| brown data science masters acceptance rate: Doing Data Science Cathy O'Neil, Rachel Schutt, 2013-10-09 Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. Topics include: Statistical inference, exploratory data analysis, and the data science process Algorithms Spam filters, Naive Bayes, and data wrangling Logistic regression Financial modeling Recommendation engines and causality Data visualization Social networks and data journalism Data engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course. |
| brown data science masters acceptance rate: Research in Biological and Medical Sciences Walter Reed Army Institute of Research, 1973 |
| brown data science masters acceptance rate: Data Science and Machine Learning Dirk P. Kroese, Zdravko Botev, Thomas Taimre, Radislav Vaisman, 2019-11-20 Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked-out examples Many concrete algorithms with actual code |
| brown data science masters acceptance rate: College Admissions Data Sourcebook Northeast Edition Bound 2010-11 , 2010-09 |
| brown data science masters acceptance rate: Statistical Thinking from Scratch M. D. Edge, 2019 Focuses on detailed instruction in a single statistical technique, simple linear regression (SLR), with the goal of gaining tools, understanding, and intuition that can be applied to other contexts. |
| brown data science masters acceptance rate: SQL Pocket Guide Alice Zhao, 2021-08-26 If you use SQL in your day-to-day work as a data analyst, data scientist, or data engineer, this popular pocket guide is your ideal on-the-job reference. You'll find many examples that address the language's complexities, along with key aspects of SQL used in Microsoft SQL Server, MySQL, Oracle Database, PostgreSQL, and SQLite. In this updated edition, author Alice Zhao describes how these database management systems implement SQL syntax for both querying and making changes to a database. You'll find details on data types and conversions, regular expression syntax, window functions, pivoting and unpivoting, and more. Quickly look up how to perform specific tasks using SQL Apply the book's syntax examples to your own queries Update SQL queries to work in five different database management systems NEW: Connect Python and R to a relational database NEW: Look up frequently asked SQL questions in the How Do I? chapter |
| brown data science masters acceptance rate: TinyML Pete Warden, Daniel Situnayake, 2019-12-16 Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size |
| brown data science masters acceptance rate: 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. |
| brown data science masters acceptance rate: Hacking Growth Sean Ellis, Morgan Brown, 2017-04-25 The definitive playbook by the pioneers of Growth Hacking, one of the hottest business methodologies in Silicon Valley and beyond. It seems hard to believe today, but there was a time when Airbnb was the best-kept secret of travel hackers and couch surfers, Pinterest was a niche web site frequented only by bakers and crafters, LinkedIn was an exclusive network for C-suite executives and top-level recruiters, Facebook was MySpace’s sorry step-brother, and Uber was a scrappy upstart that didn’t stand a chance against the Goliath that was New York City Yellow Cabs. So how did these companies grow from these humble beginnings into the powerhouses they are today? Contrary to popular belief, they didn’t explode to massive worldwide popularity simply by building a great product then crossing their fingers and hoping it would catch on. There was a studied, carefully implemented methodology behind these companies’ extraordinary rise. That methodology is called Growth Hacking, and it’s practitioners include not just today’s hottest start-ups, but also companies like IBM, Walmart, and Microsoft as well as the millions of entrepreneurs, marketers, managers and executives who make up the community of Growth Hackers. Think of the Growth Hacking methodology as doing for market-share growth what Lean Start-Up did for product development, and Scrum did for productivity. It involves cross-functional teams and rapid-tempo testing and iteration that focuses customers: attaining them, retaining them, engaging them, and motivating them to come back and buy more. An accessible and practical toolkit that teams and companies in all industries can use to increase their customer base and market share, this book walks readers through the process of creating and executing their own custom-made growth hacking strategy. It is a must read for any marketer, entrepreneur, innovator or manger looking to replace wasteful big bets and spaghetti-on-the-wall approaches with more consistent, replicable, cost-effective, and data-driven results. |
| brown data science masters acceptance rate: Museums and Digital Culture Tula Giannini, Jonathan P. Bowen, 2019-05-06 This book explores how digital culture is transforming museums in the 21st century. Offering a corpus of new evidence for readers to explore, the authors trace the digital evolution of the museum and that of their audiences, now fully immersed in digital life, from the Internet to home and work. In a world where life in code and digits has redefined human information behavior and dominates daily activity and communication, ubiquitous use of digital tools and technology is radically changing the social contexts and purposes of museum exhibitions and collections, the work of museum professionals and the expectations of visitors, real and virtual. Moving beyond their walls, with local and global communities, museums are evolving into highly dynamic, socially aware and relevant institutions as their connections to the global digital ecosystem are strengthened. As they adopt a visitor-centered model and design visitor experiences, their priorities shift to engage audiences, convey digital collections, and tell stories through exhibitions. This is all part of crafting a dynamic and innovative museum identity of the future, made whole by seamless integration with digital culture, digital thinking, aesthetics, seeing and hearing, where visitors are welcomed participants. The international and interdisciplinary chapter contributors include digital artists, academics, and museum professionals. In themed parts the chapters present varied evidence-based research and case studies on museum theory, philosophy, collections, exhibitions, libraries, digital art and digital future, to bring new insights and perspectives, designed to inspire readers. Enjoy the journey! |
