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| berkeley data science minor: 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. |
| berkeley data science minor: 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. |
| berkeley data science minor: A Decade of the Berkeley Math Circle Zvezdelina Stankova, Tom Rike, 2008-11-26 Many mathematicians have been drawn to mathematics through their experience with math circles: extracurricular programs exposing teenage students to advanced mathematical topics and a myriad of problem solving techniques and inspiring in them a lifelong love for mathematics. Founded in 1998, the Berkeley Math Circle (BMC) is a pioneering model of a U.S. math circle, aspiring to prepare our best young minds for their future roles as mathematics leaders. Over the last decade, 50 instructors--from university professors to high school teachers to business tycoons--have shared their passion for mathematics by delivering more than 320 BMC sessions full of mathematical challenges and wonders. Based on a dozen of these sessions, this book encompasses a wide variety of enticing mathematical topics: from inversion in the plane to circle geometry; from combinatorics to Rubik's cube and abstract algebra; from number theory to mass point theory; from complex numbers to game theory via invariants and monovariants. The treatments of these subjects encompass every significant method of proof and emphasize ways of thinking and reasoning via 100 problem solving techniques. Also featured are 300 problems, ranging from beginner to intermediate level, with occasional peaks of advanced problems and even some open questions. The book presents possible paths to studying mathematics and inevitably falling in love with it, via teaching two important skills: thinking creatively while still ``obeying the rules,'' and making connections between problems, ideas, and theories. The book encourages you to apply the newly acquired knowledge to problems and guides you along the way, but rarely gives you ready answers. ``Learning from our own mistakes'' often occurs through discussions of non-proofs and common problem solving pitfalls. The reader has to commit to mastering the new theories and techniques by ``getting your hands dirty'' with the problems, going back and reviewing necessary problem solving techniques and theory, and persistently moving forward in the book. The mathematical world is huge: you'll never know everything, but you'll learn where to find things, how to connect and use them. The rewards will be substantial. In the interest of fostering a greater awareness and appreciation of mathematics and its connections to other disciplines and everyday life, MSRI and the AMS are publishing books in the Mathematical Circles Library series as a service to young people, their parents and teachers, and the mathematics profession. |
| berkeley data science minor: The Charisma Machine Morgan G. Ames, 2019-11-19 A fascinating examination of technological utopianism and its complicated consequences. In The Charisma Machine, Morgan Ames chronicles the life and legacy of the One Laptop per Child project and explains why—despite its failures—the same utopian visions that inspired OLPC still motivate other projects trying to use technology to “disrupt” education and development. Announced in 2005 by MIT Media Lab cofounder Nicholas Negroponte, One Laptop per Child promised to transform the lives of children across the Global South with a small, sturdy, and cheap laptop computer, powered by a hand crank. In reality, the project fell short in many ways—starting with the hand crank, which never materialized. Yet the project remained charismatic to many who were captivated by its claims of access to educational opportunities previously out of reach. Behind its promises, OLPC, like many technology projects that make similarly grand claims, had a fundamentally flawed vision of who the computer was made for and what role technology should play in learning. Drawing on fifty years of history and a seven-month study of a model OLPC project in Paraguay, Ames reveals that the laptops were not only frustrating to use, easy to break, and hard to repair, they were designed for “technically precocious boys”—idealized younger versions of the developers themselves—rather than the children who were actually using them. The Charisma Machine offers a cautionary tale about the allure of technology hype and the problems that result when utopian dreams drive technology development. |
| berkeley data science minor: Video Games Have Always Been Queer Bo Ruberg, 2019-03-19 Argues for the queer potential of video games While popular discussions about queerness in video games often focus on big-name, mainstream games that feature LGBTQ characters, like Mass Effect or Dragon Age, Bonnie Ruberg pushes the concept of queerness in games beyond a matter of representation, exploring how video games can be played, interpreted, and designed queerly, whether or not they include overtly LGBTQ content. Video Games Have Always Been Queer argues that the medium of video games itself can—and should—be read queerly. In the first book dedicated to bridging game studies and queer theory, Ruberg resists the common, reductive narrative that games are only now becoming more diverse. Revealing what reading D. A. Miller can bring to the popular 2007 video game Portal, or what Eve Sedgwick offers Pong, Ruberg models the ways game worlds offer players the opportunity to explore queer experience, affect, and desire. As players attempt to 'pass' in Octodad or explore the pleasure of failure in Burnout: Revenge, Ruberg asserts that, even within a dominant gaming culture that has proved to be openly hostile to those perceived as different, queer people have always belonged in video games—because video games have, in fact, always been queer. |
| berkeley data science minor: Human-Centered Data Science Cecilia Aragon, Shion Guha, Marina Kogan, Michael Muller, Gina Neff, 2022-03-01 Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns. |
