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| computer science ucla major requirements: Stuck in the Shallow End, updated edition Jane Margolis, 2017-03-03 Why so few African American and Latino/a students study computer science: updated edition of a book that reveals the dynamics of inequality in American schools. The number of African Americans and Latino/as receiving undergraduate and advanced degrees in computer science is disproportionately low. And relatively few African American and Latino/a high school students receive the kind of institutional encouragement, educational opportunities, and preparation needed for them to choose computer science as a field of study and profession. In Stuck in the Shallow End, Jane Margolis and coauthors look at the daily experiences of students and teachers in three Los Angeles public high schools: an overcrowded urban high school, a math and science magnet school, and a well-funded school in an affluent neighborhood. They find an insidious “virtual segregation” that maintains inequality. The race gap in computer science, Margolis discovers, is one example of the way students of color are denied a wide range of occupational and educational futures. Stuck in the Shallow End is a story of how inequality is reproduced in America—and how students and teachers, given the necessary tools, can change the system. Since the 2008 publication of Stuck in the Shallow End, the book has found an eager audience among teachers, school administrators, and academics. This updated edition offers a new preface detailing the progress in making computer science accessible to all, a new postscript, and discussion questions (coauthored by Jane Margolis and Joanna Goode). |
| computer science ucla major requirements: Operating Systems Remzi H. Arpaci-Dusseau, Andrea C. Arpaci-Dusseau, 2018-09 This book is organized around three concepts fundamental to OS construction: virtualization (of CPU and memory), concurrency (locks and condition variables), and persistence (disks, RAIDS, and file systems--Back cover. |
| computer science ucla major requirements: Unlocking the Clubhouse Jane Margolis, Allan Fisher, 2003-02-28 Understanding and overcoming the gender gap in computer science education. The information technology revolution is transforming almost every aspect of society, but girls and women are largely out of the loop. Although women surf the Web in equal numbers to men and make a majority of online purchases, few are involved in the design and creation of new technology. It is mostly men whose perspectives and priorities inform the development of computing innovations and who reap the lion's share of the financial rewards. As only a small fraction of high school and college computer science students are female, the field is likely to remain a male clubhouse, absent major changes. In Unlocking the Clubhouse, social scientist Jane Margolis and computer scientist and educator Allan Fisher examine the many influences contributing to the gender gap in computing. The book is based on interviews with more than 100 computer science students of both sexes from Carnegie Mellon University, a major center of computer science research, over a period of four years, as well as classroom observations and conversations with hundreds of college and high school faculty. The interviews capture the dynamic details of the female computing experience, from the family computer kept in a brother's bedroom to women's feelings of alienation in college computing classes. The authors investigate the familial, educational, and institutional origins of the computing gender gap. They also describe educational reforms that have made a dramatic difference at Carnegie Mellon—where the percentage of women entering the School of Computer Science rose from 7% in 1995 to 42% in 2000—and at high schools around the country. |
| computer science ucla major requirements: Dynamic Systems Biology Modeling and Simulation Joseph DiStefano III, 2015-01-10 Dynamic Systems Biology Modeling and Simuation consolidates and unifies classical and contemporary multiscale methodologies for mathematical modeling and computer simulation of dynamic biological systems – from molecular/cellular, organ-system, on up to population levels. The book pedagogy is developed as a well-annotated, systematic tutorial – with clearly spelled-out and unified nomenclature – derived from the author's own modeling efforts, publications and teaching over half a century. Ambiguities in some concepts and tools are clarified and others are rendered more accessible and practical. The latter include novel qualitative theory and methodologies for recognizing dynamical signatures in data using structural (multicompartmental and network) models and graph theory; and analyzing structural and measurement (data) models for quantification feasibility. The level is basic-to-intermediate, with much emphasis on biomodeling from real biodata, for use in real applications. - Introductory coverage of core mathematical concepts such as linear and nonlinear differential and difference equations, Laplace transforms, linear algebra, probability, statistics and stochastics topics - The pertinent biology, biochemistry, biophysics or pharmacology for modeling are provided, to support understanding the amalgam of math modeling with life sciences - Strong emphasis on quantifying as well as building and analyzing biomodels: includes methodology and computational tools for parameter identifiability and sensitivity analysis; parameter estimation from real data; model distinguishability and simplification; and practical bioexperiment design and optimization - Companion website provides solutions and program code for examples and exercises using Matlab, Simulink, VisSim, SimBiology, SAAMII, AMIGO, Copasi and SBML-coded models - A full set of PowerPoint slides are available from the author for teaching from his textbook. He uses them to teach a 10 week quarter upper division course at UCLA, which meets twice a week, so there are 20 lectures. They can easily be augmented or stretched for a 15 week semester course - Importantly, the slides are editable, so they can be readily adapted to a lecturer's personal style and course content needs. The lectures are based on excerpts from 12 of the first 13 chapters of DSBMS. They are designed to highlight the key course material, as a study guide and structure for students following the full text content - The complete PowerPoint slide package (~25 MB) can be obtained by instructors (or prospective instructors) by emailing the author directly, at: joed@cs.ucla.edu |
