Relevant bibliographies by topics / Computational practice

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Computational practice'

Author: Grafiati
Published: 7 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Computational practice"

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Sowder, Judith. "Research into Practice: Developing Understanding of Computational Estimation." Arithmetic Teacher 36, no. 5 (1989): 25–27. http://dx.doi.org/10.5951/at.36.5.0025.

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Many recent documents call for a renewed emphasis on computational estimation in the classroom. However, researchers are only now giving attention to how students learn computational estimation. The research described here focused on how children develop the ability to estimate computations. We begin with a brief description of the theory on which the research was based, describe the research study itself, and finally discuss the study's implications and extensions into the classroom.
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Lampert, Magdalene. "Research into Practice: Arithmetic as Problem Solving." Arithmetic Teacher 36, no. 7 (1989): 34–36. http://dx.doi.org/10.5951/at.36.7.0034.

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Teachers often feel torn, especially in upper elementary school mathematics classes, between spending time on problem-solving work that will get students to understand mathematics and spending time on developing computational skills. The conflict is especially strong because the computational skills in the curriculum at this level are complex: “long” multiplication and division, relating fractions to decimals and percents, and operations on fractions. The procedures involved in doing these computations involve many steps, and students often have difficulty remembering what to do and in what or
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DONG, ANDY. "Special Issue: Design computing and cognition." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 19, no. 4 (2005): 227–28. http://dx.doi.org/10.1017/s0890060405050158.

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The field of research in design computing and cognition focuses on computational theories and systems that enact design. Design computing and cognition produces a unifying framework to model and explain design beyond the description of “design computing and cognition,” as in “design computing” and “design cognition” as two cognate disciplines. Research in design computing and cognition recognizes not only the essential relationship between human cognitive processes as models of computation but also how models of computation inspire conceptual realizations of human cognition in design. The arti
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Cases Martín, Ignacio, and Alfonso Lacadena García-Gallo. "A Computational Approach to Scribal Practice." Revista Española de Antropología Americana 49, Especial (2019): 209–24. http://dx.doi.org/10.5209/reaa.64967.

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The study of the construction of social meaning in ancient Maya communities of Mesoamerica poses a variety of methodological problems in historical sociolinguistics due to the reliance on written records by means of a writing system that exhibits variation itself. While variation in writing systems has been previously studied in terms of diachronic shifts and dialectal variation, systematic approaches still remain elusive. This paper explores new avenues for the computational extraction of sociolinguistic features, resulting in the automatic extraction of useful sociolinguistic information fro
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Lee, Irene, Fred Martin, Jill Denner, et al. "Computational thinking for youth in practice." ACM Inroads 2, no. 1 (2011): 32–37. http://dx.doi.org/10.1145/1929887.1929902.

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Khatibi, Rahman. "Some Issues in Computational Hydraulics Practice." Journal of Hydraulic Engineering 127, no. 6 (2001): 438–42. http://dx.doi.org/10.1061/(asce)0733-9429(2001)127:6(438).

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Bruel, Jean-Michel, Benoit Combemale, Ileana Ober, and Hélène Raynal. "MDE in Practice for Computational Science." Procedia Computer Science 51 (2015): 660–69. http://dx.doi.org/10.1016/j.procs.2015.05.182.

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Reddy, BL. "Computational Challenges in Statistical Outcome of Teaching Learning Practice: A Scientific Review." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (2020): 2603–6. http://dx.doi.org/10.5373/jardcs/v12sp7/20202395.

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Duncan, David R., and Bonnie H. Litwiller. "Ideas." Arithmetic Teacher 33, no. 7 (1986): 26–32. http://dx.doi.org/10.5951/at.33.7.0026.

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To maintain students' computational skills, practice is needed. Students find practice activities more in teresting if they are provided in new and novel situations. It's a bonus if students discover number patterns as a result of the computations.
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Maley, Carlo C. "DNA Computation: Theory, Practice, and Prospects." Evolutionary Computation 6, no. 3 (1998): 201–29. http://dx.doi.org/10.1162/evco.1998.6.3.201.

