dc.contributor.author | Buehler, Markus | en_US |
dc.contributor.author | Thonhauser, Timo | en_US |
dc.contributor.author | Radovitzky, Raúl | en_US |
dc.coverage.temporal | Spring 2008 | en_US |
dc.date.issued | 2008-06 | |
dc.identifier | 3.021J-Spring2008 | |
dc.identifier | local: 3.021J | |
dc.identifier | local: 1.021J | |
dc.identifier | local: 10.333J | |
dc.identifier | local: 18.361J | |
dc.identifier | local: 22.00J | |
dc.identifier | local: IMSCP-MD5-ab93faff4c1ff99e3418522571b0e254 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/74612 | |
dc.description.abstract | This course explores the basic concepts of computer modeling and simulation in science and engineering. We'll use techniques and software for simulation, data analysis and visualization. Continuum, mesoscale, atomistic and quantum methods are used to study fundamental and applied problems in physics, chemistry, materials science, mechanics, engineering, and biology. Examples drawn from the disciplines above are used to understand or characterize complex structures and materials, and complement experimental observations. | en_US |
dc.language | en-US | en_US |
dc.relation | | en_US |
dc.rights.uri | Usage Restrictions: This site (c) Massachusetts Institute of Technology 2012. 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") unless otherwise noted. 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.subject | computer modeling | en_US |
dc.subject | discrete particle system | en_US |
dc.subject | continuum | en_US |
dc.subject | continuum field | en_US |
dc.subject | statistical sampling | en_US |
dc.subject | data analysis | en_US |
dc.subject | visualization | en_US |
dc.subject | quantum | en_US |
dc.subject | quantum method | en_US |
dc.subject | chemical | en_US |
dc.subject | molecular dynamics | en_US |
dc.subject | Monte Carlo | en_US |
dc.subject | mesoscale | en_US |
dc.subject | continuum method | en_US |
dc.subject | computational physics | en_US |
dc.subject | chemistry | en_US |
dc.subject | mechanics | en_US |
dc.subject | materials science | en_US |
dc.subject | biology | en_US |
dc.subject | applied mathematics | en_US |
dc.subject | fluid dynamics | en_US |
dc.subject | heat | en_US |
dc.subject | fractal | en_US |
dc.subject | evolution | en_US |
dc.subject | melting | en_US |
dc.subject | gas | en_US |
dc.subject | structural mechanics | en_US |
dc.subject | FEM | en_US |
dc.subject | finite element | en_US |
dc.title | 3.021J / 1.021J / 10.333J / 18.361J / 22.00J Introduction to Modeling and Simulation, Spring 2008 | en_US |
dc.title.alternative | Introduction to Modeling and Simulation | en_US |