12.086 / 12.586 Modeling Environmental Complexity, Fall 2011
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 s...
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| Language: | en-US |
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2011
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| Online Access: | http://hdl.handle.net/1721.1/99739 |
| _version_ | 1811080059235074048 |
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| author | Rothman, Daniel |
| author_facet | Rothman, Daniel |
| author_sort | Rothman, Daniel |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T11:25:06Z |
| id | mit-1721.1/99739 |
| institution | Massachusetts Institute of Technology |
| language | en-US |
| last_indexed | 2024-09-23T11:25:06Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | mit-1721.1/997392019-09-12T19:32:21Z 12.086 / 12.586 Modeling Environmental Complexity, Fall 2011 Modeling Environmental Complexity Rothman, Daniel river networks drainage basins percolation theory fractals universality ecological dynamics metabolic scaling food webs biogeochemical cycles 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. 2011-12 12.086-Fall2011 local: 12.086 local: 12.586 local: IMSCP-MD5-b6d1fee9f994614c582732f403fd90e5 http://hdl.handle.net/1721.1/99739 en-US 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/ text/html Fall 2011 |
| spellingShingle | river networks drainage basins percolation theory fractals universality ecological dynamics metabolic scaling food webs biogeochemical cycles Rothman, Daniel 12.086 / 12.586 Modeling Environmental Complexity, Fall 2011 |
| title | 12.086 / 12.586 Modeling Environmental Complexity, Fall 2011 |
| title_full | 12.086 / 12.586 Modeling Environmental Complexity, Fall 2011 |
| title_fullStr | 12.086 / 12.586 Modeling Environmental Complexity, Fall 2011 |
| title_full_unstemmed | 12.086 / 12.586 Modeling Environmental Complexity, Fall 2011 |
| title_short | 12.086 / 12.586 Modeling Environmental Complexity, Fall 2011 |
| title_sort | 12 086 12 586 modeling environmental complexity fall 2011 |
| topic | river networks drainage basins percolation theory fractals universality ecological dynamics metabolic scaling food webs biogeochemical cycles |
| url | http://hdl.handle.net/1721.1/99739 |
| work_keys_str_mv | AT rothmandaniel 1208612586modelingenvironmentalcomplexityfall2011 AT rothmandaniel modelingenvironmentalcomplexity |