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6.891 Computational Evolutionary Biology, Fall 2004

Author(s)
Berwick, Robert
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Download6-891-fall-2004/contents/index.htm (33.58Kb)
Alternative title
Computational Evolutionary Biology
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Usage Restrictions: This site (c) Massachusetts Institute of Technology 2014. 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
Why has it been easier to develop a vaccine to eliminate polio than to control influenza or AIDS? Has there been natural selection for a 'language gene'? Why are there no animals with wheels? When does 'maximizing fitness' lead to evolutionary extinction? How are sex and parasites related? Why don't snakes eat grass? Why don't we have eyes in the back of our heads? How does modern genomics illustrate and challenge the field? This course analyzes evolution from a computational, modeling, and engineering perspective. The course has extensive hands-on laboratory exercises in model-building and analyzing evolutionary data.
Date issued
2004-12
URI
http://hdl.handle.net/1721.1/89823
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Other identifiers
6.891-Fall2004
local: 6.891
local: IMSCP-MD5-b3693be8b29780e3f63c70352a294f72
Keywords
evolution from a computational, modeling, and engineering perspective, analyzing evolutionary data, vaccine, polio, influenza, AIDS, evolutionary extinction, sex, parasites, modern genomics, polio vaccine, hands-on, evolution from a computational, modeling, and engineering perspective

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