Cu Boulder Computer Science Ranking



  cu boulder computer science ranking: Is the Best Good Enough? Pilar Barbosa, 1998 These include new versions of an old debate between constraints on derivations and constraints on representations and entirely new questions about the nature of the candidate set, as well as questions about learnability and computability.
  cu boulder computer science ranking: Optimality Theory Rene Kager, 1999-06-28 This is an introduction to Optimality Theory, whose central idea is that surface forms of language reflect resolutions of conflicts between competing constraints. A surface form is 'optimal' if it incurs the least serious violations of a set of constraints, taking into account their hierarchical ranking. Languages differ in the ranking of constraints; and any violations must be minimal. The book does not limit its empirical scope to phonological phenomena, but also contains chapters on the learnability of OT grammars; OT's implications for syntax; and other issues such as opacity. It also reviews in detail a selection of the considerable research output which OT has already produced. Exercises accompany chapters 1-7, and there are sections on further reading. Optimality Theory will be welcomed by any linguist with a basic knowledge of derivational Generative Phonology.
  cu boulder computer science ranking: Learnability in Optimality Theory Bruce Tesar, Paul Smolensky, 2000-05-08 Highlighting the close relationship between linguistic explanation and learnability, Bruce Tesar and Paul Smolensky examine the implications of Optimality Theory (OT) for language learnability. Highlighting the close relationship between linguistic explanation and learnability, Bruce Tesar and Paul Smolensky examine the implications of Optimality Theory (OT) for language learnability. They show how the core principles of OT lead to the learning principle of constraint demotion, the basis for a family of algorithms that infer constraint rankings from linguistic forms. Of primary concern to the authors are the ambiguity of the data received by the learner and the resulting interdependence of the core grammar and the structural analysis of overt linguistic forms. The authors argue that iterative approaches to interdependencies, inspired by work in statistical learning theory, can be successfully adapted to address the interdependencies of language learning. Both OT and Constraint Demotion play critical roles in their adaptation. The authors support their findings both formally and through simulations. They also illustrate how their approach could be extended to other language learning issues, including subset relations and the learning of phonological underlying forms.
  cu boulder computer science ranking: Research and Advanced Technology for Digital Libraries Carol Peters, 1997-08-22 This book constitutes the refereed proceedings of the First European Conference on Research and Advanced Technology for Digital Libraries held in Pisa, Italy, in September 1997. The volume presents 23 revised full papers selected from 77 submissions. Also included are two invited contributions. The papers are organized in topical sections on supporting user interfaces, metadata, information retrieval, DL architectures, multilingual information retrieval, structured documents, and case studies.
  cu boulder computer science ranking: Statistical Rethinking Richard McElreath, 2018-01-03 Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.
  cu boulder computer science ranking: Phonological Explorations Bert Botma, Roland Noske, 2012-10-30 The 16 papers contained in this volume address a variety of phonological topics from different theoretical perspectives. Combined, they provide an excellent showcase for the diversity of the field. Topics considered include the place of allomorphy in grammar; Dutch clippings; the status of recursion in phonology; the role of contrast preservation in the Grimm-Verner push chain; the phonological specification of Dutch ‘tense’ and ‘lax’ monophthongs; the distribution of English vowels in a Strict CV framework; a dependency-based analysis of Germanic vowel shifts; a Radical CV Phonology approach to vowel harmony; emergentist vs. universalist perspectives on frequency effects in vowel harmony; the representation of Limburgian tonal accents; durational enhancement in Maastricht Limburguish high vowels; constraint conjunction in Mandarin Chinese; lexical tone association in Harmonic Serialism; a constraint-based account of the McGurk effect; a case study of the acquisition of liquids in early L1 Dutch; and the learnability of segmentation in Tibetan numerals.