| berkeley data science minor: How to Be a High School Superstar Cal Newport, 2010-07-27 Do Less, Live More, Get Accepted What if getting into your reach schools didn’t require four years of excessive A.P. classes, overwhelming activity schedules, and constant stress? In How to Be a High School Superstar, Cal Newport explores the world of relaxed superstars—students who scored spots at the nation’s top colleges by leading uncluttered, low stress, and authentic lives. Drawing from extensive interviews and cutting-edge science, Newport explains the surprising truths behind these superstars’ mixture of happiness and admissions success, including: · Why doing less is the foundation for becoming more impressive. · Why demonstrating passion is meaningless, but being interesting is crucial. · Why accomplishments that are hard to explain are better than accomplishments that are hard to do. These insights are accompanied by step-by-step instructions to help any student adopt the relaxed superstar lifestyle—proving that getting into college doesn’t have to be a chore to survive, but instead can be the reward for living a genuinely interesting life. |
| berkeley data science minor: Open Sources Chris DiBona, Sam Ockman, 1999-01-03 Freely available source code, with contributions from thousands of programmers around the world: this is the spirit of the software revolution known as Open Source. Open Source has grabbed the computer industry's attention. Netscape has opened the source code to Mozilla; IBM supports Apache; major database vendors haved ported their products to Linux. As enterprises realize the power of the open-source development model, Open Source is becoming a viable mainstream alternative to commercial software.Now in Open Sources, leaders of Open Source come together for the first time to discuss the new vision of the software industry they have created. The essays in this volume offer insight into how the Open Source movement works, why it succeeds, and where it is going.For programmers who have labored on open-source projects, Open Sources is the new gospel: a powerful vision from the movement's spiritual leaders. For businesses integrating open-source software into their enterprise, Open Sources reveals the mysteries of how open development builds better software, and how businesses can leverage freely available software for a competitive business advantage.The contributors here have been the leaders in the open-source arena: Brian Behlendorf (Apache) Kirk McKusick (Berkeley Unix) Tim O'Reilly (Publisher, O'Reilly & Associates) Bruce Perens (Debian Project, Open Source Initiative) Tom Paquin and Jim Hamerly (mozilla.org, Netscape) Eric Raymond (Open Source Initiative) Richard Stallman (GNU, Free Software Foundation, Emacs) Michael Tiemann (Cygnus Solutions) Linus Torvalds (Linux) Paul Vixie (Bind) Larry Wall (Perl) This book explains why the majority of the Internet's servers use open- source technologies for everything from the operating system to Web serving and email. Key technology products developed with open-source software have overtaken and surpassed the commercial efforts of billion dollar companies like Microsoft and IBM to dominate software markets. Learn the inside story of what led Netscape to decide to release its source code using the open-source mode. Learn how Cygnus Solutions builds the world's best compilers by sharing the source code. Learn why venture capitalists are eagerly watching Red Hat Software, a company that gives its key product -- Linux -- away.For the first time in print, this book presents the story of the open- source phenomenon told by the people who created this movement.Open Sources will bring you into the world of free software and show you the revolution. |
| berkeley data science minor: Data Science in R Deborah Nolan, Duncan Temple Lang, 2015-04-21 Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and ComputationData Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts |
| berkeley data science minor: Diversifying the STEM Fields: From Individual to Structural Approaches Rodolfo Mendoza-Denton, Colette Patt, Adrienne R. Carter-Sowell, 2023-02-14 |
| berkeley data science minor: Minor Creatures Ivan Kreilkamp, 2018-11-07 In the nineteenth century, richly-drawn social fiction became one of England’s major cultural exports. At the same time, a surprising companion came to stand alongside the novel as a key embodiment of British identity: the domesticated pet. In works by authors from the Brontës to Eliot, from Dickens to Hardy, animals appeared as markers of domestic coziness and familial kindness. Yet for all their supposed significance, the animals in nineteenth-century fiction were never granted the same fullness of character or consciousness as their human masters: they remain secondary figures. Minor Creatures re-examines a slew of literary classics to show how Victorian notions of domesticity, sympathy, and individuality were shaped in response to the burgeoning pet class. The presence of beloved animals in the home led to a number of welfare-minded political movements, inspired in part by the Darwinian thought that began to sprout at the time. Nineteenth-century animals may not have been the heroes of their own lives but, as Kreilkamp shows, the history of domestic pets deeply influenced the history of the English novel. |
| berkeley data science minor: Accounting for Slavery Caitlin Rosenthal, 2019-10-15 A Five Books Best Economics Book of the Year A Politico Great Weekend Read “Absolutely compelling.” —Diane Coyle “The evolution of modern management is usually associated with good old-fashioned intelligence and ingenuity...But capitalism is not just about the free market; it was also built on the backs of slaves.” —Forbes The story of modern management generally looks to the factories of England and New England for its genesis. But after scouring through old accounting books, Caitlin Rosenthal discovered that Southern planter-capitalists practiced an early form of scientific management. They took meticulous notes, carefully recording daily profits and productivity, and subjected their slaves to experiments and incentive strategies comprised of rewards and brutal punishment. Challenging the traditional depiction of slavery as a barrier to innovation, Accounting for Slavery shows how elite planters turned their power over enslaved people into a productivity advantage. The result is a groundbreaking investigation of business practices in Southern and West Indian plantations and an essential contribution to our understanding of slavery’s relationship with capitalism. “Slavery in the United States was a business. A morally reprehensible—and very profitable business...Rosenthal argues that slaveholders...were using advanced management and accounting techniques long before their northern counterparts. Techniques that are still used by businesses today.” —Marketplace “Rosenthal pored over hundreds of account books from U.S. and West Indian plantations...She found that their owners employed advanced accounting and management tools, including depreciation and standardized efficiency metrics.” —Harvard Business Review |