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L. M. Adleman launched the field of DNA computing with a demonstration in 1994 that strands of DNA could be used to solve the Hamiltonian path problem for a simple graph. He also identified three broad categories of open questions for the field. First, is DNA capable of universal computation? Second, what kinds of algorithms can DNA implement? Third, can the error rates in the manipulations of the DNA be controlled enough to allow for useful computation? In the two years that have followed, theoretical work has shown that DNA is in fact capable of universal computation. Furthermore, algorithms
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Dissertations / Theses on the topic "Computational practice"

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Barbaresi, Mattia. "Computational mechanics: from theory to practice." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15649/.

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In the last fifty years, computational mechanics has gained the attention of a large number of disciplines, ranging from physics and mathematics to biology, involving all the disciplines that deal with complex systems or processes. With ϵ-machines, computational mechanics provides powerful models that can help characterizing these systems. To date, an increasing number of studies concern the use of such methodologies; nevertheless, an attempt to make this approach more accessible in practice is lacking yet. Starting from this point, this thesis aims at investigating a more practical approach t
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Kelly, David. "Computational mechanics in practice : mathematical adaptions and experimental applications." Thesis, University of Bristol, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.570852.

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The definition and quantification of complexity is a source of debate. A promising answer, from Crutch field, Shalizi and co-workers, identifies complexity with the amount of information required to optimally predict the future of a process. Computational mechanics computes this quantity for discrete time series; quantifying the complexity and generating minimal, optimally predictive models. Here we adapt and apply these methods to two very different problems. First, we extend computational mechanics to continuous data which cluster around discrete values. This is applied to the analysis of si
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Garg, Shilpa [Verfasser], and Tobias [Akademischer Betreuer] Marschall. "Computational haplotyping : theory and practice / Shilpa Garg ; Betreuer: Tobias Marschall." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2018. http://d-nb.info/116249607X/34.

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Joyce, Sam. "Performance driven design systems in practice." Thesis, University of Bath, 2016. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687303.

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This thesis is concerned with the application of computation in the context of professional architectural practice and specifically towards defining complex buildings that are highly integrated with respect to design and engineering performance. The thesis represents applied research undertaken whilst in practice at Foster + Partners. It reviews the current state of the art of computational design techniques to quickly but flexibly model and analyse building options. The application of parametric design tools to active design projects is discussed with respect to real examples as well as metho
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Harding, John. "Meta-parametric design : developing a computational approach for early stage collaborative practice." Thesis, University of Bath, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.646138.

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Computational design is the study of how programmable computers can be integrated into the process of design. It is not simply the use of pre-compiled computer aided design software that aims to replicate the drawing board, but rather the development of computer algorithms as an integral part of the design process. Programmable machines have begun to challenge traditional modes of thinking in architecture and engineering, placing further emphasis on process ahead of the final result. Just as Darwin and Wallace had to think beyond form and inquire into the development of biological organisms to
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Tsoukalas, Kyriakos. "On Affective States in Computational Cognitive Practice through Visual and Musical Modalities." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/104069.

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Learners' affective states correlate with learning outcomes. A key aspect of instructional design is the choice of modalities by which learners interact with instructional content. The existing literature focuses on quantifying learning outcomes without quantifying learners' affective states during instructional activities. An investigation of how learners feel during instructional activities will inform the instructional systems design methodology of a method for quantifying the effects of individually available modalities on learners' affect. The objective of this dissertation is to investi
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Hudson, Roland. "Strategies for parametric design in architecture : an application of practice led research." Thesis, University of Bath, 2010. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.524059.