  cu boulder computer science ranking: Talking about Leaving Revisited Elaine Seymour, Anne-Barrie Hunter, 2019-12-10 ​Talking about Leaving Revisited discusses findings from a five-year study that explores the extent, nature, and contributory causes of field-switching both from and among “STEM” majors, and what enables persistence to graduation. The book reflects on what has and has not changed since publication of Talking about Leaving: Why Undergraduates Leave the Sciences (Elaine Seymour & Nancy M. Hewitt, Westview Press, 1997). With the editors’ guidance, the authors of each chapter collaborate to address key questions, drawing on findings from each related study source: national and institutional data, interviews with faculty and students, structured observations and student assessments of teaching methods in STEM gateway courses. Pitched to a wide audience, engaging in style, and richly illustrated in the interviewees’ own words, this book affords the most comprehensive explanatory account to date of persistence, relocation and loss in undergraduate sciences. Comprehensively addresses the causes of loss from undergraduate STEM majors—an issue of ongoing national concern. Presents critical research relevant for nationwide STEM education reform efforts. Explores the reasons why talented undergraduates abandon STEM majors. Dispels popular causal myths about why students choose to leave STEM majors. This volume is based upon work supported by the Alfred P. Sloan Foundation Award No. 2012-6-05 and the National Science Foundation Award No. DUE 1224637.
  cu boulder computer science ranking: Optimality Theory in Phonology John J. McCarthy, 2008-04-15 Optimality Theory in Phonology: A Reader is a collection of readings on this important new theory by leading figures in the field, including a lengthy excerpt from Prince and Smolensky’s never-before-published Optimality Theory: Constraint Interaction in Generative Grammar. Compiles the most important readings about Optimality Theory in phonology from some of the most prominent researchers in the field. Contains 33 excerpts spanning a range of topics in phonology and including many never-before-published papers. Includes a lengthy excerpt from Prince and Smolensky’s foundational 1993 manuscript Optimality Theory: Constraint Interaction in Generative Grammar. Includes introductory notes and study/research questions for each chapter.
  cu boulder computer science ranking: The Oxford History of Phonology B. Elan Dresher, Harry van der Hulst, 2022 This volume is the first to provide an up-to-date and comprehensive history of phonology from the earliest known examples of phonological thinking, through the rise of phonology as a field in the twentieth century, and up to the most recent advances. The volume is divided into five parts. Part I offers an account of writing systems along with chapters exploring the great ancient and medieval intellectual traditions of phonological thought that form the foundation of later thinking and continue to enrich phonological theory. Chapters in Part II describe the important schools and individuals of the late nineteenth and early twentieth centuries who shaped phonology as an organized scientific field. Part III examines mid-twentieth century developments in phonology in the Soviet Union, Northern and Western Europe, and North America; it continues with precursors to generative grammar, and culminates in a chapter on Chomsky and Halle's The Sound Pattern of English (SPE). Part IV then shows how phonological theorists responded to SPE with respect to derivations, representations, and phonology-morphology interaction. Theories discussed include Dependency Phonology, Government Phonology, Constraint-and-Repair theories, and Optimality Theory. The part ends with a chapter on the study of variation. Finally, chapters in Part V look at new methods and approaches, covering phonetic explanation, corpora and phonological analysis, probabilistic phonology, computational modelling, models of phonological learning, and the evolution of phonology. This in-depth exploration of the history of phonology provides new perspectives on where phonology has been and sheds light on where it could go next.
  cu boulder computer science ranking: Greenes' Guide to Educational Planning:The Public Ivies Howard Greene, Matthew W. Greene, 2001-08 Information is provided about thirty public colleges and universities at which students can receive an Ivy League education at a fraction of the price of Harvard, Yale, and Princeton. --book cover.
  cu boulder computer science ranking: Technical Abstract Bulletin , 1981
  cu boulder computer science ranking: Current Trends in Data Management Technology Asuman Dogac, M. Tamer Özsu, Ozgur Ulusoy, 1999-01-01 Current Trends in Data Management Technology reports on the most recent, important advances in data management as it applies to diverse issues, such as Web information management, workflow systems, electronic commerce, reengineering business processes, object-oriented databases, and more.
