Difference between revisions of "User:Jes103"

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                                    '''James Edward Stevens III
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== Full Name ==
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James "Jimmy" Edward Stevens III
  
  
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I enjoy playing basketball, disc golfing, working out, and watching movies.
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I enjoy playing basketball, running, exploring, disc golfing, lifting weights, playing NBA 2K16, and watching movies.
  
  
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[https://news.brown.edu/articles/2015/12/lux World's most sensitive dark matter detector gets better], Kevin Stacey, Brown University, updated 14 December 2015, accessed 31 January 2016, (Grand Challenge)
 
[https://news.brown.edu/articles/2015/12/lux World's most sensitive dark matter detector gets better], Kevin Stacey, Brown University, updated 14 December 2015, accessed 31 January 2016, (Grand Challenge)
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== Favorite Demonstration ==
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My favorite demonstration was "Earth's Topography". It is fascinating how less than 100 lines of code can be used to model our entire planet Earth. I felt the explanation was both clear and informative. Furthermore, I liked how the demonstration showed how to convert the 2-D model to a 3-D model.

Latest revision as of 15:34, 2 February 2016

Full Name



James "Jimmy" Edward Stevens III


About Me



I am a freshman at Duke University living in Wilson Residence Hall. I grew up in Apex, North Carolina, and I have been a Duke fan my entire life. I am pursuing a B.S. in Mechanical Engineering, although I am undecided on my minor.


Interests



I enjoy playing basketball, running, exploring, disc golfing, lifting weights, playing NBA 2K16, and watching movies.


Current Courses



EGR 103

EGR 121

Physics 151

Seminar: The Ancient Mind


Grand Challenges for Engineering Link



World's most sensitive dark matter detector gets better, Kevin Stacey, Brown University, updated 14 December 2015, accessed 31 January 2016, (Grand Challenge)


Favorite Demonstration



My favorite demonstration was "Earth's Topography". It is fascinating how less than 100 lines of code can be used to model our entire planet Earth. I felt the explanation was both clear and informative. Furthermore, I liked how the demonstration showed how to convert the 2-D model to a 3-D model.