| berkeley data science minor: Risk Terrain Modeling Joel M. Caplan, Leslie W. Kennedy, 2016-06-28 Imagine using an evidence-based risk management model that enables researchers and practitioners alike to analyze the spatial dynamics of crime, allocate resources, and implement custom crime and risk reduction strategies that are transparent, measurable, and effective. Risk Terrain Modeling (RTM) diagnoses the spatial attractors of criminal behavior and makes accurate forecasts of where crime will occur at the microlevel. RTM informs decisions about how the combined factors that contribute to criminal behavior can be targeted, connections to crime can be monitored, spatial vulnerabilities can be assessed, and actions can be taken to reduce worst effects. As a diagnostic method, RTM offers a statistically valid way to identify vulnerable places. To learn more, visit http://www.riskterrainmodeling.com and begin using RTM with the many free tutorials and resources. |
| berkeley data science minor: Resilient Urban Futures Zoé A. Hamstead, David M. Iwaniec, Timon McPhearson, Marta Berbés-Blázquez, Elizabeth M. Cook, Tischa A. Muñoz-Erickson, 2021-04-06 This open access book addresses the way in which urban and urbanizing regions profoundly impact and are impacted by climate change. The editors and authors show why cities must wage simultaneous battles to curb global climate change trends while adapting and transforming to address local climate impacts. This book addresses how cities develop anticipatory and long-range planning capacities for more resilient futures, earnest collaboration across disciplines, and radical reconfigurations of the power regimes that have institutionalized the disenfranchisement of minority groups. Although planning processes consider visions for the future, the editors highlight a more ambitious long-term positive visioning approach that accounts for unpredictability, system dynamics and equity in decision-making. This volume brings the science of urban transformation together with practices of professionals who govern and manage our social, ecological and technological systems to design processes by which cities may achieve resilient urban futures in the face of climate change. |
| berkeley data science minor: Reinventing the Social Scientist and Humanist in the Era of Big Data Susan Brokensha, Eduan Kotzé, Burgert A. Senekal, 2019-12-01 This book explores the big data evolution by interrogating the notion that big data is a disruptive innovation that appears to be challenging existing epistemologies in the humanities and social sciences. Exploring various (controversial) facets of big data such as ethics, data power, and data justice, the book attempts to clarify the trajectory of the epistemology of (big) data-driven science in the humanities and social sciences. |
| berkeley data science minor: Good Enough for Government Work Amy E. Lerman, 2019-06-14 American government is in the midst of a reputation crisis. An overwhelming majority of citizens—Republicans and Democrats alike—hold negative perceptions of the government and believe it is wasteful, inefficient, and doing a generally poor job managing public programs and providing public services. When social problems arise, Americans are therefore skeptical that the government has the ability to respond effectively. It’s a serious problem, argues Amy E. Lerman, and it will not be a simple one to fix. With Good Enough for Government Work, Lerman uses surveys, experiments, and public opinion data to argue persuasively that the reputation of government is itself an impediment to government’s ability to achieve the common good. In addition to improving its efficiency and effectiveness, government therefore has an equally critical task: countering the belief that the public sector is mired in incompetence. Lerman takes readers through the main challenges. Negative perceptions are highly resistant to change, she shows, because we tend to perceive the world in a way that confirms our negative stereotypes of government—even in the face of new information. Those who hold particularly negative perceptions also begin to “opt out” in favor of private alternatives, such as sending their children to private schools, living in gated communities, and refusing to participate in public health insurance programs. When sufficient numbers of people opt out of public services, the result can be a decline in the objective quality of public provision. In this way, citizens’ beliefs about government can quickly become a self-fulfilling prophecy, with consequences for all. Lerman concludes with practical solutions for how the government might improve its reputation and roll back current efforts to eliminate or privatize even some of the most critical public services. |
| berkeley data science minor: Search User Interfaces Marti A. Hearst, 2009-09-21 The truly world-wide reach of the Web has brought with it a new realisation of the enormous importance of usability and user interface design. In the last ten years, much has become understood about what works in search interfaces from a usability perspective, and what does not. Researchers and practitioners have developed a wide range of innovative interface ideas, but only the most broadly acceptable make their way into major web search engines. This book summarizes these developments, presenting the state of the art of search interface design, both in academic research and in deployment in commercial systems. Many books describe the algorithms behind search engines and information retrieval systems, but the unique focus of this book is specifically on the user interface. It will be welcomed by industry professionals who design systems that use search interfaces as well as graduate students and academic researchers who investigate information systems. |
