: cash-for-gold shops that numerically exploded in the wake of the worst economic crisis of our times. |
| dartmouth data science certificate: AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide Somanath Nanda, Weslley Moura, 2021-03-19 Prepare to achieve AWS Machine Learning Specialty certification with this complete, up-to-date guide and take the exam with confidence Key Features Get to grips with core machine learning algorithms along with AWS implementation Build model training and inference pipelines and deploy machine learning models to the Amazon Web Services (AWS) cloud Learn all about the AWS services available for machine learning in order to pass the MLS-C01 exam Book DescriptionThe AWS Certified Machine Learning Specialty exam tests your competency to perform machine learning (ML) on AWS infrastructure. This book covers the entire exam syllabus using practical examples to help you with your real-world machine learning projects on AWS. Starting with an introduction to machine learning on AWS, you'll learn the fundamentals of machine learning and explore important AWS services for artificial intelligence (AI). You'll then see how to prepare data for machine learning and discover a wide variety of techniques for data manipulation and transformation for different types of variables. The book also shows you how to handle missing data and outliers and takes you through various machine learning tasks such as classification, regression, clustering, forecasting, anomaly detection, text mining, and image processing, along with the specific ML algorithms you need to know to pass the exam. Finally, you'll explore model evaluation, optimization, and deployment and get to grips with deploying models in a production environment and monitoring them. By the end of this book, you'll have gained knowledge of the key challenges in machine learning and the solutions that AWS has released for each of them, along with the tools, methods, and techniques commonly used in each domain of AWS ML.What you will learn Understand all four domains covered in the exam, along with types of questions, exam duration, and scoring Become well-versed with machine learning terminologies, methodologies, frameworks, and the different AWS services for machine learning Get to grips with data preparation and using AWS services for batch and real-time data processing Explore the built-in machine learning algorithms in AWS and build and deploy your own models Evaluate machine learning models and tune hyperparameters Deploy machine learning models with the AWS infrastructure Who this book is for This AWS book is for professionals and students who want to prepare for and pass the AWS Certified Machine Learning Specialty exam or gain deeper knowledge of machine learning with a special focus on AWS. Beginner-level knowledge of machine learning and AWS services is necessary before getting started with this book. |
| dartmouth data science certificate: Record , 1973 |
| dartmouth data science certificate: Annual Register of Grant Support , 2007 |
| dartmouth data science certificate: The Critical Surf Studies Reader Dexter Zavalza Hough-Snee, Alexander Sotelo Eastman, 2017-08-17 The evolution of surfing—from the first forms of wave-riding in Oceania, Africa, and the Americas to the inauguration of surfing as a competitive sport at the 2020 Tokyo Olympics—traverses the age of empire, the rise of globalization, and the onset of the digital age, taking on new meanings at each juncture. As corporations have sought to promote surfing as a lifestyle and leisure enterprise, the sport has also narrated its own epic myths that place North America at the center of surf culture and relegate Hawai‘i and other indigenous surfing cultures to the margins. The Critical Surf Studies Reader brings together eighteen interdisciplinary essays that explore surfing's history and development as a practice embedded in complex and sometimes oppositional social, political, economic, and cultural relations. Refocusing the history and culture of surfing, this volume pays particular attention to reclaiming the roles that women, indigenous peoples, and people of color have played in surfing. Contributors. Douglas Booth, Peter Brosius, Robin Canniford, Krista Comer, Kevin Dawson, Clifton Evers, Chris Gibson, Dina Gilio-Whitaker, Dexter Zavalza Hough-Snee, Scott Laderman, Kristin Lawler, lisahunter, Colleen McGloin, Patrick Moser, Tara Ruttenberg, Cori Schumacher, Alexander Sotelo Eastman, Glen Thompson, Isaiah Helekunihi Walker, Andrew Warren, Belinda Wheaton |
| dartmouth data science certificate: Oxford Textbook of Clinical Nephrology Neil N. Turner, Norbert Lameire, David J. Goldsmith, Christopher G. Winearls, Jonathan Himmelfarb, Giuseppe Remuzzi, 2015-10-29 This fourth edition of the Oxford Textbook of Clinical Nephrology builds on the success and international reputation of the publication as an important resource for the practising clinician in the field. It provides practical, scholarly, and evidence-based coverage of the full spectrum of clinical nephrology, written by a global faculty of experts. The most relevant and important reference to clinical nephrology, this is an authoritative and comprehensive textbook combining the clinical aspects of renal disease essential to daily clinical practice with extensive information about the underlying basic science and current evidence available. Each section of the textbook has been critically and comprehensively edited under the auspices of a leading expert in the field. This new edition has been significantly expanded and reapportioned to reflect developments and new approaches to topics, and includes treatment algorithms to aid and enhance patient care where possible. The fourth edition offers