| computer science ucla major requirements: Learning to Solve Problems by Searching for Macro-operators Richard E. Korf, 1985 This monograph explores the idea of learning efficient strategies for solving problems by searching for macro-operators. |
| computer science ucla major requirements: Introduction to Computational Science Angela B. Shiflet, George W. Shiflet, 2014-03-30 The essential introduction to computational science—now fully updated and expanded Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This textbook provides students with a versatile and accessible introduction to the subject. It assumes only a background in high school algebra, enables instructors to follow tailored pathways through the material, and is the only textbook of its kind designed specifically for an introductory course in the computational science and engineering curriculum. While the text itself is generic, an accompanying website offers tutorials and files in a variety of software packages. This fully updated and expanded edition features two new chapters on agent-based simulations and modeling with matrices, ten new project modules, and an additional module on diffusion. Besides increased treatment of high-performance computing and its applications, the book also includes additional quick review questions with answers, exercises, and individual and team projects. The only introductory textbook of its kind—now fully updated and expanded Features two new chapters on agent-based simulations and modeling with matrices Increased coverage of high-performance computing and its applications Includes additional modules, review questions, exercises, and projects An online instructor's manual with exercise answers, selected project solutions, and a test bank and solutions (available only to professors) An online illustration package is available to professors |
| computer science ucla major requirements: Right College, Right Price Frank Palmasani, 2013 Describes how the Financial Fit program can help families determine how much college will really cost beyond the sticker price and factor cost into the college search, and explains how to maximize financial aid benefits. |
| computer science ucla major requirements: A to Z of Computer Scientists, Updated Edition Harry Henderson, 2020-01-01 Praise for the previous edition: Entries are written with enough clarity and simplicity to appeal to general audiences. The additional readings that end each profile give excellent pointers for more detailed information...Recommended.—Choice This well-written collection of biographies of the most important contributors to the computer world...is a valuable resource for those interested in the men and women who were instrumental in making the world we live in today. This is a recommended purchase for reference collections.—American Reference Books Annual ...this one is recommended for high-school, public, and undergraduate libraries.—Booklist The significant role that the computer plays in the business world, schools, and homes speaks to the impact it has on our daily lives. While many people are familiar with the Internet, online shopping, and basic computer technology, the scientists who pioneered this digital age are generally less well-known. A to Z of Computer Scientists, Updated Edition features 136 computer pioneers and shows the ways in which these individuals developed their ideas, overcame technical and institutional challenges, collaborated with colleagues, and created products or institutions of lasting importance. The cutting-edge, contemporary entries explore a diverse group of inventors, scientists, entrepreneurs, and visionaries in the computer science field. People covered include: Grace Hopper (1906–1992) Dennis Ritchie (1941–2011) Brian Kernighan (1942–present) Howard Rheingold (1947–present) Bjarne Stroustrup (1950–present) Esther Dyson (1951–present) Silvio Micali (1954–present) Jeff Bezos (1964–present) Pierre Omidyar (1967–present) Jerry Yang (1968–present) |
| computer science ucla major requirements: Computational Imaging Ayush Bhandari, Achuta Kadambi, Ramesh Raskar, 2022-10-25 A comprehensive and up-to-date textbook and reference for computational imaging, which combines vision, graphics, signal processing, and optics. Computational imaging involves the joint design of imaging hardware and computer algorithms to create novel imaging systems with unprecedented capabilities. In recent years such capabilities include cameras that operate at a trillion frames per second, microscopes that can see small viruses long thought to be optically irresolvable, and telescopes that capture images of black holes. This text offers a comprehensive and up-to-date introduction to this rapidly growing field, a convergence of vision, graphics, signal processing, and optics. It can be used as an instructional resource for computer imaging courses and as a reference for professionals. It covers the fundamentals of the field, current research and applications, and light transport techniques. The text first presents an imaging toolkit, including optics, image sensors, and illumination, and a computational toolkit, introducing modeling, mathematical tools, model-based inversion, data-driven inversion techniques, and hybrid inversion techniques. It then examines different modalities of light, focusing on the plenoptic function, which describes degrees of freedom of a light ray. Finally, the text outlines light transport techniques, describing imaging systems that obtain micron-scale 3D shape or optimize for noise-free imaging, optical computing, and non-line-of-sight imaging. Throughout, it discusses the use of computational imaging methods in a range of application areas, including smart phone photography, autonomous driving, and medical imaging. End-of-chapter exercises help put the material in context. |