  cu boulder computer science ranking: Proceedings of the Twenty-second Annual Conference of the Cognitive Science Society Lila R. Gleitman, Aravind K. Joshi, 2000 Vol inclu all ppers & postrs presntd at 2000 Cog Sci mtg & summaries of symposia & invitd addresses. Dealg wth issues of representg & modelg cog procsses, appeals to scholars in all subdiscip tht comprise cog sci: psy, compu sci, neuro sci, ling, & philo
  cu boulder computer science ranking: Lingua , 1998 International review of general linguistics.
  cu boulder computer science ranking: Deep Learning Techniques and Optimization Strategies in Big Data Analytics Thomas, J. Joshua, Karagoz, Pinar, Ahamed, B. Bazeer, Vasant, Pandian, 2019-11-29 Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.
  cu boulder computer science ranking: Parallel Algorithms for Constrained Optimization Andrew Todd Phillips, 1988
  cu boulder computer science ranking: Glory Colorado! William E. Davis, 1965
  cu boulder computer science ranking: Quantum Computing National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Intelligence Community Studies Board, Computer Science and Telecommunications Board, Committee on Technical Assessment of the Feasibility and Implications of Quantum Computing, 2019-04-27 Quantum mechanics, the subfield of physics that describes the behavior of very small (quantum) particles, provides the basis for a new paradigm of computing. First proposed in the 1980s as a way to improve computational modeling of quantum systems, the field of quantum computing has recently garnered significant attention due to progress in building small-scale devices. However, significant technical advances will be required before a large-scale, practical quantum computer can be achieved. Quantum Computing: Progress and Prospects provides an introduction to the field, including the unique characteristics and constraints of the technology, and assesses the feasibility and implications of creating a functional quantum computer capable of addressing real-world problems. This report considers hardware and software requirements, quantum algorithms, drivers of advances in quantum computing and quantum devices, benchmarks associated with relevant use cases, the time and resources required, and how to assess the probability of success.
  cu boulder computer science ranking: Talking About Leaving Elaine Seymour, 2000-08-01 This intriguing book explores the reasons that lead undergraduates of above-average ability to switch from science, mathematics, and engineering majors into nonscience majors. Based on a three-year, seven-campus study, the volume takes up the ongoing national debate about the quality of undergraduate education in these fields, offering explanations for net losses of students to non-science majors. Data show that approximately 40 percent of undergraduate students leave engineering programs, 50 percent leave the physical and biological sciences, and 60 percent leave mathematics. Concern about this waste of talent is heightened because these losses occur among the most highly qualified college entrants and are disproportionately greater among women and students of color, despite a serious national effort to improve their recruitment and retention. The authors' findings, culled from over 600 hours of ethnographic interviews and focus group discussions with undergraduates, explain the intended and unintended consequences of some traditional teaching practices and attitudes. Talking about Leaving is richly illustrated with students' accounts of their own experiences in the sciences. This is a landmark study-an essential source book for all those concerned with changing the ways that we teach science, mathematics, and engineering education, and with opening these fields to a more diverse student body.
  cu boulder computer science ranking: How to Walk on Water and Climb up Walls David Hu, 2018-11-13 Discovering the secrets of animal movement and what they can teach us Insects walk on water, snakes slither, and fish swim. Animals move with astounding grace, speed, and versatility: how do they do it, and what can we learn from them? In How to Walk on Water and Climb up Walls, David Hu takes readers on an accessible, wondrous journey into the world of animal motion. From basement labs at MIT to the rain forests of Panama, Hu shows how animals have adapted and evolved to traverse their environments, taking advantage of physical laws with results that are startling and ingenious. In turn, the latest discoveries about animal mechanics are inspiring scientists to invent robots and devices that move with similar elegance and efficiency. Hu follows scientists as they investigate a multitude of animal movements, from the undulations of sandfish and the way that dogs shake off water in fractions of a second to the seemingly crash-resistant characteristics of insect flight. Not limiting his exploration to individual organisms, Hu describes the ways animals enact swarm intelligence, such as when army ants cooperate and link their bodies to create bridges that span ravines. He also looks at what scientists learn from nature’s unexpected feats—such as snakes that fly, mosquitoes that survive rainstorms, and dead fish that swim upstream. As researchers better understand such issues as energy, flexibility, and water repellency in animal movement, they are applying this knowledge to the development of cutting-edge technology. Integrating biology, engineering, physics, and robotics, How to Walk on Water and Climb up Walls demystifies the remarkable mechanics behind animal locomotion.