increased focus on the medical aspects of transplantation, HIV-associated renal disease, and infection and renal disease, alongside entirely new sections on genetic topics and clinical and physiological aspects of fluid/electrolyte and tubular disorders. The emphasis throughout is on marrying advances in scientific research with clinical management. Richly illustrated throughout in full colour, this is a truly modern and attractive edition which reinforces the Oxford Textbook of Clinical Nephrology's position as an indispensable reference work of consistent quality and reliability. Enriched and refined by careful revision, this new edition continues the tradition of excellence. This print edition of The Oxford Textbook of Clinical Nephrology comes with a year's access to the online version on Oxford Medicine Online. By activating your unique access code, you can read and annotate the full text online, follow links from the references to primary research materials, and view, enlarge and download all the figures and tables. Oxford Medicine Online is mobile optimized for access when and where you need it. |
| dartmouth data science certificate: Machine Learning for Financial Risk Management with Python Abdullah Karasan, 2021-12-07 Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, risk analysts, and quantitative and algorithmic analysts will examine Python-based machine learning and deep learning models for assessing financial risk. Building hands-on AI-based financial modeling skills, you'll learn how to replace traditional financial risk models with ML models. Author Abdullah Karasan helps you explore the theory behind financial risk modeling before diving into practical ways of employing ML models in modeling financial risk using Python. With this book, you will: Review classical time series applications and compare them with deep learning models Explore volatility modeling to measure degrees of risk, using support vector regression, neural networks, and deep learning Improve market risk models (VaR and ES) using ML techniques and including liquidity dimension Develop a credit risk analysis using clustering and Bayesian approaches Capture different aspects of liquidity risk with a Gaussian mixture model and Copula model Use machine learning models for fraud detection Predict stock price crash and identify its determinants using machine learning models |
| dartmouth data science certificate: The End of Diversity As We Know It Martin N. Davidson, 2011-11-17 “In plain English, Martin Davidson explains how diversity can make a company more efficient and innovative, which leads to greater profits.” —Reginald Hudlin, producer/director and former President, Black Entertainment Television, Inc. A conversation with a CFO he worked with led Martin Davidson to explore the flaws in how companies typically manage diversity. They don’t integrate diversity into their overall business strategy. They focus on differences that have little impact on their business. And often their diversity efforts end up hindering the professional development of the very people they were designed to help. Davidson explains how what he calls Leveraging DifferenceTM turns persistent diversity problems into solutions that drive business results. Difference becomes a powerful source of sustainable competitive advantage instead of a distracting mandate handed down from HR. To begin with, leaders must identify the differences most important to achieving organizational goals, even if the differences aren’t the obvious ones. The second challenge is to help employees work together to understand the ways these differences matter to the business. Finally, leaders need to experiment with how to use these relevant differences to get things done. Davidson provides compelling examples of how organizations have tackled each of these challenges. Ultimately this is a book about leadership. As with any other strategic imperative, leaders need to take an active role—drive rather than just delegate. Successfully leveraging difference can be what distinguishes an ordinary organization from an extraordinary one. “This extensively researched book moves the diversity paradigm from the human resource cubicle to the whole organization, the tactical to the strategic, the short term to the sustainable, and the domestic to the global.” —Dr. Austin Ifedirah, Founder & Managing Partner, Engagent Health |
| dartmouth data science certificate: Graduate Programs in Engineering & Applied Sciences 2015 (Grad 5) Peterson's, 2014-11-11 Peterson's Graduate Programs in Engineering & Applied Sciences 2015 contains comprehensive profiles of more than 3,850 graduate programs in all relevant disciplines-including aerospace/aeronautical engineering, agricultural engineering & bioengineering, chemical engineering, civil and environmental engineering, computer science and information technology, electrical and computer engineering, industrial engineering, telecommunications, and more. Two-page in-depth descriptions, written by featured institutions, offer complete details on a specific graduate program, school, or department as well as information on faculty research. Comprehensive directories list programs in this volume, as well as others in the Peterson's graduate series. |
| dartmouth data science certificate: The College Blue Book , 1923 |
| dartmouth data science certificate: Environmental Evolution Lynn Margulis, Clifford Matthews, Aaron Haselton, 2000 Fifteen distinguished scientists discuss the effects of life--past and present--on planet Earth. |
MASTER of SCIENCE Computer Science - UMassD
This certificate can be taken either online or in the classroom; it requires the completion of two core courses and three additional CIS 500/600-level courses (15 credits).