| computer science ucla major requirements: Power to the Transfer Dimpal Jain, Santiago N. Bernal Melendez, Alfred R. Herrera, 2020-02-01 Currently, U.S. community colleges serve nearly half of all students of color in higher education who, for a multitude of reasons, do not continue their education by transferring to a university. For those students who do transfer, often the responsibility for the application process, retention, graduation, and overall success is placed on them rather than their respective institutions. This book aims to provide direction toward the development and maintenance of a transfer receptive culture, which is defined as an institutional commitment by a university to support transfer students of color. A transfer receptive culture explicitly acknowledges the roles of race and racism in the vertical transfer process from a community college to a university and unapologetically centers transfer as a form of equity in the higher education pipeline. The framework is guided by critical race theory in education, which acknowledges the role of white supremacy and its contemporary and historical role in shaping institutions of higher learning. |
| computer science ucla major requirements: Physics 4al Grossmann, 2001 |
| computer science ucla major requirements: Algorithms of Oppression Safiya Umoja Noble, 2018-02-20 Acknowledgments -- Introduction: the power of algorithms -- A society, searching -- Searching for Black girls -- Searching for people and communities -- Searching for protections from search engines -- The future of knowledge in the public -- The future of information culture -- Conclusion: algorithms of oppression -- Epilogue -- Notes -- Bibliography -- Index -- About the author |
| computer science ucla major requirements: The Unofficial, Unbiased Guide to the 331 Most Interesting Colleges 2005 Kaplan, Inc, 2004-06-22 Engaging and informative, The Unofficial, Unbiased Guide to the 331 Most Interesting Colleges 2005 is a must-read reference for every college-bound student. |
| computer science ucla major requirements: Better with Age Dr. Alan D. Castel, 2018-08-01 Age is an important number, but it can also be deceiving. After 40, most people say they feel younger than their years, some lie about their age, and many attempt to hide the signs of growing old. Better with Age addresses the many myths and paradoxes about the aging process. Although most people think of their later years in terms of decline, they can be one of the best times in life. This book presents the latest scientific research about the psychology of aging, coupled with insights from those who have succeeded in doing it well, such as Maya Angelou, Bob Newhart, Jared Diamond, John Glenn, and John Wooden. We are all aging, and many people are concerned about what to expect with advancing years. Retirement, happiness, and brain health are some of the many topics covered in this book. Better with Age shows what we can do now, at any stage in life, to make sure we enjoy old age. |
| computer science ucla major requirements: General Catalogue University of California, Los Angeles, 1975 |
| computer science ucla major requirements: Systems and Computer Science John F Hart, Satoru Takasu, 1967-12-15 This book presents the papers delivered at the Conference on Systems and Computer Science held at the University of Western Ontario in September 1965. The primary purposes of the Conference were the promotion of research and the development of the teaching of computer science in Canadian universities. The papers focus attention on some of the concepts of Computer Science as a new field of study and at the same time provide a background for scientists looking at the subject for the first time. The chief developments in computer science have been concerned with the applied rather than the pure areas of the field: numerical analysis, applied statistics and operations research, and data processing. But there is something more to computers than the physical components and this book represents an attempt to correct the imbalance between applied and pure by drawing attention to certain theoretical aspects of computer and information science. Among the topics discussed are the theory of finite and infinite automata, aspects of formal language theory, heuristic and non-heuristic approaches to theorem proving and the mathematical formulation of the theory of general systems. There are also references to the problems of machine design, to software systems including higher-level languages, to multiple control computer models and to applied systems. This collection of papers will appeal first to graduate students and professors in Computer Science. It will also be of interest to computer scientists in industry and in government and university research groups and to the scientific public interested in discovering some of the principal ingredients and directions of the computer and information sciences. |