| brown data science masters acceptance rate: Operations Research and Artificial Intelligence: The Integration of Problem-Solving Strategies Donald E. Brown, Chelsea C. White III, 2012-12-06 The purpose of this book is to introduce and explain research at the boundary between two fields that view problem solving from different perspectives. Researchers in operations research and artificial intelligence have traditionally remained separate in their activities. Recently, there has been an explosion of work at the border of the two fields, as members of both communities seek to leverage their activities and resolve problems that remain intractable to pure operations research or artificial intelligence techniques. This book presents representative results from this current flurry of activity and provides insights into promising directions for continued exploration. This book should be of special interest to researchers in artificial intelligence and operations research because it exposes a number of applications and techniques, which have benefited from the integration of problem solving strategies. Even researchers working on different applications or with different techniques can benefit from the descriptions contained here, because they provide insight into effective methods for combining approaches from the two fields. Additionally, researchers in both communities will find a wealth of pointers to challenging new problems and potential opportunities that exist at the interface between operations research and artificial intelligence. In addition to the obvious interest the book should have for members of the operations research and artificial intelligence communities, the papers here are also relevant to members of other research communities and development activities that can benefit from improvements to fundamental problem solving approaches. |
| brown data science masters acceptance rate: The Data Science Design Manual Steven S. Skiena, 2017-07-01 This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com) |
| brown data science masters acceptance rate: Grit Angela Duckworth, 2016-05-03 In this instant New York Times bestseller, Angela Duckworth shows anyone striving to succeed that the secret to outstanding achievement is not talent, but a special blend of passion and persistence she calls “grit.” “Inspiration for non-geniuses everywhere” (People). The daughter of a scientist who frequently noted her lack of “genius,” Angela Duckworth is now a celebrated researcher and professor. It was her early eye-opening stints in teaching, business consulting, and neuroscience that led to her hypothesis about what really drives success: not genius, but a unique combination of passion and long-term perseverance. In Grit, she takes us into the field to visit cadets struggling through their first days at West Point, teachers working in some of the toughest schools, and young finalists in the National Spelling Bee. She also mines fascinating insights from history and shows what can be gleaned from modern experiments in peak performance. Finally, she shares what she’s learned from interviewing dozens of high achievers—from JP Morgan CEO Jamie Dimon to New Yorker cartoon editor Bob Mankoff to Seattle Seahawks Coach Pete Carroll. “Duckworth’s ideas about the cultivation of tenacity have clearly changed some lives for the better” (The New York Times Book Review). Among Grit’s most valuable insights: any effort you make ultimately counts twice toward your goal; grit can be learned, regardless of IQ or circumstances; when it comes to child-rearing, neither a warm embrace nor high standards will work by themselves; how to trigger lifelong interest; the magic of the Hard Thing Rule; and so much more. Winningly personal, insightful, and even life-changing, Grit is a book about what goes through your head when you fall down, and how that—not talent or luck—makes all the difference. This is “a fascinating tour of the psychological research on success” (The Wall Street Journal). |
| brown data science masters acceptance rate: The Grants Register 2025 Palgrave Macmillan, |
| brown data science masters acceptance rate: The Engaged Scholar Andrew J. Hoffman, 2021-03-02 Society and democracy are ever threatened by the fall of fact. Rigorous analysis of facts, the hard boundary between truth and opinion, and fidelity to reputable sources of factual information are all in alarming decline. A 2018 report published by the RAND Corporation labeled this problem truth decay and Andrew J. Hoffman lays the challenge of fixing it at the door of the academy. But, as he points out, academia is prevented from carrying this out due to its own existential crisis—a crisis of relevance. Scholarship rarely moves very far beyond the walls of the academy and is certainly not accessing the primarily civic spaces it needs to reach in order to mitigate truth corruption. In this brief but compelling book, Hoffman draws upon existing literature and personal experience to bring attention to the problem of academic insularity—where it comes from and where, if left to grow unchecked, it will go—and argues for the emergence of a more publicly and politically engaged scholar. This book is a call to make that path toward public engagement more acceptable and legitimate for those who do it; to enlarge the tent to be inclusive of multiple ways that one enacts the role of academic scholar in today's world. |