Data Science Curriculum Flowchart (120 credits) - umassd.edu
To Data Science [3] (Fall) MTH 153 (or 151) Calculus Appl Sci Engin I [4] (Fall/Spring) CIS 180 Object-Oriented Prog I [4] (Fall/Spring) MTH 154 (or 152) ... The Laboratory Science I/II …
Organization, Regulations, and Courses 2024-25 - Dartmouth
Jan 13, 1986 · Dartmouth faculty are passionate about teaching our students and are at the forefront of their scholarly or creative work. Dartmouth embraces diversity with the knowledge …
DARTMOUTH SUMMER SCHOLARS
Students will receive a Dartmouth-branded certificate of completion at the end of the program.*This is an academy-style class. Students will choose one course that will meet in the …
UMass Dartmouth – Program in Data Science Requirements …
UMass Dartmouth – Program in Data Science Requirements for Bachelor of Science In Data Science. 1 (updated: 04/18/2025 jm) Student Name: _____ Date: _____
GEISEL ANNOUNCES NEW MASTER’S DEGREE IN …
This new degree is part of Dartmouth’s innovative interdisciplinary graduate program, which trains doctoral students in bioinformatics, biostatistics, and epidemiology.
Summer/Pre-Term Fall Winter Spring Summer - Dartmouth
For the Fall Quarter, this unit limit does not include pre-term mandatory courses QBS 103: Foundations of Data Science, QBS 700: Responsible and Ethical Conduct of Research, or …
What We Will - Guarini School of Graduate and Advanced …
The QBS M.S. programs seek to provide rigorous quantitative training to develop analytical and prudent professionals for productive careers in healthcare or biomedicine. Philosophy.
Data Science Major Curriculum Requirements Catalog Year …
North Dartmouth MA 02747-2300 508.999.8539 coe@umassd.edu . Data Science Major . Curriculum Requirements . Catalog Year 2020-21 to present . FRESHMAN YEAR First …
Certified Data Scientist (CDS) - IABAC
This document is intended to provide information on Certified Data Scientist (CDS-DS1050) certification for registered training providers to structure the course curriculum as per IABAC …
Data Science, Certificate - Marquette University
The data science certificate curriculum is designed to connect data analytics and data science skills and knowledge with the needs evident in a host of fields. This program seeks to meet a …
Data Science Certificate
data science (e.g., Python, R, Julia); be able to extract, manipulate, and visualize data; have an understanding of probability and statistics in order to quantify uncertainty; be able to build …
Certificate in Data Analytics - IIT Guwahati
Module 1 - Data Science Funda-mentals • Thought Experiment: Data Science from a layman’s perspective • Brief intro to Data Science • How companies use Data Science • Overview of …
UNDERGRADUATE CERTIFICATE APPLICATIONS IN …
• The data science certificate program offers training in both foundations and applications of data science for students in all colleges and majors. • Professionals trained in data science have …
A. General Information - Dartmouth
• For complete instructions and definitions of data elements, see the IPEDS GRS Forms and Instructions for the 2021-2022 Survey. https://nces.ed.gov/ipeds/use-the-data/survey …
QBS Rules and Regulations for Masters Students - Dartmouth
Program offers three concentrations, Health Data Science, Epidemiology, and Medical Informatics. The QBS Master of Science Degree in Health Data Science provides training in …
WHY DATA SCIENCE? THE PROGRAM REQUIREMENTS
Students who earn this certificate will have a foundation in statistical, mathematical and computational techniques for the analysis of large-scale or complex datasets and will apply …
SUMMER Fall Winter Spring Summer - Dartmouth
GEISELMED.DARTMOUTH.EDU Timetable – Health Data Science (18 Units) Fall: 1 st Yr Winter Spring Summer Fall: 2 nd Yr 4 Units 4 Units 4 Units 3 Units 3 Units QBS181: Data Wrangling …
CERTIFICATE PROGRAMME IN DATA SCIENCE
Become industry-ready with an in-depth understanding of in-demand data science and machine learning tools and techniques with Python. WHO IS THIS PROGRAMME FOR? The …
What We Will Cover Today - Guarini School of Graduate and …
Masters of Science (MS) • Health Data Science • Epidemiology • Medical Informatics • First QBS M.S. class in 2018
MASTER of SCIENCE Computer Science - UMassD
This certificate can be taken either online or in the classroom; it requires the completion of two core courses and three additional CIS 500/600-level courses (15 credits).