| computer science ucla major requirements: Quick Reference for Counselors , 2011 |
| computer science ucla major requirements: American Universities and Colleges Praeger Publishers, 2010-04-16 For well over a half century, American Universities and Colleges has been the most comprehensive and highly respected directory of four-year institutions of higher education in the United States. A two-volume set that Choice magazine hailed as a most important resource in its November 2006 issue, this revised edition features the most up-to-date statistical data available to guide students in making a smart yet practical decision in choosing the university or college of their dreams. In addition, the set serves as an indispensable reference source for parents, college advisors, educators, and public, academic, and high school librarians. These two volumes provide extensive information on 1,900 institutions of higher education, including all accredited colleges and universities that offer at least the baccalaureate degree. This essential resource offers pertinent, statistical data on such topics as tuition, room and board; admission requirements; financial aid; enrollments; student life; library holdings; accelerated and study abroad programs; departments and teaching staff; buildings and grounds; and degrees conferred. Volume two of the set provides four indexes, including an institutional Index, a subject accreditation index, a levels of degrees offered index, and a tabular index of summary data by state. These helpful indexes allow readers to find information easily and to make comparisons among institutions effectively. Also contained within the text are charts and tables that provide easy access to comparative data on relevant topics. |
| computer science ucla major requirements: Colleges Worth Your Money Andrew Belasco, Dave Bergman, Michael Trivette, 2023-05-15 Colleges Worth Your Money: A Guide to What America's Top Schools Can Do for You is an invaluable guide for students making the crucial decision of where to attend college when our thinking about higher education is radically changing. At a time when costs are soaring and competition for admission is higher than ever, the college-bound need to know how prospective schools will benefit them both as students and after graduation. Colleges Worth Your Moneyprovides the most up-to-date, accurate, and comprehensive information for gauging the ROI of America’s top schools, including: In-depth profiles of 200 of the top colleges and universities across the U.S.; Over 75 key statistics about each school that cover unique admissions-related data points such as gender-specific acceptance rates, early decision acceptance rates, and five-year admissions trends at each college. The solid facts on career outcomes, including the school’s connections with recruiters, the rate of employment post-graduation, where students land internships, the companies most likely to hire students from a particular school, and much more. Data and commentary on each college’s merit and need-based aid awards, average student debt, and starting salary outcomes. Top Colleges for America’s Top Majors lists highlighting schools that have the best programs in 40+ disciplines. Lists of the “Top Feeder” undergraduate colleges into medical school, law school, tech, journalism, Wall Street, engineering, and more. |
| computer science ucla major requirements: Publication standards United States. Naval Facilities Engineering Command, 1987 |
| computer science ucla major requirements: Customizable Computing Yu-Ting Chen, Jason Cong, Michael Gill, Glenn Reinman, Bingjun Xiao, Zhiyang Ong, 2015-07-01 Since the end of Dennard scaling in the early 2000s, improving the energy efficiency of computation has been the main concern of the research community and industry. The large energy efficiency gap between general-purpose processors and application-specific integrated circuits (ASICs) motivates the exploration of customizable architectures, where one can adapt the architecture to the workload. In this Synthesis lecture, we present an overview and introduction of the recent developments on energy-efficient customizable architectures, including customizable cores and accelerators, on-chip memory customization, and interconnect optimization. In addition to a discussion of the general techniques and classification of different approaches used in each area, we also highlight and illustrate some of the most successful design examples in each category and discuss their impact on performance and energy efficiency. We hope that this work captures the state-of-the-art research and development on customizable architectures and serves as a useful reference basis for further research, design, and implementation for large-scale deployment in future computing systems. |
| computer science ucla major requirements: Modeling Life Alan Garfinkel, Jane Shevtsov, Yina Guo, 2017-09-06 This book develops the mathematical tools essential for students in the life sciences to describe interacting systems and predict their behavior. From predator-prey populations in an ecosystem, to hormone regulation within the body, the natural world abounds in dynamical systems that affect us profoundly. Complex feedback relations and counter-intuitive responses are common in nature; this book develops the quantitative skills needed to explore these interactions. Differential equations are the natural mathematical tool for quantifying change, and are the driving force throughout this book. The use of Euler’s method makes nonlinear examples tractable and accessible to a broad spectrum of early-stage undergraduates, thus providing a practical alternative to the procedural approach of a traditional Calculus curriculum. Tools are developed within numerous, relevant examples, with an emphasis