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dc.contributor.authorRothman, Danielen_US
dc.coverage.temporalFall 2008en_US
dc.date.issued2008-12
dc.identifier12.086-Fall2008
dc.identifierlocal: 12.086
dc.identifierlocal: 12.586
dc.identifierlocal: IMSCP-MD5-98ccd2cc9a64cf8f3d06a77f60cc37fe
dc.identifier.urihttp://hdl.handle.net/1721.1/75806
dc.description.abstractThis course provides an introduction to the study of environmental phenomena that exhibit both organized structure and wide variability—i.e., complexity. Through focused study of a variety of physical, biological, and chemical problems in conjunction with theoretical models, we learn a series of lessons with wide applicability to understanding the structure and organization of the natural world. Students will also learn how to construct minimal mathematical, physical, and computational models that provide informative answers to precise questions.en_US
dc.languageen-USen_US
dc.rights.uriUsage 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.subjectriver networksen_US
dc.subjectdrainage basinsen_US
dc.subjectpercolation theoryen_US
dc.subjectfractalsen_US
dc.subjectscalingen_US
dc.subjectuniversalityen_US
dc.subjectecological dynamicsen_US
dc.subjectmetabolic scalingen_US
dc.subjectfood websen_US
dc.subjectbiogeochemical cyclesen_US
dc.title12.086 / 12.586 Modeling Environmental Complexity, Fall 2008en_US
dc.title.alternativeModeling Environmental Complexityen_US


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