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This updated edition offers an indispensable exposition on real-time computing, with particular emphasis on predictable scheduling algorithms. It introduces the fundamental concepts of real-time computing, demonstrates the most significant results in the field, and provides the essential methodologies for designing predictable computing systems used to support time-critical control applications. Along with an in-depth guide to the available approaches for the implementation and analysis of real-time applications, this revised edition contains a close examination of recent developments in real-time systems, including limited preemptive scheduling, resource reservation techniques, overload handling algorithms, and adaptive scheduling techniques. This volume serves as a fundamental advanced-level textbook. Each chapter provides basic concepts, which are followed by algorithms, illustrated with concrete examples, figures and tables. Exercises and solutions are provided to enhance self-study, making this an excellent reference for those interested in real-time computing for designing and/or developing predictable control applications.
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.
This easy-to-follow introduction to computer science reveals how familiar stories like Hansel and Gretel, Sherlock Holmes, and Harry Potter illustrate the concepts and everyday relevance of computing. Picture a computer scientist, staring at a screen and clicking away frantically on a keyboard, hacking into a system, or perhaps developing an app. Now delete that picture. In Once Upon an Algorithm, Martin Erwig explains computation as something that takes place beyond electronic computers, and computer science as the study of systematic problem solving. Erwig points out that many daily activities involve problem solving. Getting up in the morning, for example: You get up, take a shower, get dressed, eat breakfast. This simple daily routine solves a recurring problem through a series of well-defined steps. In computer science, such a routine is called an algorithm. Erwig illustrates a series of concepts in computing with examples from daily life and familiar stories. Hansel and Gretel, for example, execute an algorithm to get home from the forest. The movie Groundhog Day illustrates the problem of unsolvability; Sherlock Holmes manipulates data structures when solving a crime; the magic in Harry Potter’s world is understood through types and abstraction; and Indiana Jones demonstrates the complexity of searching. Along the way, Erwig also discusses representations and different ways to organize data; “intractable” problems; language, syntax, and ambiguity; control structures, loops, and the halting problem; different forms of recursion; and rules for finding errors in algorithms. This engaging book explains computation accessibly and shows its relevance to daily life. Something to think about next time we execute the algorithm of getting up in the morning.
*More info and preview* on https://benoitseron.wordpress.com/This book is a thorough study guide on how to become an exceptional student and specializes in the study of Physics and Mathematics. It can be used for high school students who hate Physics and Maths and want to get it over with, up to graduate students applying for PhDs. The book covers every single point of student life, from the basics of study to advanced techniques for desperate exam situations. This book takes a holistic approach to your study. That is, not only the proper, special study techniques of Physics and Maths are discussed, but also every other element of student life. To name a few: procrastination, sleep, habits, exam preparation, group works, projects, presentations, scientific writing, and, importantly, a vast section dedicated to your career choices. It ranges from which university to choose, to the purpose of your career, and where you can find meaning and thence happiness.This book aims to give you all the advice possible to master Physics and Maths and score excellent marks, whether in high school or at university. Benoît Seron studied Applied Mathematics at Cambridge University. Before that, he studied five years in Belgium as a Theoretical Physicist, with the best grades of his class every year. He is now a PhD student at the University of Bruxelles.
University Education in Computing Science documents the proceedings of a conference on graduate academic and related research programs in computing science, held at the State University of New York at Stony Brook on June 8, 1967. This book provides a comprehensive study of the role of the computing sciences as an academic program, including its organizational structure and relationship to the computing center. The undergraduate education in computing science and operational policies of university computing centers are also elaborated. Other topics include the graduate computer science program at American universities, dilemma of computer sciences, and science and engineering of information. The industry's view of computing science and doctoral program in computing science are likewise covered. This publication is suitable for educational, industrial, and governmental organizations concerned with education related to computing science.
New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.
An essay collection addressing computer networking and scholarly communication in higher education offers a broad array of insights from the technical and academic points of view. Many of the 25 contributors have been influential in establishing computer mediated communication in their universities and colleges. Their advice and experience cover on-line costs, administration, research issues, classroom networking across the curriculum, electronic library resources, and even a brief introduction to "navigating the network." Annotation copyright by Book News, Inc., Portland, OR
In 2012, the world lurches toward nuclear Armageddon. A mysterious evangelist gone terrorist, a man with supernatural origins, hopes to usher in a biblical apocalypse using stolen atomic warheads. Three stand against him, a seer of good and evil, her academic beau, and a disaffected FBI agent. All four may be emissaries of God, but who, in these times, does God truly favor? A supernatural urban thriller.
A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right. In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.