Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments
Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2018-04-28

Total Pages: 253

ISBN-13: 0309467020

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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.

Active Learning
Active Learning

Author: Burr Chen

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 100

ISBN-13: 3031015606

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The key idea behind active learning is that a machine learning algorithm can perform better with less training if it is allowed to choose the data from which it learns. An active learner may pose "queries," usually in the form of unlabeled data instances to be labeled by an "oracle" (e.g., a human annotator) that already understands the nature of the problem. This sort of approach is well-motivated in many modern machine learning and data mining applications, where unlabeled data may be abundant or easy to come by, but training labels are difficult, time-consuming, or expensive to obtain. This book is a general introduction to active learning. It outlines several scenarios in which queries might be formulated, and details many query selection algorithms which have been organized into four broad categories, or "query selection frameworks." We also touch on some of the theoretical foundations of active learning, and conclude with an overview of the strengths and weaknesses of these approaches in practice, including a summary of ongoing work to address these open challenges and opportunities. Table of Contents: Automating Inquiry / Uncertainty Sampling / Searching Through the Hypothesis Space / Minimizing Expected Error and Variance / Exploiting Structure in Data / Theory / Practical Considerations

Ideas That Created the Future
Ideas That Created the Future

Author: Harry R. Lewis

Publisher: MIT Press

Published: 2021-02-02

Total Pages: 518

ISBN-13: 026236221X

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Classic papers by thinkers ranging from from Aristotle and Leibniz to Norbert Wiener and Gordon Moore that chart the evolution of computer science. Ideas That Created the Future collects forty-six classic papers in computer science that map the evolution of the field. It covers all aspects of computer science: theory and practice, architectures and algorithms, and logic and software systems, with an emphasis on the period of 1936-1980 but also including important early work. Offering papers by thinkers ranging from Aristotle and Leibniz to Alan Turing and Nobert Wiener, the book documents the discoveries and inventions that created today's digital world. Each paper is accompanied by a brief essay by Harry Lewis, the volume's editor, offering historical and intellectual context.

Algorithms and Theory of Computation Handbook - 2 Volume Set
Algorithms and Theory of Computation Handbook - 2 Volume Set

Author: Mikhail J. Atallah

Publisher: CRC Press

Published: 2022-05-29

Total Pages: 1904

ISBN-13: 1439832331

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Algorithms and Theory of Computation Handbook, Second Edition in a two volume set, provides an up-to-date compendium of fundamental computer science topics and techniques. It also illustrates how the topics and techniques come together to deliver efficient solutions to important practical problems. New to the Second Edition: Along with updating and revising many of the existing chapters, this second edition contains more than 20 new chapters. This edition now covers external memory, parameterized, self-stabilizing, and pricing algorithms as well as the theories of algorithmic coding, privacy and anonymity, databases, computational games, and communication networks. It also discusses computational topology, computational number theory, natural language processing, and grid computing and explores applications in intensity-modulated radiation therapy, voting, DNA research, systems biology, and financial derivatives. This best-selling handbook continues to help computer professionals and engineers find significant information on various algorithmic topics. The expert contributors clearly define the terminology, present basic results and techniques, and offer a number of current references to the in-depth literature. They also provide a glimpse of the major research issues concerning the relevant topics

Digital Libraries in Computer Science: The MeDoc Approach
Digital Libraries in Computer Science: The MeDoc Approach

Author: Andreas Barth

Publisher: Springer

Published: 2006-07-28

Total Pages: 245

ISBN-13: 354069790X

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This book coherently documents the results and experiences of a major digital library pilot effort, the MeDoc project (Multimedia Electronic Documents). This two-year project was initiated by the German Informatics Society (GI) and involved authors, publishers, librarians, and computer science departments. The prototype distributed digital library system developed during the initiative was operated in a nationwide trial for several months. The book presents the technical and operational results achieved during the project as well as input from foreign digital library activities. Besides professionals active in the area of digital library research and design, this book addresses librarians and others engaged in scientific publishing.

Treewidth, Kernels, and Algorithms
Treewidth, Kernels, and Algorithms

Author: Fedor V. Fomin

Publisher: Springer Nature

Published: 2020-04-20

Total Pages: 350

ISBN-13: 303042071X

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This Festschrift was published in honor of Hans L. Bodlaender on the occasion of his 60th birthday. The 14 full and 5 short contributions included in this volume show the many transformative discoveries made by H.L. Bodlaender in the areas of graph algorithms, parameterized complexity, kernelization and combinatorial games. The papers are written by his former Ph.D. students and colleagues as well as by his former Ph.D. advisor, Jan van Leeuwen. Chapter “Crossing Paths with Hans Bodlaender: A Personal View on Cross-Composition for Sparsification Lower Bounds” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.