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Living In the KnowlEdge Society Workshop 2 - NCA&T Living In the KnowlEdge Society (LIKES) North Carolina A & T Santa Clara University Villanova University Virginia Tech NSF CPATH: CCF-0722259, 0722276,0722289, and 0752865
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Living In the KnowlEdge Society Workshop 2 - NCA&T LIKES Vision The Knowledge Society requires improvements in the computing competencies and skills of people in all disciplines. Vision: To build a community that will lead the way to make systemic changes in how computing concepts are taught in both computing-related disciplines and the disciplines of the broader workforce and society.
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Living In the KnowlEdge Society Workshop 2 - NCA&T Key Concepts, Ideas Algorithm Modelling (Active) Animation (Passive User) Computational methods Research (Graduate Education, physics and CS)
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Living In the KnowlEdge Society Workshop 2 - NCA&T Computing Concepts (bold relevant concepts) Logic Algorithms & Problem Solving Programming Comm. & Networking HCI Graphics & Visualization Knowledge Rep., Retrieval, & Storage Database & Modeling IP, Privacy, & Civil Liberties Computer Literacy
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Living In the KnowlEdge Society Workshop 2 - NCA&T Key Concepts How computing concepts apply? (breakout 3) Algorithms – Problem Solving Methodology Active Modelling – Analytical, Computational Modelling to expand scope of problems, Visualization, conceptual understanding, Quantum, Statistical and Thermal Physics, Chaos Animation - Generating conceptual understanding, educational effectiveness Computational Methods – Numerical Algorithms: error analysis and correction, Algorithm development for complex systems.
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Living In the KnowlEdge Society Workshop 2 - NCA&T Key Concepts What are the Ideal Implementations? Algorithms Throughout the study of physics Developing the skills to evaluate algorithms Modelling Development of computational modelling to expand scope of problems and understanding Implementation: Computational Physics Animation Generating conceptual understanding Educational impact of animations Implementation: Introductory Courses (Non-Engineering Physics) Computational Methods Numerical Algorithms- appropriate, error analysis & correction Implementation: Computational Physics
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Living In the KnowlEdge Society Workshop 2 - NCA&T Graduate Level Physics Advanced Real-Time Computing Data acquisition and handling. Complex systems High Performance Computing (Cluster Computing)
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Living In the KnowlEdge Society Workshop 2 - NCA&T Summary We all agreed that algorithms and problem solving were common areas of interest between the two disciplines: Physics and Computer Science. At the Graduate Level or in the special area of Computational Physic, there were significant common areas of interest. Some of these areas include: Modelling Visualization High Performance Computing (Clusters, etc) Peta-Byte Storage and Retrieval Error Analysis and Correction
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Living In the KnowlEdge Society Workshop 2 - NCA&T Group Members James Esterline, Duke University Bruce Mason, University of Oklahoma Michael Kovash, University of Kentucky Ed Carr, NC A&T
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