| berkeley data science minor: The Philosophical Baby Alison Gopnik, 2009-08-04 A leading psychologist and philosopher, as well as a mother, explains the groundbreaking new psychological, neuroscientific, and philosophical developments as they relate to the development of very young children. |
| berkeley data science minor: Why We Sleep Matthew Walker, 2017-10-03 Sleep is one of the most important but least understood aspects of our life, wellness, and longevity ... An explosion of scientific discoveries in the last twenty years has shed new light on this fundamental aspect of our lives. Now ... neuroscientist and sleep expert Matthew Walker gives us a new understanding of the vital importance of sleep and dreaming--Amazon.com. |
| berkeley data science minor: ADHD Stephen P. Hinshaw, Katherine Ellison, 2016 Rates of diagnosis of attention-deficit/hyperactivity disorder (ADHD) are skyrocketing, throughout America and the rest of the world. U.S. rates of youth diagnosis have increased 40% from just a decade ago. Adults with ADHD are now the fastest-growing segment of the population receiving diagnosis and medication. The disorder is painful and sometimes disabling for individuals and tremendously costly for society; yet, widespread misinformation, skepticism, and unanswered questions have jeopardized effective diagnosis and treatment. Researched and written by Stephen Hinshaw, an international expert on ADHD, and Katherine Ellison, a Pulitzer-Prize winning journalist and author, ADHD: What Everyone Needs to Know® is the go-to book for authoritative, current, accurate, and compelling information about the global ADHD epidemic. This book addresses questions such as: · Is ADHD a genuine medical condition or a means of pathologizing active and exploratory behavior? · Do medications for ADHD serve as needed treatments, or are they attempts at social control, designed to bolster profits of pharmaceutical firms? · Has the ADHD label become a ruse by which parents can game the educational system for accommodations? · How do symptoms and impairments related to ADHD differ between girls and women and boys and men? · Why are ADHD medications often used as performance enhancers by college and high-school students? ADHD: What Everyone Needs to Know® clears the air of the most polarizing and misleading information that abounds, providing straight talk and sound guidelines for educators, policymakers, health professionals, parents, and the general public. It shows the reality of ADHD but does not ignore the forces that have pushed up rates of diagnosis to alarmingly high levels. |
| berkeley data science minor: Roundtable on Data Science Postsecondary Education National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Division on Engineering and Physical Sciences, Board on Science Education, Computer Science and Telecommunications Board, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, 2020-09-02 Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and government gathered with other experts from across the nation to discuss various topics under this charge. The meetings centered on four central themes: foundations of data science; data science across the postsecondary curriculum; data science across society; and ethics and data science. This publication highlights the presentations and discussions of each meeting. |
| berkeley data science minor: Mathematical Thinking and Problem Solving Alan H. Schoenfeld, Alan H. Sloane, 2016-05-06 In the early 1980s there was virtually no serious communication among the various groups that contribute to mathematics education -- mathematicians, mathematics educators, classroom teachers, and cognitive scientists. Members of these groups came from different traditions, had different perspectives, and rarely gathered in the same place to discuss issues of common interest. Part of the problem was that there was no common ground for the discussions -- given the disparate traditions and perspectives. As one way of addressing this problem, the Sloan Foundation funded two conferences in the mid-1980s, bringing together members of the different communities in a ground clearing effort, designed to establish a base for communication. In those conferences, interdisciplinary teams reviewed major topic areas and put together distillations of what was known about them.* A more recent conference -- upon which this volume is based -- offered a forum in which various people involved in education reform would present their work, and members of the broad communities gathered would comment on it. The focus was primarily on college mathematics, informed by developments in K-12 mathematics. The main issues of the conference were mathematical thinking and problem solving. |
| berkeley data science minor: Data Science Careers, Training, and Hiring Renata Rawlings-Goss, 2019-08-02 This book is an information packed overview of how to structure a data science career, a data science degree program, and how to hire a data science team, including resources and insights from the authors experience with national and international large-scale data projects as well as industry, academic and government partnerships, education, and workforce. Outlined here are tips and insights into navigating the data ecosystem as it currently stands, including career skills, current training programs, as well as practical hiring help and resources. Also, threaded through the book is the outline of a data ecosystem, as it could ultimately emerge, and how career seekers, training programs, and hiring managers can steer their careers, degree programs, and organizations to align with the broader future of data science. Instead of riding the current wave, the author ultimately seeks to help professionals, programs, and organizations alike prepare a sustainable plan for growth in this ever-changing world of data. The book is divided into three sections, the first “Building Data Careers”, is from the perspective of a potential career seeker interested in a career in data, the second “Building Data Programs” is from the perspective of a newly forming data science degree or training program, and the third “Building Data Talent and Workforce” is from the perspective of a Data and Analytics Hiring Manager. Each is a detailed introduction to the topic with practical steps and professional recommendations. The reason for presenting the book from different points of view is that, in the fast-paced data landscape, it is helpful to each group to more thoroughly understand the desires and challenges of the other. It will, for example, help the career seekers to understand best practices for hiring managers to better position themselves for jobs. It will be invaluable for data training programs to gain the perspective of career seekers, who they want to help and attract as students. Also, hiring managers will not only need data talent to hire, but workforce pipelines that can only come from partnerships with universities, data training programs, and educational experts. The interplay gives a broader perspective from which to build. |