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A new specialist design role is emerging in the construction industry. The primary task related to this role is focused on the control, development and sharing of geometric information with members of the design team in order to develop a design solution. Individuals engaged in this role can be described as a parametric designers. Parametric design involves the exploration of multiple solutions to architectural design problems using parametric models. In the past these models have been defined by computer programs, nowcommercially available parametric software provides a simpler means of creat
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Van, der Beek Nick. "From practice to theory : computational studies on fluorescence detection and laser therapy in dermatology." Thesis, University of Wales Trinity Saint David, 2017. http://repository.uwtsd.ac.uk/819/.

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Computational studies on light‐tissue interactions in medical treatment and diagnosis have offered deeper insights in the processes underlying laser treatments and fluorescence measurements. I apply this approach in the study of fluorescence detection and of laser therapy. First, I investigate three methods of fluorescence detection and the reported contrast between healthy skin and malignant tissue. I varied the concentration of haemoglobin in the target, the concentration of melanin in the epidermis, the scattering of light in the skin, the depth at which the target is located in the skin, t
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Selby, Cynthia Collins. "How can the teaching of programming be used to enhance computational thinking skills?" Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/366256/.

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The use of the term computational thinking, introduced in 2006 by Jeanette Wing, is having repercussions in the field of education. The term brings into sharp focus the concept of thinking about problems in a way that can lead to solutions that may be implemented in a computing device. Implementation of these solutions may involve the use of programming languages. This study explores ways in which programming can be employed as a tool to teach computational thinking and problem solving. Data is collected from teachers, academics, and professionals, purposively selected because of their knowled
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Bridge, Catherine. "Computational case-based redesign for people with ability impairment rethinking, reuse and redesign learning for home modification practice /." Connect to full text, 2005. http://hdl.handle.net/2123/707.

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Thesis (Ph. D.)--University of Sydney, 2006.<br>Title from title screen (viewed 30 May 2008). Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Architecture, Design Science and Planning, Faculty of Architecture. Degree awarded 2006; thesis submitted 2005. Includes bibliographical references. Also available in print form.
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Books on the topic "Computational practice"

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Ambos-Spies, Klaus, Benedikt Löwe, and Wolfgang Merkle, eds. Mathematical Theory and Computational Practice. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03073-4.

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Rhodes, N. Computational fluid dynamics in practice. Professional Engineering Pub., 2001.

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Thu, Bui Lam, and Alam Sameer, eds. Multi-objective optimization in computational intelligence: Theory and practice. Information Science Reference, 2008.

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Reusch, Bernd, and Karl-Heinz Temme, eds. Computational Intelligence in Theory and Practice. Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-7908-1831-4.

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Subchan, S. Computational optimal control: Tools and practice. J. Wiley, 2013.

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Schwefel, Hans-Paul. Advances in Computational Intelligence: Theory and Practice. Springer Berlin Heidelberg, 2003.

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missing], [name. Advances in computational intelligence: Theory and practice. Springer, 2003.

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Kacprzyk, Janusz, Vasil Sgurev, and Mincho Hadjiski. Intelligent systems: From theory to practice. Springer Verlag, 2010.

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Favorskaya, Margarita N., Ilia S. Nikitin, and Natalia S. Severina, eds. Advances in Theory and Practice of Computational Mechanics. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8926-0.

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Jain, Lakhmi C., Margarita N. Favorskaya, Ilia S. Nikitin, and Dmitry L. Reviznikov, eds. Advances in Theory and Practice of Computational Mechanics. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2600-8.

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Book chapters on the topic "Computational practice"

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Forrest, A. R. "Computational Geometry in Practice." In Fundamental Algorithms for Computer Graphics. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84574-1_30.

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Martin, Ursula. "Computers, Reasoning and Mathematical Practice." In Computational Logic. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58622-4_9.

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Briganti, Giovanni. "Augmented Medicine: Changing Clinical Practice with Artificial Intelligence." In Computational Biology. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69951-2_14.

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Teixeira, Andreia Sofia, Francisco C. Santos, and Alexandre P. Francisco. "Spanning Edge Betweenness in Practice." In Studies in Computational Intelligence. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30569-1_1.

