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12.086 / 12.586 Modeling Environmental Complexity, Fall 2011

Author(s)
Rothman, Daniel
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Download12-086-fall-2011/contents/index.htm (33.71Kb)
Alternative title
Modeling Environmental Complexity
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Usage Restrictions: This site (c) Massachusetts Institute of Technology 2015. 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. Usage Restrictions: Attribution-NonCommercial-ShareAlike 3.0 Unported http://creativecommons.org/licenses/by-nc-sa/3.0/
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Abstract
This 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.
Date issued
2011-12
URI
http://hdl.handle.net/1721.1/99739
Department
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Other identifiers
12.086-Fall2011
local: 12.086
local: 12.586
local: IMSCP-MD5-b6d1fee9f994614c582732f403fd90e5
Keywords
river networks, drainage basins, percolation theory, fractals, universality, ecological dynamics, metabolic scaling, food webs, biogeochemical cycles

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