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eScience Workshop 12/08 eScience Workshop 12/08 © Rubin Landau, CPUG Computational (Physics) Thinking Rubin H Landau, Founding Dir Computational Physics for Undergraduates BS Degree Program @ Oregon State University Prior Support: NSF (CCLI, CI-Team/EPIC), OSU, MSR
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eScience Workshop 12/08 eScience Workshop 12/08 CS and CP computational think differently Edu really computational think differently Balanced knowledge: CS +App Math + “Science” Problems no respect discipline boundaries Multi tools, techniques to solve problems “What’s a good P like you talking about algorithms?” Grow richer fields, communities (Geo Cybenko) iff learn each other’s languages & trade in good faith Take risks to face unknown, new Learn multiple subjects in context More efficient & effective Computational Physics Thinking ( Ed ) (meaningful clichés)
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eScience Workshop 12/08 eScience Workshop 12/08 Computational Physics Thinking Realistic not just analytic solutions “approximate” more truthful than “exact” solutions Complex not just simple systems For C Physics broader view of Science New/excluded subjects MD Nonlinear science: chaos, fractals Fluids: shocks, solitons Signal process: wavelets, DFT, Prin Components Integral eqtns ( linear libes); scattering Space-time correlated systems; e wave packets Many body theories Parallel solutions require parallelizable theories Imbued Visualization @ all stages
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eScience Workshop 12/08 eScience Workshop 12/08 More Computational S Think What is reality, scientific truth? Abstracting in Math, CS, S Group theory meets programming Think, visualize in multiple dimensions, I e.g. L = I ω Complex numbers (abstract space) Step towards intellectual maturity (Piaget) Less abstract Ed for all needs reversal Inclusive yet still teach what’s needed E.g. Google Multi-D info Parallel files & compute clouds No fear of compiled languages Conversant in several No fear of Looking inside black box Software, algorithms, hardware Memory hierarchy, tuning
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eScience Workshop 12/08 eScience Workshop 12/08 © Rubin Landau, CPUG Evidence for (Science Ed) RHL Survey (Y&L) CSE, CP ~ balance Small sample Stereotypes PH Ed: imbalance? PHYSPHYS CSCS MTHMTH OtherOther
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eScience Workshop 12/08 eScience Workshop 12/08 © Rubin Landau, CPUG Curriculum vs Comp Physics Curriculum O.Y. Problem solving (why do P, what P do) Learn by doing individual Projects Over-shoulder teach (lectures?) CS + Math + physics in context More efficient, effective approach to science Ed ok # “physics” courses; yet many new subjects Compiled language see algorithm (eqtns) bare bone codes given “I am not a bigot!” (packages) equation solved (math) numerical method used code listing results (graph/table) critical discussion (meet the boss) Multi ≠ Inter
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© Rubin Landau, CPUG Real computation across the curriculum Not 1 course, not just our view Use what’s available
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eScience Workshop 12/08 eScience Workshop 12/08 Make into Content Map!
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eScience Workshop 12/08 eScience Workshop 12/08 © Rubin Landau, CPUG 1. Challenging for some students (intro*, multidisciplinary) 2. Unhappy with grade if just ran code, no thought, no time 3. Students often thankful when/that over (career) 4. Tears, emotion; human-C interaction = complex 5. Excitement; human-C interaction = complex, emotional 6. “This combo is what I interested in, but had to pick 1” 7. “Why have we studied fluids only in our freshman year?” 8. “Now I know what is dynamic in thermodynamics” 9. “Gave me an entirely new view of integration, series, ” 10. “Now Laplace’s equation makes sense” 11. “I was up all night.” “I was up all night.” 12. Chaotic scattering: several MS, 1 Ph D thesisChaotic scattering: 13. “MD: way I thought simulations should be” 14. Great prep physics, astroP, CS, ocean, bioP, brain 15. Women: didn’t know liked C, problem solving How Does this Work?
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eScience Workshop 12/08 eScience Workshop 12/08 © Rubin Landau, CPUG © Rubin Landau, CPUG Two Lower-Division Courses
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eScience Workshop 12/08 eScience Workshop 12/08 © Rubin Landau, CPUG © Rubin Landau, CPUG Contents of Upper-Division Courses
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