| brown data science masters acceptance rate: Data Science for Undergraduates National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Board on Science Education, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Computer Science and Telecommunications Board, Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective, 2018-11-11 Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field. |
| brown data science masters acceptance rate: Data Science & Business Analytics Sneha Kumari, K. K. Tripathy, Vidya Kumbhar, 2020-12-04 Data Science & Business Analytics explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications. |
| brown data science masters acceptance rate: College Admissions Data Sourcebook Northeast Edition Looseleaf 2010-11 , 2010-09 |
| brown data science masters acceptance rate: 2012-2013 College Admissions Data Sourcebook Northeast Edition , |
| brown data science masters acceptance rate: GMAT Official Guide Verbal Review 2022 GMAC (Graduate Management Admission Council), 2021-06-16 Add over 340 verbal practice questions to your prep. Designed by the makers of the GMAT™ exam. Your official source of real GMAT questions from past exams. Set yourself up for success with extra practice on the verbal section of the GMAT exam. Study with over 340 practice questions not included in GMAT™ Official Guide 2022: Book & Online Question Bank! Review answer explanations to help improve your performance. GMAT practice questions are organized by difficulty level: easy, medium and hard. Start at the beginning and work your way up to the hard questions as you build upon your knowledge. All practice questions are from past GMAT exams. The GMAT™ Official Guide Verbal Review 2022: Book + Online Question Bank provides 3 ways to study: Book: Know what to expect on the GMAT exam Learn the exam structure with an introductory review chapter followed by 25 practice questions. Review common formulas and concepts using quick reference sheets. Master reading comprehension and critical reasoning with over 340 practice questions from past GMAT exams, organized by difficulty level. GMAT Online Prep Tools: Focus your studying – Bonus: included with purchase! Practice online with the same questions from the book. Create custom practice sets by difficulty level and by fundamental skill. Track your progress using performance metrics. Prepare for exam day by timing your practice in exam mode. Test your knowledge of key concepts with flashcards. Prepare with the Online Question Bank, which includes online-exclusive questions filterable by difficulty level, question type, fundamental skills, and more. Study anytime, anywhere with the Mobile App: review and reattempt practice sets to improve performance in study or exam mode. Mobile App: Your GMAT prep on the go Study offline after downloading the question sets. Sync between devices. Start on your phone, finish on your computer. Add GMAT™ Official Guide Verbal Review 2022: Book + Online Question Bank to your GMAT prep; the official source of practice questions from past GMAT exams. This product includes a print book with a unique access code to the Online Question Bank and Mobile App. |
| brown data science masters acceptance rate: Resources in Women's Educational Equity , 1979 Literature cited in AGRICOLA, Dissertations abstracts international, ERIC, ABI/INFORM, MEDLARS, NTIS, Psychological abstracts, and Sociological abstracts. Selection focuses on education, legal aspects, career aspects, sex differences, lifestyle, and health. Common format (bibliographical information, descriptors, and abstracts) and ERIC subject terms used throughout. Contains order information. Subject, author indexes. |
| brown data science masters acceptance rate: On Task David Badre, 2022-02-22 A look at the extraordinary ways the brain turns thoughts into actions—and how this shapes our everyday lives Why is it hard to text and drive at the same time? How do you resist eating that extra piece of cake? Why does staring at a tax form feel mentally exhausting? Why can your child expertly fix the computer and yet still forget to put on a coat? From making a cup of coffee to buying a house to changing the world around them, humans are uniquely able to execute necessary actions. How do we do it? Or in other words, how do our brains get things done? In On Task, cognitive neuroscientist David Badre presents the first authoritative introduction to the neuroscience of cognitive control—the remarkable ways that our brains devise sophisticated actions to achieve our goals. We barely notice this routine part of our lives. Yet, cognitive control, also known as executive function, is an astonishing phenomenon that has a profound impact on our well-being. Drawing on cutting-edge research, vivid clinical case studies, and examples from daily life, Badre sheds light on the evolution and inner workings of cognitive control. He examines issues from multitasking and willpower to habitual errors and bad decision making, as well as what happens as our brains develop in childhood and change as we age—and what happens when cognitive control breaks down. Ultimately, Badre shows that cognitive control affects just about everything we do. A revelatory look at how billions of neurons collectively translate abstract ideas into concrete plans, On Task offers an eye-opening investigation into the brain’s critical role in human behavior. |
| brown data science masters acceptance rate: Law and Policy for the Quantum Age Chris Jay Hoofnagle, Simson L. Garfinkel, 2022-01-06 The Quantum Age cuts through the hype to demystify quantum technologies, their development paths, and the policy issues they raise. |
| brown data science masters acceptance rate: In the Matter of Brown University, Employer, and International Union, United Automobile, Aerospace and Agricultural Implement Workers of America, UAW, AFL-CIO, Petitioner , 2001 |
