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dc.contributor.authorYip, Sidneyen_US
dc.contributor.authorPowell, Adam C.en_US
dc.contributor.authorBazant, Martin Z.en_US
dc.contributor.authorCarter, W. Craigen_US
dc.contributor.authorMarzari, Nicolaen_US
dc.contributor.authorRosales, Rodolfoen_US
dc.contributor.authorWhite, Jacob K.en_US
dc.contributor.authorCao, Jianshuen_US
dc.contributor.authorHadjiconstantinou, Nicolas G (Nicholas George)en_US
dc.contributor.authorMirny, Leonid A.en_US
dc.contributor.authorTrout, Bernhardt L.en_US
dc.contributor.authorUlm, F.-J. (Franz-Josef)en_US
dc.coverage.temporalSpring 2002en_US
dc.date.issued2002-06
dc.identifier22.00J-Spring2002
dc.identifierlocal: 22.00J
dc.identifierlocal: 1.021J
dc.identifierlocal: 3.021J
dc.identifierlocal: 10.333J
dc.identifierlocal: 18.361J
dc.identifierlocal: 2.030J
dc.identifierlocal: HST.558
dc.identifierlocal: IMSCP-MD5-17568691ed2fe71a9147c3563480b7f2
dc.identifier.urihttp://hdl.handle.net/1721.1/35256
dc.description.abstractBasic concepts of computer modeling in science and engineering using discrete particle systems and continuum fields. Techniques and software for statistical sampling, simulation, data analysis and visualization. Use of statistical, quantum chemical, molecular dynamics, Monte Carlo, mesoscale and continuum methods to study fundamental physical phenomena encountered in the fields of computational physics, chemistry, mechanics, materials science, biology, and applied mathematics. Applications drawn from a range of disciplines to build a broad-based understanding of complex structures and interactions in problems where simulation is on equal-footing with theory and experiment. Term project allows development of individual interest. Student mentoring by a coordinated team of participating faculty from across the Institute.en_US
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dc.languageen-USen_US
dc.rights.uriUsage Restrictions: This site (c) Massachusetts Institute of Technology 2003. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license"). The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions.en_US
dc.subjectQuantumen_US
dc.subjectModelingen_US
dc.subjectvisualizationen_US
dc.subjectdata analysisen_US
dc.subjectsimulationen_US
dc.subjectstatistical samplingen_US
dc.subject22.00Jen_US
dc.subject1.021Jen_US
dc.subject3.021Jen_US
dc.subject10.333Jen_US
dc.subject18.361Jen_US
dc.subject2.030Jen_US
dc.subjectHST.558en_US
dc.subject22.00en_US
dc.subject1.021en_US
dc.subject3.021en_US
dc.subject10.333en_US
dc.subject18.361en_US
dc.subject2.030en_US
dc.subjectSimulation methodsen_US
dc.subjectMathematical modelsen_US
dc.title22.00J / 1.021J / 3.021J / 10.333J / 18.361J / 2.030J / HST.558 Introduction to Modeling and Simulation, Spring 2002en_US
dc.title.alternativeIntroduction to Modeling and Simulationen_US
dc.typeLearning Object
dc.contributor.departmentMassachusetts Institute of Technology. Department of Nuclear Science and Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technology
dc.contributor.departmentMassachusetts Institute of Technology. Department of Materials Science and Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematics
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering


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