| berkeley data science minor: Creole Son E. Kay Trimberger, 2020-04-01 Creole Son is the compelling memoir of a single white mother searching to understand why her adopted biracial son grew from a happy child into a troubled young adult who struggled with addiction for decades. The answers, E. Kay Trimberger finds, lie in both nature and nurture. When five-day-old Marco is flown from Louisiana to California and placed in Trimberger’s arms, she assumes her values and example will be the determining influences upon her new son’s life. Twenty-six years later, when she helps him make contact with his Cajun and Creole biological relatives, she discovers that many of his cognitive and psychological strengths and difficulties mirror theirs. Using her training as a sociologist, Trimberger explores behavioral genetics research on adoptive families. To her relief as well as distress, she learns that both biological heritage and the environment—and their interaction—shape adult outcomes. Trimberger shares deeply personal reflections about raising Marco in Berkeley in the 1980s and 1990s, with its easy access to drugs and a culture that condoned their use. She examines her own ignorance about substance abuse, and also a failed experiment in an alternative family lifestyle. In an afterword, Marc Trimberger contributes his perspective, noting a better understanding of his life journey gained through his mother’s research. By telling her story, Trimberger provides knowledge and support to all parents—biological and adoptive—with troubled offspring. She ends by suggesting a new adoption model, one that creates an extended, integrated family of both biological and adoptive kin. |
| berkeley data science minor: Principles of Data Science Hamid R. Arabnia, Kevin Daimi, Robert Stahlbock, Cristina Soviany, Leonard Heilig, Kai Brüssau, 2020-07-08 This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data science tools, deep learning, and various data science applications. Researchers can extract and conclude various future ideas and topics that could result in potential publications or thesis. Furthermore, this book contributes to Data Scientists’ preparation and to enhancing their knowledge of the field. The book provides a rich collection of manuscripts in highly regarded data science topics, edited by professors with long experience in the field of data science. Introduces various techniques, methods, and algorithms adopted by Data Science experts Provides a detailed explanation of data science perceptions, reinforced by practical examples Presents a road map of future trends suitable for innovative data science research and practice |
| berkeley data science minor: The Digital City M. Laguerre, 2005-08-02 Evolving out of a research project on information technology and society, the book explores the digitization of the American city. Laguerre examines the impact of changes to various sectors of society, brought about by the advent of information technology and the Internet upon daily life in the contemporary American metropolis. The book focuses on actual information technology practices in the Silicon Valley/San Francisco metropolitan area, explaining how those practices are remoulding social relations, global interaction and the workplace environment. |
| berkeley data science minor: City of Walls Teresa P. R. Caldeira, 2000 This is an extraordinary treatment of a difficult problem. . . . Much more than a conventional comparative study, City of Walls is a genuinely transcultural, transnational work—the first of its kind that I have read.—George E. Marcus, author of Ethnography Through Thick & Thin Caldeira's work is wonderfully ambitious-theoretically bold, ethnographically rich, historically specific. Anyone who cares about the condition and future of cities, of democracy, of human rights should read this book.—Thomas Bender, Director of the Project on Cities and Urban Knowledges City of Walls is a brilliant analysis of the dynamics of urban fear. The sophistication of Caldeira's arguments should stimulate new discussion of cities and urban life. Its significance goes far beyond the borders of Brazil.—Margaret Crawford, Professor of Urban Planning and Design Theory, Graduate School of Design, Harvard University Caldeira's insight illuminates the geography of the city as well as the boundaries—or the lack of boundaries—of violence.—Paul Chevigny, author of Edge of the Knife: Police Violence in the Americas An extraordinary account of violence in the city. . . . Caldeira brings to this task a rare depth of knowledge and understanding.—Saskia Sassen, author of Globalization and Its Discontents An outstanding contribution to understanding authoritarian continuity under political reform. Caldeira has written a brilliant and bleak analysis on the many challenges and obstacles which government and civil society face in new democracies.—Paulo Sérgio Pinheiro, Director of the Center for the Study of Violence, University of São Paulo and Member of the United Nations Sub-Commission for the Promotion and Protection of Human Rights |
| berkeley data science minor: Rethinking Architecture Raymond Lifchez, 2023-04-28 This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1987. |