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Kitzler, Thomas M., and Nathan W. Levin. "Clinical Practice Guidelines in Nephrology." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-27558-6_18.

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Moody, Rebecca, and Lasse Gerrits. "Values in Computational Models Revalued." In Policy Practice and Digital Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12784-2_10.

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Kadijevich, Djordje M. "Cultivating Computational Thinking Through Data Practice." In IFIP Advances in Information and Communication Technology. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23513-0_3.

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Xie, Haiyan, Kelun Wang, and Xiaoju Huang. "Reform and Practice of Computational Intelligence." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27503-6_33.

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Matijevics, István. "Wireless Sensors Networks – Theory and Practice." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03737-5_29.

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Yamaguchi, Takami, Tomoaki Hayasaka, Daisuke Mori, et al. "Towards Computational Biomechanics Based Cardiovascular Medical Practice." In Computational Fluid Dynamics 2002. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-59334-5_4.

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Conference papers on the topic "Computational practice"

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Acquah, Alex, Amanda Barany, Andi Scarola, et al. "Cultural Relevance for Epistemic Practice in High School Computational Data Mining." In 2024 IEEE Frontiers in Education Conference (FIE). IEEE, 2024. https://doi.org/10.1109/fie61694.2024.10893416.

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Gupta, Bhumika, Pralaypati Ta, Keerthi Ram, and Mohanasankar Sivaprakasam. "Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs." In 2024 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE, 2024. http://dx.doi.org/10.1109/cibcb58642.2024.10702112.

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Pham, Quang Hieu, Hoang Ngo, Anh Tuan Luu, and Dat Quoc Nguyen. "Who’s Who: Large Language Models Meet Knowledge Conflicts in Practice." In Findings of the Association for Computational Linguistics: EMNLP 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-emnlp.593.

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Blackwell, A. "Computational thinking and creative practice." In 2012 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2012). IEEE, 2012. http://dx.doi.org/10.1109/vlhcc.2012.6344467.

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Yonezawa, Akinori, Tadashi Watanabe, Mitsuo Yokokawa, Mitsuhisa Sato, and Kimihiko Hirao. "Advanced Institute for Computational Science (AICS)." In State of the Practice Reports. ACM Press, 2011. http://dx.doi.org/10.1145/2063348.2063366.

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Asif, Ali D., Hamza Malik, Chandra Orrill, Ramprasad Balasubramanian, and Shakhnoza Kayumova. "Computational Thinking: Teachers’ Practice of Abstraction." In 18th International Conference of the Learning Sciences (ICLS) 2024. International Society of the Learning Sciences, 2024. http://dx.doi.org/10.22318/icls2024.877800.

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Zhang, Wei, and Zhong-cheng Fan. "Research and Practice on Computer Hardware Curriculums Practical Teaching." In 2nd International Conference on Teaching and Computational Science. Atlantis Press, 2014. http://dx.doi.org/10.2991/ictcs-14.2014.62.

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Prabhu, Prakash, Yun Zhang, Soumyadeep Ghosh, et al. "A survey of the practice of computational science." In State of the Practice Reports. ACM Press, 2011. http://dx.doi.org/10.1145/2063348.2063374.

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"Practice of computational intelligence techniques in engineering." In 2008 6th IEEE International Conference on Industrial Informatics. IEEE, 2008. http://dx.doi.org/10.1109/indin.2008.4618142.

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Nguyen, John, and Brady Peters. "Computational Fluid Dynamics in Building Design Practice." In ACADIA 2020: Distributed Proximities. ACADIA, 2020. http://dx.doi.org/10.52842/conf.acadia.2020.1.574.

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Reports on the topic "Computational practice"

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Heymsfield, Ernie, and Jeb Tingle. State of the practice in pavement structural design/analysis codes relevant to airfield pavement design. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40542.