  cu boulder computer science ranking: The Calculus of Computation Aaron R. Bradley, Zohar Manna, 2007-09-18 Written with graduate and advanced undergraduate students in mind, this textbook introduces computational logic from the foundations of first-order logic to state-of-the-art decision procedures for arithmetic, data structures, and combination theories. The textbook also presents a logical approach to engineering correct software. Verification exercises are given to develop the reader's facility in specifying and verifying software using logic. The treatment of verification concludes with an introduction to the static analysis of software, an important component of modern verification systems. The final chapter outlines courses of further study.
  cu boulder computer science ranking: Presidential Science Advisors Roger Pielke, Roberta A. Klein, 2010-06-16 For the past 50 years a select group of scientists has provided advice to the US President, mostly out of the public eye, on issues ranging from the deployment of weapons to the launching of rockets to the moon to the use of stem cells to cure disease. The role of the presidential science adviser came under increasing scrutiny during the administration of George W. Bush, which was highly criticized by many for its use (and some say, misuse) of science. This edited volume includes, for the first time, the reflections of the presidential science advisers from Donald Hornig who served under Lyndon B. Johnson, to John Marburger, the previous science advisor, on their roles within both government and the scientific community. It provides an intimate glimpse into the inner workings of the White House, as well as the political realities of providing advice on scientific matters to the presidential of the United States. The reflections of the advisers are supplemented with critical analysis of the role of the science adviser by several well-recognized science policy practitioners and experts. This volume will be of interest to science policy and presidential history scholars and students.
  cu boulder computer science ranking: Government Reports Announcements & Index , 1989
  cu boulder computer science ranking: The Harmonic Mind: Cognitive architecture Paul Smolensky, 2006
  cu boulder computer science ranking: Applied Linear Algebra Peter J. Olver, Chehrzad Shakiban, 2018-05-30 This textbook develops the essential tools of linear algebra, with the goal of imparting technique alongside contextual understanding. Applications go hand-in-hand with theory, each reinforcing and explaining the other. This approach encourages students to develop not only the technical proficiency needed to go on to further study, but an appreciation for when, why, and how the tools of linear algebra can be used across modern applied mathematics. Providing an extensive treatment of essential topics such as Gaussian elimination, inner products and norms, and eigenvalues and singular values, this text can be used for an in-depth first course, or an application-driven second course in linear algebra. In this second edition, applications have been updated and expanded to include numerical methods, dynamical systems, data analysis, and signal processing, while the pedagogical flow of the core material has been improved. Throughout, the text emphasizes the conceptual connections between each application and the underlying linear algebraic techniques, thereby enabling students not only to learn how to apply the mathematical tools in routine contexts, but also to understand what is required to adapt to unusual or emerging problems. No previous knowledge of linear algebra is needed to approach this text, with single-variable calculus as the only formal prerequisite. However, the reader will need to draw upon some mathematical maturity to engage in the increasing abstraction inherent to the subject. Once equipped with the main tools and concepts from this book, students will be prepared for further study in differential equations, numerical analysis, data science and statistics, and a broad range of applications. The first author’s text, Introduction to Partial Differential Equations, is an ideal companion volume, forming a natural extension of the linear mathematical methods developed here.
