Difference between revisions of "User:Nl146"
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This semester I am in EGR103, Math 122, Chem 101, and Philosophy 101. | This semester I am in EGR103, Math 122, Chem 101, and Philosophy 101. | ||
| − | == [Grand Challenges for Engineering] == | + | == [[Grand Challenges for Engineering]] == |
[https://www.engadget.com/2017/06/21/nuclear-fusion-runaway-electron-problem-solved/ Scientists may have solved a key barrier to fusion power], Swapna Kishna, Engadget, 21 June 2017, accessed 21 September 2017 (Nuclear fusion) | [https://www.engadget.com/2017/06/21/nuclear-fusion-runaway-electron-problem-solved/ Scientists may have solved a key barrier to fusion power], Swapna Kishna, Engadget, 21 June 2017, accessed 21 September 2017 (Nuclear fusion) | ||
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| + | == MATLAB Demo Favorite == | ||
| + | My favorite MATLAB demo game was ''Traveling Salesman'' because, while it was not the most interactive demo, I was astonished at how useful it was. These types of optimization problems are found all around us in everyday life, whether we realize it or not. It is quite beneficial to have a code like this instead of doing a ton of calc optimization problems, especially in a situation that involves minimizing expenditures. | ||
Latest revision as of 00:58, 22 September 2017
Contents
About Me
I am a freshman at Duke University in the Pratt School of Engineering. I am originally from Lemoore, California, but have lived in Virginia Beach, Virginia for the last 8 or 9 years.
Name Pronunciation
My name is pronouned "NAY-then LUHK-sick". "Luksik" just sounds like saying the words "luck" and "sick", and everyone can pronounce "Nathan".
Current Courses
This semester I am in EGR103, Math 122, Chem 101, and Philosophy 101.
Grand Challenges for Engineering
Scientists may have solved a key barrier to fusion power, Swapna Kishna, Engadget, 21 June 2017, accessed 21 September 2017 (Nuclear fusion)
MATLAB Demo Favorite
My favorite MATLAB demo game was Traveling Salesman because, while it was not the most interactive demo, I was astonished at how useful it was. These types of optimization problems are found all around us in everyday life, whether we realize it or not. It is quite beneficial to have a code like this instead of doing a ton of calc optimization problems, especially in a situation that involves minimizing expenditures.