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An airfield pavement structure is designed to support aircraft live loads for a specified pavement design life. Computer codes are available to assist the engineer in designing an airfield pavement structure. Pavement structural design is generally a function of five criteria: the pavement structural configuration, materials, the applied loading, ambient conditions, and how pavement failure is defined. The two typical types of pavement structures, rigid and flexible, provide load support in fundamentally different ways and develop different stress distributions at the pavement – base interface
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Koh, Teck Seng. Enhancing STEM education through improvisational tinkering and computational thinking: A professional development package for Singapore teachers. National Institute of Education, Nanyang Technological University, Singapore, 2023. https://doi.org/10.32658/10497/27371.

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IMprovisational Tinkering (MT) emphasizes the creative, improvisational nature of problem solving that is the hallmark of MT as an educative, inquiry-based practice in Science, Technology, Engineering and Mathematics (STEM) education. Broadly, Improvisational Tinkering refers to the skill involved in Computational Thinking (CT) refers to MT and CT align with the aspirations of the Singapore education system. The school Science curricula places, at the heart of its curricula framework, the learners to apply themselves meaningfully in the new digital age.
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Looi, Chee-Kit, Longkai Wu, Peter Sen Kee Seow, and Wendy Huang. Researching and developing pedagogies using unplugged and computational thinking approaches for teaching computing in the schools. National Institute of Education, Nanyang Technological University, Singapore, 2020. https://doi.org/10.32658/10497/22601.

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INTRODUCTION/BACKGROUND In 2017, Singapore’s Ministry of Education implemented a new GCE ‘O’ Level Computing curriculum. The new curriculum is a distinct shift from the teaching students on the use of software technology to the development of Computational Thinking skills and programming competencies. Computing thinking skills are associated with problem solving, reasoning and logic skills that all students should develop. As Singapore moves to implement a new curriculum with a greater emphasis on the development of computational thinking and programming, the following are some of the challeng
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Liberman, Babe, and Viki Young. Equity in the Driver’s Seat: A Practice-Driven, Equity-Centered Approach for Setting R&D Agendas in Education. Digital Promise, 2020. http://dx.doi.org/10.51388/20.500.12265/100.

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Education research is too often based on gaps in published research or the niche interests of researchers, rather than the priority challenges faced by schools and districts. As a result, the education studies that researchers design and publish are often not applicable to schools’ most pressing needs. To spur future research to address the specific equity goals of schools and districts, Digital Promise set out to define and test a collaborative process for developing practice-driven, equity-centered R&amp;D agendas. Our process centered on convening a range of education stakeholders to listen
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Brindley, Kyle, Prabhu Khalsa, Thomas Roberts, Sergio Cordova, Matthew Fister, and Scott Ouellette. Engineering Computational Practices. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/1970254.

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de Kemp, E. A., H. A. J. Russell, B. Brodaric, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.

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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model develo
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de Kemp, E. A., H. A. J. Russell, B. Brodaric, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331871.

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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model develo
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Striuk, Andrii M., and Serhiy O. Semerikov. The Dawn of Software Engineering Education. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3671.

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Designing a mobile-oriented environment for professional and practical training requires determining the stable (fundamental) and mobile (technological) components of its content and determining the appropriate model for specialist training. In order to determine the ratio of fundamental and technological in the content of software engineers’ training, a retrospective analysis of the first model of training software engineers developed in the early 1970s was carried out and its compliance with the current state of software engineering development as a field of knowledge and a new the standard
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Tsagris, Michail. Efficient Programming Using R (Free Seminar). Instats Inc., 2024. http://dx.doi.org/10.61700/c9kqzt2u6kzyp1643.

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This one-day seminar delves into efficient programming techniques in R for advanced data analysis, focusing on optimizing code, enhancing computational speed, and ensuring reproducible research practices. Participants will gain practical skills beneficial for diverse fields, improving both the precision and impact of their analytical work.
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Vines, John, Kelly Kirk, Eric Mark, Carrie Spear, and Joel Martin. A Practical Application of the Computational Science Environment (CSE). Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada553972.

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