  cu boulder computer science ranking: Shapeholders Mark R. Kennedy, 2017-05-09 Today, all it takes is one organizational misstep to sink a company's reputation. Social media can be a strict ethical enforcer, with the power to convince thousands to boycott products and services. Executives are stuck on appeasing stakeholders—shareholders, employees, and consumers—but they ignore shapeholders, regulators, the media, and social and political activists who have no stake in a company but will work hard to curb what they see as bad business practices. And they do so at their own peril. In Shapeholders: Business Success in the Age of Activism, former congressman, Fortune 500 executive, and university president Mark Kennedy argues that shapeholders, as much as stakeholders, have significant power to determine a company's risks and opportunities, if not its survival. Many international, multi-billion-dollar corporations fail to anticipate activism, and they flounder on first contact. Kennedy zeroes in on the different languages that shapeholders and companies speak and their contrasting metrics for what constitutes acceptable business practice. Executives, he argues, must be visionaries who find profitable—and probable—collaborations to diffuse political tensions. Kennedy's decision matrix helps corporations align their business practices with shapeholder interests, anticipate their demands, and assess changing moral standards so that together they can plan a profitable route forward.
  cu boulder computer science ranking: U. S. News Ultimate College Guide Anne McGrath, 2006 Provides guidance for choosing a school, getting accepted, and finding financial aid, and profiles over 1,400 colleges and universities in the U.S.
  cu boulder computer science ranking: Environmental Political Theory Steve Vanderheiden, 2020-10-02 Our politics is intimately linked to the environmental conditions - and crises - of our time. The challenges of sustainability and the discovery of ecological limits to growth are transforming how we understand the core concepts at the heart of political theory. In this essential new textbook, leading political theorist Steve Vanderheiden examines how the concept of sustainability challenges – and is challenged – by eight key social and political ideas, ranging from freedom and equality to democracy and sovereignty. He shows that environmental change will disrupt some of our most cherished ideals, requiring new indicators of progress, new forms of community, and new conceptions of agency and responsibility. He draws on canonical texts, contemporary approaches to environmental political theory, and vivid examples to illustrate how changes in our conceptualization of our social aspirations can inhibit or enable a transition to a just and sustainable society. Vanderheiden masterfully balances crystal clear explanation of the essentials with cutting-edge analysis to produce a book that will be core reading for students of environmental and green political theory everywhere.
  cu boulder computer science ranking: Handbook of Behavior Genetics Yong-Kyu Kim, 2009-03-25 This handbook provides research guidelines to study roles of the genes and other factors involved in a variety of complex behaviors. Utilizing methodologies and theories commonly used in behavior genetics, each chapter features an overview of the selected topic, current issues, as well as current and future research.
  cu boulder computer science ranking: The Arctic Climate System Mark C. Serreze, Roger Graham Barry, 2005-10-13 A comprehensive, up-to-date assessment of the Arctic climate system for researchers and advanced students.
  cu boulder computer science ranking: Mountains Martin F. Price, 2015 In this Very Short Introduction, Martin Price addresses the role of mountains in global ecosystems and within human culture. Considering the global effects of melting glaciers, and the conservation of mountain regions and peoples, he discusses the future of mountainous regions and the implications for all of us.
  cu boulder computer science ranking: Higher Education Opportunity Act United States, 2008
  cu boulder computer science ranking: Getting What You Came For Robert Peters, 2023-08-29 Is graduate school right for you? Should you get a master's or a Ph.D.? How can you choose the best possible school? This classic guide helps students answer these vital questions and much more. It will also help graduate students finish in less time, for less money, and with less trouble. Based on interviews with career counselors, graduate students, and professors, Getting What You Came For is packed with real-life experiences. It has all the advice a student will need not only to survive but to thrive in graduate school, including: instructions on applying to school and for financial aid; how to excel on qualifying exams; how to manage academic politics—including hostile professors; and how to write and defend a top-notch thesis. Most important, it shows you how to land a job when you graduate.