| berkeley data science minor: Targeted Learning Mark J. van der Laan, Sherri Rose, 2011-06-17 The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever; data sets are massive, often measuring hundreds of thousands of measurements for a single subject. The field is ready to move towards clear objective benchmarks under which tools can be evaluated. Targeted learning allows (1) the full generalization and utilization of cross-validation as an estimator selection tool so that the subjective choices made by humans are now made by the machine, and (2) targeting the fitting of the probability distribution of the data toward the target parameter representing the scientific question of interest. This book is aimed at both statisticians and applied researchers interested in causal inference and general effect estimation for observational and experimental data. Part I is an accessible introduction to super learning and the targeted maximum likelihood estimator, including related concepts necessary to understand and apply these methods. Parts II-IX handle complex data structures and topics applied researchers will immediately recognize from their own research, including time-to-event outcomes, direct and indirect effects, positivity violations, case-control studies, censored data, longitudinal data, and genomic studies. |
| berkeley data science minor: Berkeley Hal Draper, 2020-07-07 There's a time when the operation of the machine becomes so odious, makes you so sick at heart, that you can't take part! You can't even passively take part! And you've got to put your bodies upon the gears and upon the wheels ... upon the levers, upon all the apparatus, and you've got to make it stop! These fiery words of protest, spoken by Mario Savio during the Berkeley Free Speech Movement, became a call to action that helped galvanize an entire generation of radicals during the 1960s. Led by student politicized through the fight for Civil Rights, the movement would reshape the American left and influence a generation of protesters across the globe. In this rousing and insightful participant's account, Hal Draper recounts the now iconic events of the FSM. From the impromptu speak out atop a police car after the administration decided to clamp down on students distributing communist literature, to the inspiring Student Strike that shut down the entire campus, Draper's narrative captures the energy and dynamism of each twist and turn in the struggle, and offers invaluable analysis along the way. Brimming with lessons still relevant for today's activists, Berkeley: The New Student Rebellion is a classic of on-the-ground historical reportage. |
| berkeley data science minor: Black Europe and the African Diaspora Darlene Clark Hine, Trica Danielle Keaton, Stephen Small, 2009 Multifaceted analyses of the African diaspora in Europe |
| berkeley data science minor: The Scientist in the Crib Alison Gopnik, Andrew N. Meltzoff, Patricia Katherine Kuhl, 1999 A review of research on learning and infancy, drawn from hundreds of case studies, shows how children by the age of three are virtual learning machines and discusses how parents can help this learning process. |
| berkeley data science minor: Keywords Raymond Williams, 2014 First published in 1976, Raymond Williams' highly acclaimed Keywords: A Vocabulary of Culture and Society is a collection of lively essays on words that are critical to understanding the modern world. In these essays, Williams, a renowned cultural critic, demonstrates how these key words take on new meanings and how these changes reflect the political bent and values of our past and current society. He chose words both essential and intangible--words like nature, underprivileged, industry, liberal, violence, to name a few--and, by tracing their etymology and evolution, grounds them in a wider political and cultural framework. The result is an illuminating account of the central vocabulary of ideological debate in English in the modern period. This edition features a new original foreword by Colin MacCabe, Distinguished Professor of English and Literature, University of Pittsburgh, that reflects on the significance of Williams' life and work. Keywords remains as relevant today as it was over thirty years ago, offering a provocative study of our language and an insightful look at the society in which we live. |
| berkeley data science minor: The ADHD Explosion and Today's Push for Performance Stephen P. Hinshaw, Richard M. Scheffler, 2014-04 Debunks myths and misconceptions about ADHD, and discusses the controversies surrounding skyrocketing rates of diagnosis and medication treatment as well as the condition's cost to society. |
| berkeley data science minor: Do Zombies Dream of Undead Sheep? Timothy Verstynen, Bradley Voytek, 2016-10-04 A look at the true nature of the zombie brain Even if you've never seen a zombie movie or television show, you could identify an undead ghoul if you saw one. With their endless wandering, lumbering gait, insatiable hunger, antisocial behavior, and apparently memory-less existence, zombies are the walking nightmares of our deepest fears. What do these characteristic behaviors reveal about the inner workings of the zombie mind? Could we diagnose zombism as a neurological condition by studying their behavior? In Do Zombies Dream of Undead Sheep?, neuroscientists and zombie enthusiasts Timothy Verstynen and Bradley Voytek apply their neuro-know-how to dissect the puzzle of what has happened to the zombie brain to make the undead act differently than their human prey. Combining tongue-in-cheek analysis with modern neuroscientific principles, Verstynen and Voytek show how zombism can be understood in terms of current knowledge regarding how the brain works. In each chapter, the authors draw on zombie popular culture and identify a characteristic zombie behavior that can be explained using neuroanatomy, neurophysiology, and brain-behavior relationships. Through this exploration they shed light on fundamental neuroscientific questions such as: How does the brain function during sleeping and waking? What neural systems control movement? What is the nature of sensory perception? Walking an ingenious line between seriousness and satire, Do Zombies Dream of Undead Sheep? leverages the popularity of zombie culture in order to give readers a solid foundation in neuroscience. |
| berkeley data science minor: Machine Learning and AI for Healthcare Arjun Panesar, 2019-02-04 Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll LearnGain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agentsWho This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings. |
