Difference between revisions of "User:Ebs27"
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Hi! I'm Eric! | Hi! I'm Eric! | ||
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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 == | ||
+ | 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 == | ||
+ | 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!
Contents
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.