Difference between revisions of "User:Cgdantoin"

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''About the User''  
 
''About the User''  
Nothing at this time
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*Nothing at this time
  
 
''Grand Challenge''
 
''Grand Challenge''
Here is the link to the Pratt Pundit page on the [[Grand Challenges for Engineering]].
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*Here is the link to the Pratt Pundit page on the [[Grand Challenges for Engineering]].
For external links to other, more specific sources, browse through:
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*For external links to other, more specific sources, browse through:
* Regarding Reverse Engineering the Brain: [http://forum.engin.umich.edu/2011/04/reverse-engineering-brain-from-inside.html], Bill Clayton, Michigan Engineering, updated 15 April 2011, accessed 14 September 2013 (Specific)
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** Regarding Reverse Engineering the Brain: [http://forum.engin.umich.edu/2011/04/reverse-engineering-brain-from-inside.html Reverse Engineering the Brain- from the Inside], Bill Clayton, Michigan Engineering, updated 15 April 2011, accessed 14 September 2013 (Specific)
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**Regarding Engineering Better Medicines: [http://summit-grand-challenges.pratt.duke.edu/seattle/engineering-better-medicines Seattle Summit Series on the Medicine Challenge], Pratt School of Engineering, updated 2012, accessed 14 September 2013 (Specific)
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''MATLAB Demonstrations''
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*The favorite of my MATLAB demos is the one for 3-D Plots.  This is neat for me, because I finally see that with MATLAB we can simplify what looks to be a very complicated graph into a few lines of code.  This efficiency is incredible, and it makes me feel that MATLAB could have a large variety of applications.

Latest revision as of 23:02, 4 December 2013

Welcome to cgdantoin's user page for Pratt.

  • This is an exercise in how to edit wikipedia articles.
  • The formatting options given by wikipedia were helpful.

About the User

  • Nothing at this time

Grand Challenge

MATLAB Demonstrations

  • The favorite of my MATLAB demos is the one for 3-D Plots. This is neat for me, because I finally see that with MATLAB we can simplify what looks to be a very complicated graph into a few lines of code. This efficiency is incredible, and it makes me feel that MATLAB could have a large variety of applications.