Difference between revisions of "User:Udg"
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== '''Grand Challenge Article''' == | == '''Grand Challenge Article''' == | ||
[http://www.nationaldefensemagazine.org/archive/2009/March/Pages/ReverseEngineeringtheBrainMayAccelerateRoboticsResearch.aspx Reverse Engineering the Brain May Accelerate Robotics Research ] Stew Magnuson, National Defense Magazine, Uploaded March 2009, Accessed January 26, 2013 (Reverse-Engineering the Brain) | [http://www.nationaldefensemagazine.org/archive/2009/March/Pages/ReverseEngineeringtheBrainMayAccelerateRoboticsResearch.aspx Reverse Engineering the Brain May Accelerate Robotics Research ] Stew Magnuson, National Defense Magazine, Uploaded March 2009, Accessed January 26, 2013 (Reverse-Engineering the Brain) | ||
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| + | == '''Favorite MATLAB Demonstration''' == | ||
| + | My favorite demonstration was the Traveling Salesman demo. It is a deceptively simple problem, but its Wikipedia page has lots of big mathy words in it, proving that it's harder than it looks. I liked that MATLAB turned it into an iterative process, each time getting closer to the best and most efficient answer. It was a good demonstration of MATLAB's computing power and its potential problem-solving applications. | ||
Revision as of 21:26, 26 January 2014
About Me
I'm Delta Ghoshal. I'm currently a first-year student in Duke's Trinity College of Arts and Sciences. However, I'm trying to transfer to the Pratt School of Engineering in order to study Biomedical Engineering. I'm excited to take EGR 103 this semester.
Grand Challenge Article
Reverse Engineering the Brain May Accelerate Robotics Research Stew Magnuson, National Defense Magazine, Uploaded March 2009, Accessed January 26, 2013 (Reverse-Engineering the Brain)
Favorite MATLAB Demonstration
My favorite demonstration was the Traveling Salesman demo. It is a deceptively simple problem, but its Wikipedia page has lots of big mathy words in it, proving that it's harder than it looks. I liked that MATLAB turned it into an iterative process, each time getting closer to the best and most efficient answer. It was a good demonstration of MATLAB's computing power and its potential problem-solving applications.