Data Science Curriculum Flowchart (120 credits) - umassd.edu
To Data Science [3] (Fall) MTH 153 (or 151) Calculus Appl Sci Engin I [4] (Fall/Spring) CIS 180 Object-Oriented Prog I [4] (Fall/Spring) MTH 154 (or 152) ... The Laboratory Science I/II …
Organization, Regulations, and Courses 2024-25 - Dartmouth
Jan 13, 1986 · Dartmouth faculty are passionate about teaching our students and are at the forefront of their scholarly or creative work. Dartmouth embraces diversity with the knowledge …
DARTMOUTH SUMMER SCHOLARS
Students will receive a Dartmouth-branded certificate of completion at the end of the program.*This is an academy-style class. Students will choose one course that will meet in the …
UMass Dartmouth – Program in Data Science Requirements …
UMass Dartmouth – Program in Data Science Requirements for Bachelor of Science In Data Science. 1 (updated: 04/18/2025 jm) Student Name: _____ Date: _____
GEISEL ANNOUNCES NEW MASTER’S DEGREE IN HEALTH …
This new degree is part of Dartmouth’s innovative interdisciplinary graduate program, which trains doctoral students in bioinformatics, biostatistics, and epidemiology.
Summer/Pre-Term Fall Winter Spring Summer - Dartmouth
For the Fall Quarter, this unit limit does not include pre-term mandatory courses QBS 103: Foundations of Data Science, QBS 700: Responsible and Ethical Conduct of Research, or …
What We Will - Guarini School of Graduate and Advanced …
The QBS M.S. programs seek to provide rigorous quantitative training to develop analytical and prudent professionals for productive careers in healthcare or biomedicine. Philosophy.
Data Science Major Curriculum Requirements Catalog Year …
North Dartmouth MA 02747-2300 508.999.8539 coe@umassd.edu . Data Science Major . Curriculum Requirements . Catalog Year 2020-21 to present . FRESHMAN YEAR First …
Certified Data Scientist (CDS) - IABAC
This document is intended to provide information on Certified Data Scientist (CDS-DS1050) certification for registered training providers to structure the course curriculum as per IABAC …
Data Science, Certificate - Marquette University
The data science certificate curriculum is designed to connect data analytics and data science skills and knowledge with the needs evident in a host of fields. This program seeks to meet a …
Data Science Certificate
data science (e.g., Python, R, Julia); be able to extract, manipulate, and visualize data; have an understanding of probability and statistics in order to quantify uncertainty; be able to build …
Certificate in Data Analytics - IIT Guwahati
Module 1 - Data Science Funda-mentals • Thought Experiment: Data Science from a layman’s perspective • Brief intro to Data Science • How companies use Data Science • Overview of …
UNDERGRADUATE CERTIFICATE APPLICATIONS IN DATA …
• The data science certificate program offers training in both foundations and applications of data science for students in all colleges and majors. • Professionals trained in data science have …
A. General Information - Dartmouth
• For complete instructions and definitions of data elements, see the IPEDS GRS Forms and Instructions for the 2021-2022 Survey. https://nces.ed.gov/ipeds/use-the-data/survey …
QBS Rules and Regulations for Masters Students - Dartmouth
Program offers three concentrations, Health Data Science, Epidemiology, and Medical Informatics. The QBS Master of Science Degree in Health Data Science provides training in …
WHY DATA SCIENCE? THE PROGRAM REQUIREMENTS - Purdue
Students who earn this certificate will have a foundation in statistical, mathematical and computational techniques for the analysis of large-scale or complex datasets and will apply …
SUMMER Fall Winter Spring Summer - Dartmouth
GEISELMED.DARTMOUTH.EDU Timetable – Health Data Science (18 Units) Fall: 1 st Yr Winter Spring Summer Fall: 2 nd Yr 4 Units 4 Units 4 Units 3 Units 3 Units QBS181: Data Wrangling …
CERTIFICATE PROGRAMME IN DATA SCIENCE & MACHINE …
Become industry-ready with an in-depth understanding of in-demand data science and machine learning tools and techniques with Python. WHO IS THIS PROGRAMME FOR? The …
What We Will Cover Today - Guarini School of Graduate and …
Masters of Science (MS) • Health Data Science • Epidemiology • Medical Informatics • First QBS M.S. class in 2018
