Great Principles of Computing

Abstract

A new framework for understanding computing: a coherent set of principles spanning technologies, domains, algorithms, architectures, and designs. Computing is usually viewed as a technology field that advances at the breakneck speed of Moore's Law. If we turn away even for a moment, we might miss a game-changing technological breakthrough or an earthshaking theoretical development. This book takes a different perspective, presenting computing as a science governed by fundamental principles that span all technologies. Computer science is a science of information processes. We need a new language to describe the science, and in this book Peter Denning and Craig Martell offer the great principles framework as just such a language. This is a book about the whole of computing—its algorithms, architectures, and designs. Denning and Martell divide the great principles of computing into six categories: communication, computation, coordination, recollection, evaluation, and design. They begin with an introduction to computing, its history, its many interactions with other fields, its domains of practice, and the structure of the great principles framework. They go on to examine the great principles in different areas: information, machines, programming, computation, memory, parallelism, queueing, and design. Finally, they apply the great principles to networking, the Internet in particular. Great Principles of Computing will be essential reading for professionals in science and engineering fields with a “computational” branch, for practitioners in computing who want overviews of less familiar areas of computer science, and for non-computer science majors who want an accessible entry way to the field.

Hesaplamali Düşünme Araştirmalarinin Bi̇bli̇yometri̇k Anali̇zi̇

“…The thickness of the pink ring is proportional to the betweenness centrality of the document or author (Chen, 2009). In this context, it is seen that Denning (2003), Guzdial (2008), Hambrusch, Hoffman, Korb, Haugan ve Hosking (2009) and Wing (2006) play a strategically important role in the intellectual structure of computational thinking research.…”

“…The width of the red ring surrounding the node is proportional to the rate of citation burst. When the co-citation network created for computational thinking research between 2006-2016 is examined, it is seen that the most central document in the network is Denning (2003) and the citations given to this publication or the interest shown in this publication have increased rapidly between 2007 and 2011. The rapid increase in the number of citations to the Denning (2003), which explore the basic principles and concepts of computer science, could indicate that computational thinking research studies focus on defining the concept and defining the basic principles between 2007 and 2011.…”

“…Bu alt alan CiteSpace tarafından LLR algoritması ile "İlerleme (Progress)" olarak etiketlenmiştir. Bu alt alanda en merkezi ve en çok atıf alan yayın Denning (2003) olmuştur. Bu çalışmada Peter J. Denning, bilgisayar bilimleri alanının temel ilkelerini belirlemeye çalışmıştır.…”

“…Şekil 2'de görülebileceği gibi Hambrusch ve diğerleri (2009) bilgisayar bilimlerinin temel ilkelerinin tartışıldığı alt alan #2 ile giriş düzeyi programlama, öğrenmeye ilişkin çalışmalardan oluşan alt alan #4 arasında köprü görevi görmektedir. Denning (2003) ise bu alt alanı, hesaplamalı düşünmenin tanımı ve topluma faydasının tartışıldığı alt alan #0'a bağlamaktadır. Bu alt alanın grafikteki yerleşimi incelendiğinde merkezinde Wing'in (2006) yer aldığı alt alan #0 ile yakın ancak diğer alt alanlara uzak şekilde konumlandığı görülmektedir.…”

Emerging technologies as pedagogical tools for teaching and learning science: A literature review

“…However, no explicit definition is given, and the very limited information provided suggests algorithmic problem solving. Such a lack of information is problematic given the philosophical difficulties of defining the “computational paradigm” (Denning, ).…”