on the construction, evaluation, and interpretation of mathematical models throughout. Encountering these concepts in context, students learn not only quantitative techniques, but how to bridge between biological and mathematical ways of thinking. Examples range broadly, exploring the dynamics of neurons and the immune system, through to population dynamics and the Google PageRank algorithm. Each scenario relies only on an interest in the natural world; no biological expertise is assumed of student or instructor. Building on a single prerequisite of Precalculus, the book suits a two-quarter sequence for first or second year undergraduates, and meets the mathematical requirements of medical school entry. The later material provides opportunities for more advanced students in both mathematics and life sciences to revisit theoretical knowledge in a rich, real-world framework. In all cases, the focus is clear: how does the math help us understand the science? |
| computer science ucla major requirements: This Book Is Not Required Inge Bell, Bernard McGrane, John Gunderson, Terri L. Anderson, 2013-11-21 This edition continues to teach about the university experience as a whole - looking at the personal, social, intellectual, and spiritual demands and opportunities - while incorporating new material highly relevant to today's students. |
| computer science ucla major requirements: Comparative Guide to American Colleges James Cass, Max Birnbaum, 1991-08 |
| computer science ucla major requirements: Mosaic , 1987 |
| computer science ucla major requirements: Global Information Technologies: Concepts, Methodologies, Tools, and Applications Tan, Felix B., 2007-10-31 This collection compiles research in all areas of the global information domain. It examines culture in information systems, IT in developing countries, global e-business, and the worldwide information society, providing critical knowledge to fuel the future work of researchers, academicians and practitioners in fields such as information science, political science, international relations, sociology, and many more--Provided by publisher. |
| computer science ucla major requirements: The LOCUS Distributed System Architecture Gerald Popek, Bruce J. Walker, 1985 Computer Systems Organization -- Computer-Communication Networks. |
| computer science ucla major requirements: Software Diversity in Computerized Control Systems Udo Voges, 2012-12-06 Software Diversity is one of the fault-tolerance means to achieve dependable systems. In this volume, some experimental systems as well as real-life applications of software diversity are presented. The history, the current state-of-the-art and future perspectives are given. Although this technique is used quite successfully in industrial applications, further research is necessary to solve some open questions. We hope to report on new results and applications in another volume of this series within some years. Acknowledgements The idea of the workshop was put forward by the chairpersons of IFIP WG lOA, J. -c. Laprie, J. F. Meyer and Y. Tohma, in January 1986, and the edi tor of this volume was asked to organize the workshop. This volume was edited with the assistance of the editors of the series, A. AviZienis, H. Kopetz and J. -C. Laprie, who also had the function of reviewers. Karlsruhe, October 1987 U. Voges, Editor Table of Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1. Introduction U. Voges 2. Railway Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 ERICSSON Safety System for Railway Control . . . . . . . . . . . . . . . . . . 11 G. Hagelin 3. Nuclear Applications . . . . . . . . . . . . . . . . . . . . . . 23 Use of Diversity in Experimental Reactor Safety Systems . 29 U. Voges The PODS Diversity Experiment . 51 P. G. Bishop 4. Flight Applications . . . . . . . . . . . . . . . . . . . . . . . . . 85 AIRBUS and ATR System Architecture and Specification. . 95 P. Traverse 5. University Research . . . . . . . . . . . . . . . . . . . 105 Tolerating Software Design Faults in a Command and Control System . . . . . . . . . . . . . . . . . . . . . . 109 T. Anderson, P. A. Barrett, D. N. Halliwell, M. R. Moulding DEDIX 87 - A Supervisory System for Design Diversity Experiments at UCLA . . . . . . . . . . . . . . . . . . |
| computer science ucla major requirements: Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on the Growth of Computer Science Undergraduate Enrollments, 2018-04-28 The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past trends. It examines drivers of the current enrollment surge, relationships between the surge and current and potential gains in diversity in the field, and the potential impacts of responses to the increased demand for computing in higher education, and it considers the likely effects of those responses on students, faculty, and institutions. This report provides recommendations for what institutions of higher education, government agencies, and the private sector can do to respond to the surge and plan for a strong and sustainable future for the field of CS in general, the health of the institutions of higher education, and the prosperity of the nation. |
| computer science ucla major requirements: InfoWorld , 1992-08-17 InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects. |