| brown data science masters acceptance rate: Learning How to Learn Barbara Oakley, PhD, Terrence Sejnowski, PhD, Alistair McConville, 2018-08-07 A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course Learning How to Learn have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid rut think in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun. |
| brown data science masters acceptance rate: Data Science in Practice Alan Said, Vicenç Torra, 2018-09-19 This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and time again in the mainstream media. However, our understanding of what they actually mean often remains limited. This book provides a general overview of the terms and approaches used broadly in data science, and provides detailed information on the underlying theories, models, and application scenarios. Divided into three main parts, it addresses what data science is; how and where it is used; and how it can be implemented using modern open source software. The book offers an essential guide to modern data science for all students, practitioners, developers and managers seeking a deeper understanding of how various aspects of data science work, and of how they can be employed to gain a competitive advantage. |
| brown data science masters acceptance rate: Data Science in Context Alfred Z. Spector, Peter Norvig, Chris Wiggins, Jeannette M. Wing, 2022-10-20 Four leading experts convey the promise of data science and examine challenges in achieving its benefits and mitigating some harms. |
| brown data science masters acceptance rate: Social Science Research Anol Bhattacherjee, 2012-04-01 This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages. |
| brown data science masters acceptance rate: White Awareness Judy H. Katz, 1978 Stage 1. |
| brown data science masters acceptance rate: Urban Fortunes John R. Logan, Harvey Luskin Molotch, 2007-08-28 Twenty years after publication, Urban Fortunes remains the best book on urban sociology around. Starting from a political economy analysis, Logan and Molotch develop a picture of the formative processes creating the contemporary American city while managing to avoid the pitfalls of determinism.—Susan Fainstein, Harvard University |
| brown data science masters acceptance rate: Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky Andrew M. Olney, |
| brown data science masters acceptance rate: The Digital Humanities Coursebook Johanna Drucker, 2021-03-25 The Digital Humanities Coursebook provides critical frameworks for the application of digital humanities tools and platforms, which have become an integral part of work across a wide range of disciplines. Written by an expert with twenty years of experience in this field, the book is focused on the principles and fundamental concepts for application, rather than on specific tools or platforms. Each chapter contains examples of projects, tools, or platforms that demonstrate these principles in action. The book is structured to complement courses on digital humanities and provides a series of modules, each of which is organized around a set of concerns and topics, thought experiments and questions, as well as specific discussions of the ways in which tools and platforms work. The book covers a wide range of topics and clearly details how to integrate the acquisition of expertise in data, metadata, classification, interface, visualization, network analysis, topic modeling, data mining, mapping, and web presentation with issues in intellectual property, sustainability, privacy, and the ethical use of information. Written in an accessible and engaging manner, The Digital Humanities Coursebook will be a useful guide for anyone teaching or studying a course in the areas of digital humanities, library and information science, English, or computer science. The book will provide a framework for direct engagement with digital humanities and, as such, should be of interest to others working across the humanities as well. |
| brown data science masters acceptance rate: Careers in Libraries, Museums and Archives Canada. Employment and Immigration Canada (Commission). Occupational and Career Analysis and Development, 1978 |
| brown data science masters acceptance rate: Catalog of Copyright Entries Library of Congress. Copyright Office, 1976 |
| brown data science masters acceptance rate: Masters Theses in the Pure and Applied Sciences Wade H. Shafer, 2012-12-06 Masters Theses in the Pure and Applied Sciences was first conceived, published, and disseminated by the Center for Information and Numerical Data Analysis and Synthesis (CINDAS)* at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dis semination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the though that such an arrangement would be more beneficial to the academic and general scientific and technical community. After five years of this joint undertaking we had concluded that it was in the interest of all concerned if the printing and distribution of the volumes were handled by an international publishing house to assure improved service and broader dissemi nation. Hence, starting with Volume 18, Masters Theses in the Pure and Applied Sciences has been disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 37 (thesis year 1992) a total of 12,549 thesis titles from 25 Canadian and 153 United States universities. We are sure that this broader base for these titles reported will greatly enhance the value of this impor tant annual reference work. While Volume 37 reports theses submitted in 1992, on occasion, certain uni versities do report theses submitted in previous years but not reported at the time. |
