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Angela B. Shiflet - One of the best experts on this subject based on the ideXlab platform.

  • ICCS - The Art of Teaching Computational Science
    Procedia Computer Science, 2017
    Co-Authors: Alfredo Tirado-ramos, Angela B. Shiflet
    Abstract:

    Abstract The Workshop on Teaching Computational Science (WTCS) presented innovative research work describing innovations in teaching Computational Science in its various aspects, e.g. modeling and simulation, high-performance and large-data environments, during the International Conference in Computational Science 2017. This editorial provides an introduction to the work presented during the sessions.

  • ICCS - The Fifth Workshop on Teaching Computational Science (WTCS 2011)
    Procedia Computer Science, 2011
    Co-Authors: Alfredo Tirado-ramos, Angela B. Shiflet
    Abstract:

    Abstract The Fifth Workshop on Teaching Computational Science, within the International Conference on Computational Science, provides a platform for discussing innovations in teaching Computational Sciences at all levels and contexts of higher education. This editorial provides an introduction to the work presented during the sessions.

  • ICCS - Fourth Workshop on Teaching Computational Science (WTCS 2010)
    Procedia Computer Science, 2010
    Co-Authors: Alfredo Tirado-ramos, Angela B. Shiflet
    Abstract:

    Abstract The Workshop on Teaching Computational Science (WTCS), taking place within the International Conference on Computational Science (ICCS), is a platform for discussing innovations in teaching Computational Science in its various aspects, e.g. modeling and simulation, at all levels and contexts. Innovations may cover the context of formal courses or self-directed learning, involving, for example, curriculum development, introductory programming, service courses, specialist undergraduate and postgraduate topics, as well as industry-related short courses. This editorial provides an introduction to the work presented during the sessions in Amsterdam.

  • ICCS (2) - Third Workshop on Teaching Computational Science (WTCS 2009)
    Lecture Notes in Computer Science, 2009
    Co-Authors: Alfredo Tirado-ramos, Angela B. Shiflet
    Abstract:

    The Third Workshop on Teaching Computational Science, within the International Conference on Computational Science, provides a platform for discussing innovations in teaching Computational Sciences at all levels and contexts of higher education. This editorial provides an introduction to the work presented during the sessions.

  • ICCS (2) - An Undergraduate Computational Science Curriculum
    Computational Science – ICCS 2008, 2008
    Co-Authors: Angela B. Shiflet, George W. Shiflet
    Abstract:

    Wofford College instituted one of the first undergraduate programs in Computational Science, the Emphasis in Computational Science (ECS). Besides programming, data structures, and calculus, ECS students take two Computational Science courses (Modeling and Simulation for the Sciences, Data and Visualization) and complete a summer internship involving computation in the Sciences. Materials written for the modeling and simulation course and developed with funding from National Science Foundation served as a basis the first textbook designed specifically for an introductory course in the Computational Science and engineering curriculum. The successful ECS has attracted a higher percentage of females than in most computer Science curricula. The SIAM Working Group on Undergraduate Computational Science and Engineering Education summarized features of Wofford's ECS and other Computational Science programs. Besides its established curriculum, Wofford has incorporated Computational Science in other courses, such as in a sequence of three microbiology laboratories on modeling the spread of disease.

Alfredo Tirado-ramos - One of the best experts on this subject based on the ideXlab platform.

Chih Jeng Kenneth Tan - One of the best experts on this subject based on the ideXlab platform.

  • Transactions on Computational Science XXV - Transactions on Computational Science XXV
    Lecture Notes in Computer Science, 2015
    Co-Authors: Marina L. Gavrilova, Chih Jeng Kenneth Tan, Khalid Saeed, Nabendu Chaki, Soharab Hossain Shaikh
    Abstract:

    The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary Science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of Computational Science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geoSciences, from mathematics to software architecture, presenting verifiable Computational methods, findings and solutions and enabling industrial users to apply techniques of leading-edge, large-scale, high performance Computational methods. This, the 25th issue of the Transactions on Computational Science journal, consists of two parts. Part I, which is guest edited by Khalid Saeed, Nabendu Chaki and Soharab Hossain Shaikh, covers the areas of computer vision, image processing for biometric security, information fusion, and Kinect activity recognition. The papers in Part II focus on optimization through novel methods for data fusion, clustering in WSN, fault-tolerance, probability, weight assignment and risk analysis

  • Transactions on Computational Science XVII - Transactions on Computational Science XVII
    Lecture Notes in Computer Science, 2013
    Co-Authors: Marina Gavrilova, Chih Jeng Kenneth Tan
    Abstract:

    The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary Science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of Computational Science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geoSciences, from mathematics to software architecture, presenting verifiable Computational methods, findings, and solutions and enabling industrial users to apply techniques of leading-edge, large-scale, high performance Computational methods. The 17th issue of the Transactions on Computational Science journal consists of two parts. The first part is comprised of four papers, spanning the areas of robotics and augmented reality, computer game evaluation strategies, cognitive perception in crowd control simulation, and reversible processor design using look-ahead. The second part consists of five papers covering the topics of secure congestion adaptive routing, cryptographic schemes for wireless sensor networks, intersection attacks on anonymity, and reliable message delivery in Vehicular Ad Hoc Networks (VANET).

