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 , , , and

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.

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)

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

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.

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

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)

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

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