| berkeley data science minor: Black Intellectual Thought in Modern America Brian D. Behnken, Gregory D. Smithers, Simon Wendt, 2017-09-07 Contributions by Tunde Adeleke, Brian D. Behnken, Minkah Makalani, Benita Roth, Gregory D. Smithers, Simon Wendt, and Danielle L. Wiggins Black intellectualism has been misunderstood by the American public and by scholars for generations. Historically maligned by their peers and by the lay public as inauthentic or illegitimate, black intellectuals have found their work misused, ignored, or discarded. Black intellectuals have also been reductively placed into one or two main categories: they are usually deemed liberal or, less frequently, as conservative. The contributors to this volume explore several prominent intellectuals, from left-leaning leaders such as W. E. B. Du Bois to conservative intellectuals like Thomas Sowell, from well-known black feminists such as Patricia Hill Collins to Marxists like Claudia Jones, to underscore the variety of black intellectual thought in the United States. Contributors also situate the development of the lines of black intellectual thought within the broader history from which these trends emerged. The result gathers essays that offer entry into a host of rich intellectual traditions. |
| berkeley data science minor: Restricted Data Alex Wellerstein, 2021-04-09 Nuclear weapons, since their conception, have been the subject of secrecy. In the months after the dropping of the atomic bombs on Hiroshima and Nagasaki, the American scientific establishment, the American government, and the American public all wrestled with what was called the problem of secrecy, wondering not only whether secrecy was appropriate and effective as a means of controlling this new technology but also whether it was compatible with the country's core values. Out of a messy context of propaganda, confusion, spy scares, and the grave counsel of competing groups of scientists, what historian Alex Wellerstein calls a new regime of secrecy was put into place. It was unlike any other previous or since. Nuclear secrets were given their own unique legal designation in American law (restricted data), one that operates differently than all other forms of national security classification and exists to this day. Drawing on massive amounts of declassified files, including records released by the government for the first time at the author's request, Restricted Data is a narrative account of nuclear secrecy and the tensions and uncertainty that built as the Cold War continued. In the US, both science and democracy are pitted against nuclear secrecy, and this makes its history uniquely compelling and timely-- |
| berkeley data science minor: Data Structures and Algorithm Analysis in Java, Third Edition Clifford A. Shaffer, 2012-09-06 Comprehensive treatment focuses on creation of efficient data structures and algorithms and selection or design of data structure best suited to specific problems. This edition uses Java as the programming language. |
| berkeley data science minor: Africanizing Oncology Marissa Mika, 2022-10-18 An innovative contemporary history that blends insights from a variety of disciplines to highlight how a storied African cancer institute has shaped lives and identities in postcolonial Uganda. Over the past decade, an increasingly visible crisis of cancer in Uganda has made local and international headlines. Based on transcontinental research and public engagement with the Uganda Cancer Institute that began in 2010, Africanizing Oncology frames the cancer hospital as a microcosm of the Ugandan state, as a space where one can trace the lived experiences of Ugandans in the twentieth century. Ongoing ethnographic fieldwork, patient records, oral histories, private papers from US oncologists, American National Cancer Institute records, British colonial office reports, and even the architecture of the institute itself show how Ugandans understood and continue to shape ideas about national identity, political violence, epidemics, and economic life. Africanizing Oncology describes the political, social, technological, and biomedical dimensions of how Ugandans created, sustained, and transformed this institute over the past half century. With insights from science and technology studies and contemporary African history, Marissa Mika’s work joins a new wave of contemporary histories of the political, technological, moral, and intellectual aspirations and actions of Africans after independence. It contributes to a growing body of work on chronic disease and situates the contemporary urgency of the mounting cancer crisis on the continent in a longer history of global cancer research and care. With its creative integration of African studies, science and technology studies, and medical anthropology, Africanizing Oncology speaks to multiple scholarly communities. |
The Data Science Major degree program combines computational and the ...
The Minor in Data Science at UC Berkeley aims to provide students with practical knowledge of the methods and techniques of data analysis, as well as the ability to think critically about … See more
Data Sciences @ Berkeley The Undergraduate Experience
Likewise building on this foundation, intensive treatment of data science is rooted in a novel one-year upper-division core, which provides a gateway into both a broadly useful minor, which can …
Berkeley’s Undergraduate Data Science Curriculum: Year 1 …
minor programs of study in Data Science, which can be expected to be available to students once they are approved by the Academic Senate. This report provides a pedagogically oriented …
Curriculum Guidelines for Undergraduate Programs in Data …
Data Science is experiencing rapid and unplanned growth, spurred by the proliferation of complex and rich data in science, industry and government. Fueled in part by reports such as the widely …
DATA SCIENCE - University of California, Berkeley
Apr 24, 2024 · The Division offers a major and minor in Data Science, as well as coursework such as Data 8: Foundations of Data Science, its connector courses, and Data Science modules …
Data Science Undergraduate Studies - University of California, …
The data science minor (https://data.berkeley.edu/academics/data-science-undergraduate-studies/data-science-minor/) features a flexible design to serve students from a range of majors.