| computer science ucla major requirements: Creative Minds, Charmed Lives: Interviews At Institute For Mathematical Sciences, National University Of Singapore Yu Kiang Leong, 2010-06-09 This book features interviews of 38 eminent mathematicians and mathematical scientists who were invited to participate in the programs of the Institute for Mathematical Sciences, National University of Singapore. Originally published in its newsletter Imprints from 2003 to 2009, these interviews give a fascinating and insightful glimpse into the passion driving some of the most creative minds in modern research in pure mathematics, applied mathematics, statistics, economics and engineering.The reader is drawn into a panorama of the past and present developments of some of the ideas that have revolutionized modern science and mathematics. This book should be relevant to those who are interested in the history and psychology of ideas. It should provide motivation, inspiration and guidance to students who aspire to do research and to beginning researchers who are looking for career niches.For those who wish to be broadly educated, it is informative without delving into excessive technical details and is, at the same time, thought provoking enough to arouse their curiosity to learn more about the world around them. |
| computer science ucla major requirements: Best 143 Business Schools Nedda Gilbert, Princeton Review (Firm), 2004 Our Best 357 Colleges is the best-selling college guide on the market because it is the voice of the students. Now we let graduate students speak for themselves, too, in these brand-new guides for selecting the ideal business, law, medical, or arts and humanities graduate school. It includes detailed profiles; rankings based on student surveys, like those made popular by our Best 357 Colleges guide; as well as student quotes about classes, professors, the social scene, and more. Plus we cover the ins and outs of admissions and financial aid. Each guide also includes an index of all schools with the most pertinent facts, such as contact information. And we've topped it all off with our school-says section where participating schools can talk back by providing their own profiles. It's a whole new way to find the perfect match in a graduate school. |
| computer science ucla major requirements: Introduction to Mathematical Thinking Keith J. Devlin, 2012 Mathematical thinking is not the same as 'doing math'--unless you are a professional mathematician. For most people, 'doing math' means the application of procedures and symbolic manipulations. Mathematical thinking, in contrast, is what the name reflects, a way of thinking about things in the world that humans have developed over three thousand years. It does not have to be about mathematics at all, which means that many people can benefit from learning this powerful way of thinking, not just mathematicians and scientists.--Back cover. |
| computer science ucla major requirements: Conceptual Modeling - ER 2009 Alberto H. F. Laender, Silvana Castano, Umeshwar Dayal, Fabio Casati, José Palazzo M. de Oliverira, 2009-11-09 Conceptual modeling has long been recognized as the primary means to enable software development in information systems and data engineering. Conceptual modeling provides languages, methods and tools to understand and represent the application domain; to elicit, conceptualize and formalize system requirements and user needs; to communicate systems designs to all stakeholders; and to formally verify and validate systems design on high levels of abstraction. Recently, ontologies added an important tool to conceptualize and formalize system specification. The International Conference on Conceptual Modeling – ER – provides the premiere forum for presenting and discussing current research and applications in which the major emphasis is centered on conceptual modeling. Topics of interest span the entire spectrum of conceptual modeling, including research and practice in areas such as theories of concepts and ontologies underlying conceptual modeling, methods and tools for developing and communicating conceptual models, and techniques for transforming conceptual models into effective implementations. The scientific program of ER 2009 features several activities running in parallel. |
| computer science ucla major requirements: Newsletter , 1978 |
| computer science ucla major requirements: University Bulletin University of California (System), 1972 |
| computer science ucla major requirements: Computer Science and Statistics--Tenth Annual Symposium on the Interface David Hogben, Dennis W. Fife, 1978 |
| computer science ucla major requirements: Computerworld , 1982-01-18 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
| computer science ucla major requirements: American Universities and Colleges James J. Murray, 2021-06-21 No detailed description available for American Universities and Colleges. |
| computer science ucla major requirements: Catalyzing Inquiry at the Interface of Computing and Biology National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on Frontiers at the Interface of Computing and Biology, 2005-12-01 Advances in computer science and technology and in biology over the last several years have opened up the possibility for computing to help answer fundamental questions in biology and for biology to help with new approaches to computing. Making the most of the research opportunities at the interface of computing and biology requires the active participation of people from both fields. While past attempts have been made in this direction, circumstances today appear to be much more favorable for progress. To help take advantage of these opportunities, this study was requested of the NRC by the National Science Foundation, the Department of Defense, the National Institutes of Health, and the Department of Energy. The report provides the basis for establishing cross-disciplinary collaboration between biology and computing including an analysis of potential impediments and strategies for overcoming them. The report also presents a wealth of examples that should encourage students in the biological sciences to look for ways to enable them to be more effective users of computing in their studies. |
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