  • Transactions on Computational Science V: Special Issue on Cognitive Knowledge Representation
    2009
    Co-Authors: Marina L. Gavrilova, Yingxu Wang, Chih Jeng Kenneth Tan, Keith C. C. Chan
    Abstract:

    The LNCS journal "Transactions on Computational Science" reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary Science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of Computational Science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geoSciences, from mathematics to software architecture, presenting verifiable Computational methods, findings and solutions and enabling industrial users to apply techniques of leading-edge, large-scale, high performance Computational methods. The fifth volume of the "Transactions on Computational Science" journal, edited by Yingxu Wang and Keith C.C. Chan, is devoted to the subject of cognitive knowledge representation. This field of study focuses on the internal knowledge representation mechanisms of the brain and how these can be applied to computer Science and engineering. The issue includes the latest research results in internal knowledge representation at the logical, functional, physiological, and biological levels and describes their impacts on computing, artificial intelligence, and Computational intelligence.

Marina L. Gavrilova - One of the best experts on this subject based on the ideXlab platform.

  • Computational Science and Its Applications -- ICCSA 2015 - Computational Science and Its Applications -- ICCSA 2015 : 15th International Conference, Banff, AB, Canada, June 22-25, 2015, Proceedings, Part III
    Lecture Notes in Computer Science, 2015
    Co-Authors: Osvaldo Gervasi, Marina L. Gavrilova, Beniamino Murgante, Sanjay Misra, Ana Maria A. C. Rocha, Carmelo Maria Torre, David Taniar, Bernady O. Apduhan
    Abstract:

    The five-volume set LNCS 9155-9159 constitutes the refereed proceedings of the 15th International Conference on Computational Science and Its Applications, ICCSA 2015, held in Banff, AB, Canada, in June 2015. The 232 revised full papers presented in 22 workshops and a general track were carefully reviewed and selected from 780 initial submissions for inclusion in this volume. They cover various areas in Computational Science ranging from Computational Science technologies to specific areas of Computational Science such as Computational geometry and security

  • Transactions on Computational Science XXV - Transactions on Computational Science XXV
    Lecture Notes in Computer Science, 2015
    Co-Authors: Marina L. Gavrilova, Chih Jeng Kenneth Tan, Khalid Saeed, Nabendu Chaki, Soharab Hossain Shaikh
    Abstract:

    The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary Science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of Computational Science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geoSciences, from mathematics to software architecture, presenting verifiable Computational methods, findings and solutions and enabling industrial users to apply techniques of leading-edge, large-scale, high performance Computational methods. This, the 25th issue of the Transactions on Computational Science journal, consists of two parts. Part I, which is guest edited by Khalid Saeed, Nabendu Chaki and Soharab Hossain Shaikh, covers the areas of computer vision, image processing for biometric security, information fusion, and Kinect activity recognition. The papers in Part II focus on optimization through novel methods for data fusion, clustering in WSN, fault-tolerance, probability, weight assignment and risk analysis

  • Transactions on Computational Science V: Special Issue on Cognitive Knowledge Representation
    2009
    Co-Authors: Marina L. Gavrilova, Yingxu Wang, Chih Jeng Kenneth Tan, Keith C. C. Chan
    Abstract:

    The LNCS journal "Transactions on Computational Science" reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary Science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of Computational Science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geoSciences, from mathematics to software architecture, presenting verifiable Computational methods, findings and solutions and enabling industrial users to apply techniques of leading-edge, large-scale, high performance Computational methods. The fifth volume of the "Transactions on Computational Science" journal, edited by Yingxu Wang and Keith C.C. Chan, is devoted to the subject of cognitive knowledge representation. This field of study focuses on the internal knowledge representation mechanisms of the brain and how these can be applied to computer Science and engineering. The issue includes the latest research results in internal knowledge representation at the logical, functional, physiological, and biological levels and describes their impacts on computing, artificial intelligence, and Computational intelligence.

Ponnadurai Ramasami - One of the best experts on this subject based on the ideXlab platform.