Interleaving Computational and Inferential Thinking: Data …
The undergraduate data science curriculum at the University of California, Berkeley is an-chored in five new courses that emphasize computational thinking, inferential thinking, and the …
Data Science Minor Berkeley - archive.ncarb.org
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 …
MAJORS & MINORS - Office of Undergraduate Admissions
EMajors marked with a triangle are part of the Transfer Direct-Admit Pilot program. See link below to learn more. Business Administration: two-year program for juniors and seniors; freshman …
Science, Technology, and Society - University of California, …
The Undergraduate Minor in Science, Technology and Society (STS) brings Berkeley undergraduates to the forefront of understanding the global impact of science, technology and …
A minor in Computer Science is available to all undergraduate …
Be admitted to the Computer Science (CS) major in the College of Computing, Data Science, and Society (CDSS) as a first year or junior transfer. Admission to the CS major in the College of …
Data Science Minor Berkeley (PDF) - archive.ncarb.org
skills required to distill a messy pile of data into actionable insights We call this the data science lifecycle the process of collecting wrangling analyzing and drawing conclusions from data …
SSttaattiissttiiccss UUnnddeerrggrraadduuaattee MMiinnoorr
Students who want to study a significant amount of Statistics and Probability at the upper division level can complete a minor in Statistics. The minor will provide them with formal recognition for …
Berkeley Data Science Minor - tembo.inrete.it
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 …
College of Computing, Data Science, and Society
Explore majors and minors available through the College of Computing, Data Science, and Society. All students who will enter the University of California as freshmen must demonstrate …
Uc Berkeley Data Science Minor - admin.sccr.gov.ng
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 …
UC Berkeley Engineering undergraduate brochure
** Undergraduate programs in computer science are run through the Department of Electrical Engineering and Computer Sciences, shared by the College of Engineering and the College of …
Minor Requirements 10-09 - University of California, Berkeley
OVERVIEW of the Minor Statisticians help to design data collection plans, analyze data appropriately and interpret and draw conclusions from those analyses. Students who want to …
Geospatial Information Science and Technology Minor
The Geospatial Information Science and Technology Minor is available to any current UC Berkeley student in good academic standing. The deadline to complete this minor program is …
Statistics - University of California, Berkeley
The minor is for students who want to study a significant amount of statistics and probability at the upper division level. For information regarding the requirements, please see the Minor …
The Data Science Major degree program combines …
The Minor in Data Science at UC Berkeley aims to provide students with practical knowledge of the methods and techniques of data analysis, as well as the ability to think critically about the …
Data Sciences @ Berkeley The Undergraduate Experience
Likewise building on this foundation, intensive treatment of data science is rooted in a novel one-year upper-division core, which provides a gateway into both a broadly useful minor, which …
Berkeley’s Undergraduate Data Science Curriculum: Year 1 …
minor programs of study in Data Science, which can be expected to be available to students once they are approved by the Academic Senate. This report provides a pedagogically oriented …
Curriculum Guidelines for Undergraduate Programs in …
Data Science is experiencing rapid and unplanned growth, spurred by the proliferation of complex and rich data in science, industry and government. Fueled in part by reports such as the …
DATA SCIENCE - University of California, Berkeley
Apr 24, 2024 · The Division offers a major and minor in Data Science, as well as coursework such as Data 8: Foundations of Data Science, its connector courses, and Data Science modules …
Data Science Undergraduate Studies - University of California, Berkeley
The data science minor (https://data.berkeley.edu/academics/data-science-undergraduate-studies/data-science-minor/) features a flexible design to serve students from a range of majors.
Interleaving Computational and Inferential Thinking: Data …
The undergraduate data science curriculum at the University of California, Berkeley is an-chored in five new courses that emphasize computational thinking, inferential thinking, and the …
Data Science Minor Berkeley - archive.ncarb.org
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 …
MAJORS & MINORS - Office of Undergraduate Admissions
EMajors marked with a triangle are part of the Transfer Direct-Admit Pilot program. See link below to learn more. Business Administration: two-year program for juniors and seniors; freshman …
Science, Technology, and Society - University of California, …
The Undergraduate Minor in Science, Technology and Society (STS) brings Berkeley undergraduates to the forefront of understanding the global impact of science, technology and …
A minor in Computer Science is available to all …
Be admitted to the Computer Science (CS) major in the College of Computing, Data Science, and Society (CDSS) as a first year or junior transfer. Admission to the CS major in the College of …
Data Science Minor Berkeley (PDF) - archive.ncarb.org
skills required to distill a messy pile of data into actionable insights We call this the data science lifecycle the process of collecting wrangling analyzing and drawing conclusions from data …
SSttaattiissttiiccss UUnnddeerrggrraadduuaattee …
Students who want to study a significant amount of Statistics and Probability at the upper division level can complete a minor in Statistics. The minor will provide them with formal recognition for …
Berkeley Data Science Minor - tembo.inrete.it
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 …
College of Computing, Data Science, and Society
Explore majors and minors available through the College of Computing, Data Science, and Society. All students who will enter the University of California as freshmen must demonstrate …
Uc Berkeley Data Science Minor - admin.sccr.gov.ng
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 …
UC Berkeley Engineering undergraduate brochure
** Undergraduate programs in computer science are run through the Department of Electrical Engineering and Computer Sciences, shared by the College of Engineering and the College of …
Minor Requirements 10-09 - University of California, Berkeley
OVERVIEW of the Minor Statisticians help to design data collection plans, analyze data appropriately and interpret and draw conclusions from those analyses. Students who want to …
Geospatial Information Science and Technology Minor
The Geospatial Information Science and Technology Minor is available to any current UC Berkeley student in good academic standing. The deadline to complete this minor program is …
Statistics - University of California, Berkeley
The minor is for students who want to study a significant amount of statistics and probability at the upper division level. For information regarding the requirements, please see the Minor …