| brown data science masters acceptance rate: University Libraries and Digital Learning Environments Jill Beard, 2016-02-24 University libraries around the world have embraced the possibilities of the digital learning environment, facilitating its use and proactively seeking to develop the provision of electronic resources and services. The digital environment offers opportunities and challenges for librarians in all aspects of their work - in information literacy, virtual reference, institutional repositories, e-learning, managing digital resources and social media. The authors in this timely book are leading experts in the field of library and information management, and are at the forefront of change in their respective institutions. University Libraries and Digital Learning Environments will be invaluable for all those involved in managing libraries or learning services, whether acquiring electronic resources or developing and delivering services in digital environments. |
| brown data science masters acceptance rate: Encyclopedia of Nanoscience and Society David H. Guston, 2010-07-14 Labeled either as the next industrial revolution or as just hype, nanoscience and nanotechnologies are controversial, touted by some as the likely engines of spectacular transformation of human societies and even human bodies, and by others as conceptually flawed. These challenges make an encyclopedia of nanoscience and society an absolute necessity. Providing a guide to what these understandings and challenges are about, the Encyclopedia of Nanoscience and Society offers accessible descriptions of some of the key technical achievements of nanoscience along with its history and prospects. Rather than a technical primer, this encyclopedia instead focuses on the efforts of governments around the world to fund nanoscience research and to tap its potential for economic development as well as to assess how best to regulate a new technology for the environmental, occupational, and consumer health and safety issues related to the field. Contributions examine and analyze the cultural significance of nanoscience and nanotechnologies and describe some of the organizations, and their products, that promise to make nanotechnologies a critical part of the global economy. Written by noted scholars and practitioners from around the globe, these two volumes offer nearly 500 entries describing the societal aspects of nanoscience and nanotechnology. Key Themes - Art, Design, and Materials - Bionanotechnology Centers - Context - Economics and Business - Engagement and the Public - Environment and Risk - Ethics and Values - Geographies and Distribution - History and Philosophy - Integration and Interdisciplinarity - Nanotechnology Companies - Nanotechnology Organizations |
| brown data science masters acceptance rate: Introduction to Probability Joseph K. Blitzstein, Jessica Hwang, 2014-07-24 Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment. |
| brown data science masters acceptance rate: Sustained Simulation Performance 2019 and 2020 Michael M. Resch, Manuela Wossough, Wolfgang Bez, Erich Focht, Hiroaki Kobayashi, 2021-03-01 This book presents the state of the art in High Performance Computing on modern supercomputer architectures. It addresses trends in hardware and software development in general. The contributions cover a broad range of topics, from performance evaluations in context with power efficiency to Computational Fluid Dynamics and High Performance Data Analytics. In addition, they explore new topics like the use of High Performance Computers in the field of Artificial Intelligence and Machine Learning. All contributions are based on selected papers presented at the 30th Workshop on Sustained Simulation Performance (WSSP) held at the High Performance Computing Center, University of Stuttgart, Germany in October 2019 and on the papers for the planned Workshop on Sustained Simulation Performance in March 2020, which could not take place due to the Covid-19 pandemic. |
| brown data science masters acceptance rate: Principles of Psychology Matt Jarvis, Paul Okami, 2020 Principles of Psychology: Contemporary Perspectives offers students a complete introduction to psychology. It balances contemporary approaches with classic perspectives, weaves stimulating conceptual issues throughout the text, and encourages students to think critically, creatively, and practically about the subject and how it applies to the real-world. It opens with an introduction to the study of psychology at undergraduate level and the positioning of psychology as a science (including coverage of some of its methods), before going on to look at the core domains of study typical in many European programmes and set out in the British Psychological Society guidelines. The carefully developed pedagogical scheme is focused on getting students to think critically about the subject and to engage with its methodological elements, and on demonstrating real-world relevance.Digital formats and resources Principles of Psychology: Contemporary Perspectives is supported by online resources and is available for students and institutions to purchase in a variety of formats.- The e-book is enhanced with embedded self-assessment activities and multi-media content, including animations, concept maps, and flashcards, to offer a fully immersive experience and extra learning support. www.oxfordtextbooks.co.uk/ebooks- The study tools that enhance the e-book, along with web links to guide further reading, are also available as stand-alone resources for use alongside the print book. Here, lecturers can access a Lecturer's Guide to the book, alongside downloadable PowerPoints, images, and Test Banks for use in their teaching. |
Brown University
Brown is a leading research university, home to world-renowned faculty and also an innovative educational institution where the curiosity, creativity and intellectual joy of students drives …
About Brown - Brown University
Founded in 1764, Brown is a leading nonprofit research university, home to world-renowned faculty, and also an innovative educational institution where the curiosity, creativity and …
Academics - Brown University
Brown offers more than 80 programs, what some colleges call majors. You'll sample courses in a wide range of subjects before immersing yourself in one of these focused areas.
