Computing as a discipline

Denning, Peter J.; Comer, Douglas E.; Gries, David; Mulder, Michael C.; Tucker, Allan; Turner, A. Joe; Young, Paul R.

doi:10.1109/2.19833

Cited by 254 publications

(117 citation statements)

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“…As the newest of nine core areas in the computer curriculum [7][27], Humancomputer interaction (HCI) has been developing its methods for undergraduate HCI education for over a decade. The HCI community acknowledges that real examples are the best way to introduce undergraduates to HCI.…”

Section: Resultsmentioning

confidence: 99%

Support of Case-Based Authentic Learning Activities: A Collaborative Case Commenting Tool and a Collaborative Case Builder

Xiao

Carroll

Clemson

et al. 2008

Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008)

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Cases are widely used in professional education to engage learners with examples of real world practices. Collaboration in casebased learning can add to the authenticity of the experience by encouraging learners to synthesize multiple perspectives. In this paper, we present some of our experiences in collaborative case-based learning in the context of a usability engineering (UE) course. The work reported here is part of an ongoing project designing UE cases and learning activities that use them; more recently we have begun to explore the role of collaborative activities and tools in casebased learning. We describe the activities that were developed and fielded in two different UE courses, and two collaborative tools created to support these activities -a collaborative case browser and a collaborative case builder. Students were positive about both types of collaborative activities and offered suggestions for how to enhance effectiveness in the future.

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Section: Resultsmentioning

confidence: 99%

Support of Case-Based Authentic Learning Activities: A Collaborative Case Commenting Tool and a Collaborative Case Builder

Xiao

Carroll

Clemson

et al. 2008

Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008)

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“…At the end of the 1980s the famous report “Computing as a discipline” by Denning et al [42] raised modeling as one of the three cornerstones of computing. In that report, experiments played a role similar to their role in natural sciences.…”

Section: Experimentation In Computingmentioning

confidence: 99%

“…The view that computing is an inseparable combination of three very different intellectual traditions—theory, engineering, and empirical science [42]—complicates many debates about computing. One such debate is the “experimental computer science” debate.…”

Section: Introductionmentioning

confidence: 99%

Experiments in Computing: A Survey

Tedre

Moisseinen

2014

The Scientific World Journal

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Experiments play a central role in science. The role of experiments in computing is, however, unclear. Questions about the relevance of experiments in computing attracted little attention until the 1980s. As the discipline then saw a push towards experimental computer science, a variety of technically, theoretically, and empirically oriented views on experiments emerged. As a consequence of those debates, today's computing fields use experiments and experiment terminology in a variety of ways. This paper analyzes experimentation debates in computing. It presents five ways in which debaters have conceptualized experiments in computing: feasibility experiment, trial experiment, field experiment, comparison experiment, and controlled experiment. This paper has three aims: to clarify experiment terminology in computing; to contribute to disciplinary self-understanding of computing; and, due to computing's centrality in other fields, to promote understanding of experiments in modern science in general.

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“…Defined narrowly, it is the systematic study of algorithmic processes that describe and transform information: their theory, analysis, design, efficiency, implementation, and application. The fundamental question underlying all computing is ‘What can be (efficiently) automated?’ (Denning et al 1989). In essence, a Turing machine is a very simple computer.…”

Section: Introductionmentioning

confidence: 99%

Computing with bacterial constituents, cells and populations: from bioputing to bactoputing

et al. 2011

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The relevance of biological materials and processes to computing—aliasbioputing—has been explored for decades. These materials include DNA, RNA and proteins, while the processes include transcription, translation, signal transduction and regulation. Recently, the use of bacteria themselves as living computers has been explored but this use generally falls within the classical paradigm of computing. Computer scientists, however, have a variety of problems to which they seek solutions, while microbiologists are having new insights into the problems bacteria are solving and how they are solving them. Here, we envisage that bacteria might be used for new sorts of computing. These could be based on the capacity of bacteria to grow, move and adapt to a myriad different fickle environments both as individuals and as populations of bacteria plus bacteriophage. New principles might be based on the way that bacteria explore phenotype space via hyperstructure dynamics and the fundamental nature of the cell cycle. This computing might even extend to developing a high level language appropriate to using populations of bacteria and bacteriophage. Here, we offer a speculative tour of what we term bactoputing, namely the use of the natural behaviour of bacteria for calculating.

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Computing as a discipline

Cited by 254 publications

References 0 publications

Support of Case-Based Authentic Learning Activities: A Collaborative Case Commenting Tool and a Collaborative Case Builder

Support of Case-Based Authentic Learning Activities: A Collaborative Case Commenting Tool and a Collaborative Case Builder

Experiments in Computing: A Survey

Computing with bacterial constituents, cells and populations: from bioputing to bactoputing

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