  cu boulder computer science ranking: The College Board College Handbook , 2001
  cu boulder computer science ranking: Introduction to Mathematical Statistics L. Schmetterer, 2012-12-06 To Mathematical Statistics Translated from the German by Kenneth Wickwire Springer-Verlag Berlin Heidelberg New York 1974 Leopold Schmetterer Professor of Statistics and Mathematics at the University of Vienna Translator: Kenneth Wickwire Department of Mathematics, University of Manchester Title of the German Original Edition: Einfiihrung in die mathematische Statistik, 2. verbesserte und wesentlich erweiterte Auflage Springer-Verlag Wien New York 1966 With 11 figures AMS Subject Classification (1970): 62-01, 62 Axx, 62 Bxx, 62 Cxx, 62D03, 62 Exx, 62 Fxx, 62 Gxx, 62 Hxx ISBN-13: 978-3-642-65544-9 e-ISBN-13: 978-3-642-65542-5 DOl: 10. 1007/978-3-642-65542-5 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically those of translation, reprinting, re-use of illustrations, broadcasting, reproduction by photocopying machine or similar means, and storage in data banks. Under {sect}54 of the German Copyright Law where copies are made for other than private use, a fee is payable to the publisher, the amount of the fee to be determined by agreement with the publisher. © by Springer-Verlag Berlin· Heidelberg 1974. Library of Congress Catalog Card Number 73-15290. Softcover reprint of the hardcover 1 st edition 1974 Bookbinding: Konrad Triltsch, Wiirzburg. Preface I have used the opportunity of the second edition of the German version being translated into English to alter and improve some details. Of course I tried to correct misprints and errata of the original version. Moreover some proofs have been slightly changed and I hope thereby improved.
  cu boulder computer science ranking: The University of Being Marc Davidoff, 2021-11-24 The University of Being is a wish, a dream, and at the same time a proposal to improve our humanity and raise with dignity the value of being. The combination of the quixotic dreamer with companion Sancho Panza who could ground these dreams , could make this impossible dream como true or perhaps possible if we work to change some human values that have not allowed us to be united and truly value each human being
  cu boulder computer science ranking: The IVY System , 1961
  cu boulder computer science ranking: Math Bytes Tim P. Chartier, 2014-04-06 An inviting collection of fun, hands-on applications in mathematics and computing This book provides a fun, hands-on approach to learning how mathematics and computing relate to the world around us and help us to better understand it. How can reposting on Twitter kill a movie's opening weekend? How can you use mathematics to find your celebrity look-alike? What is Homer Simpson’s method for disproving Fermat’s Last Theorem? Each topic in this refreshingly inviting book illustrates a famous mathematical algorithm or result--such as Google’s PageRank and the traveling salesman problem--and the applications grow more challenging as you progress through the chapters. But don’t worry, helpful solutions are provided each step of the way. Math Bytes shows you how to do calculus using a bag of chocolate chips, and how to prove the Euler characteristic simply by doodling. Generously illustrated in color throughout, this lively and entertaining book also explains how to create fractal landscapes with a roll of the dice, pick a competitive bracket for March Madness, decipher the math that makes it possible to resize a computer font or launch an Angry Bird--and much, much more. All of the applications are presented in an accessible and engaging way, enabling beginners and advanced readers alike to learn and explore at their own pace--a bit and a byte at a time.
  cu boulder computer science ranking: Being Anu salman pasha , This story is about Anu and her love..How she who fights the odds, fights the world,and ends up fighting wit love.. Who in Anu?Who is she? The people define her by the clothes not by her heart. She is the one who has to fight with the world everyday as they define her character by the length of her dress.. She is suppose to be weak being.. But no one realises she s the toughest being who goes through all the odds of life with a smile on her face She.. Is the one who has to bear the eyes of cruelty... The cheap talks.. She..Sometimes s just object of pleasure.. Which was never true but still its the thought people live with.. Yes the truth of life is bitter but.. Time has come to change.. Coz.. She s the one.. who loves u..Who cares for u.. Who leaves her dreams to be part of yr dreams.. Who sacrifices her lifes to make yr life.. YES... SHE...... She is the one.. Who deserve our respect.... love and care.......
  cu boulder computer science ranking: Situated Design Methods Jesper Simonsen, 2014-07-18 This book presents eighteen situated design methods, offering cases and analyses of projects that range from designing interactive installations, urban spaces, and environmental systems to understand customer experiences.
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