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Brown is renowned for its distinctive undergraduate experience rooted in its flexible yet rigorous Open Curriculum. Our campus is also home to the Warren Alpert Medical School and a wide …
Undergraduate Admission | Brown University
At Brown, we invite you to develop your own personalized course of study. You’ll sample rigorous courses in a wide range of subjects before immersing yourself in one of 80+ academic …
Undergraduate Education - Brown University
Brown has earned a global reputation for its innovative undergraduate educational experience, rooted in its flexible yet academically rigorous Open Curriculum. Probe theoretical physics with …
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With innovative, student-centered academic training and a diverse and collaborative culture, Brown prepares graduate students to become leaders in their fields inside and outside of the …
Applying to Brown | Undergraduate Admission | Brown University
If you are drawn to Brown’s special blend of challenging academics and engaging culture, we strongly encourage you to apply. We look forward to getting to know you. Learn more about the …
MD 2025 Match List | The Warren Alpert Medical School of Brown …
The Warren Alpert Medical School of Brown University: Internal Medicine: Ty Agaisse: Rhode Island Hospital: The Warren Alpert Medical School of Brown University: Orthopedic Surgery: …
Schools and Colleges - Brown University
Brown has earned a global reputation for its innovative undergraduate educational experience, based in the College and rooted in its flexible yet academically rigorous Open Curriculum.
Brown University
Brown is a leading research university, home to world-renowned faculty and also an innovative educational institution where the curiosity, creativity and intellectual joy of students drives …
About Brown - Brown University
Founded in 1764, Brown is a leading nonprofit research university, home to world-renowned faculty, and also an innovative educational institution where the curiosity, creativity and …
Academics - Brown University
Brown offers more than 80 programs, what some colleges call majors. You'll sample courses in a wide range of subjects before immersing yourself in one of these focused areas.
Admission and Aid - Brown University
Brown is renowned for its distinctive undergraduate experience rooted in its flexible yet rigorous Open Curriculum. Our campus is also home to the Warren Alpert Medical School and a wide …
Undergraduate Admission | Brown University
At Brown, we invite you to develop your own personalized course of study. You’ll sample rigorous courses in a wide range of subjects before immersing yourself in one of 80+ academic …
Undergraduate Education - Brown University
Brown has earned a global reputation for its innovative undergraduate educational experience, rooted in its flexible yet academically rigorous Open Curriculum. Probe theoretical physics with …
Graduate and Professional | Brown University
With innovative, student-centered academic training and a diverse and collaborative culture, Brown prepares graduate students to become leaders in their fields inside and outside of the …
Applying to Brown | Undergraduate Admission | Brown University
If you are drawn to Brown’s special blend of challenging academics and engaging culture, we strongly encourage you to apply. We look forward to getting to know you. Learn more about …
MD 2025 Match List | The Warren Alpert Medical School of …
The Warren Alpert Medical School of Brown University: Internal Medicine: Ty Agaisse: Rhode Island Hospital: The Warren Alpert Medical School of Brown University: Orthopedic Surgery: …
Schools and Colleges - Brown University
Brown has earned a global reputation for its innovative undergraduate educational experience, based in the College and rooted in its flexible yet academically rigorous Open Curriculum.
