Difference between revisions of "User:Ebs27"

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Hi!  I'm Eric!
 
Hi!  I'm Eric!
  
I like to play baseball and guitar.   
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== About Me ==
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I like to play baseball and guitar.  I'm currently a freshman at Duke's Pratt School of Engineering.
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== Name Pronunciation ==
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My full name is Eric Stach.  Eric is self explanatory.  Stach is pronounced like with a 'k' so it should be "Stack". 
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== [[Grand Challenges for Engineering]] Articles ==
  
  
 
[http://www.sciencedaily.com/releases/2010/02/100211163118.htm Posttraumatic Stress Disorder: Virtual Reality and Other Technologies Offer Hope]  Mary Ann Liebert ,  ScienceDaily ,  updated 12 February 2010 ,  accessed 30 August 2010 (Grand Challenge)
 
[http://www.sciencedaily.com/releases/2010/02/100211163118.htm Posttraumatic Stress Disorder: Virtual Reality and Other Technologies Offer Hope]  Mary Ann Liebert ,  ScienceDaily ,  updated 12 February 2010 ,  accessed 30 August 2010 (Grand Challenge)
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== MATLAB Demonstrations ==
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My favorite MATLAB demonstration was the Traveling Salesman.  To me, it was really interesting to see how quickly a computer program could take 50 points(or cities) and find the shortest distance between all of them.  It was also cool to see when you thought that the demo was over, a few seconds later a few lines would shift and MATLAB had found a shorter route.

Latest revision as of 15:10, 19 September 2010

Hi! I'm Eric!

About Me

I like to play baseball and guitar. I'm currently a freshman at Duke's Pratt School of Engineering.


Name Pronunciation

My full name is Eric Stach. Eric is self explanatory. Stach is pronounced like with a 'k' so it should be "Stack".


Grand Challenges for Engineering Articles

Posttraumatic Stress Disorder: Virtual Reality and Other Technologies Offer Hope Mary Ann Liebert , ScienceDaily , updated 12 February 2010 , accessed 30 August 2010 (Grand Challenge)


MATLAB Demonstrations

My favorite MATLAB demonstration was the Traveling Salesman. To me, it was really interesting to see how quickly a computer program could take 50 points(or cities) and find the shortest distance between all of them. It was also cool to see when you thought that the demo was over, a few seconds later a few lines would shift and MATLAB had found a shorter route.