Difference between revisions of "User:E.lin"
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[http://www.npr.org/sections/goatsandsoda/2015/01/10/376182321/bill-gates-raises-a-glass-to-and-of-water-made-from-poop/ Bill Gates Raises A Glass To (And of) Water Made from Poop], Linda Poon, NPR, 10 January 2015, accessed 3 September 2017 (Provide access to clean water) | [http://www.npr.org/sections/goatsandsoda/2015/01/10/376182321/bill-gates-raises-a-glass-to-and-of-water-made-from-poop/ Bill Gates Raises A Glass To (And of) Water Made from Poop], Linda Poon, NPR, 10 January 2015, accessed 3 September 2017 (Provide access to clean water) | ||
− | [[MATLAB Demonstrations]] | + | [[MATLAB Demonstrations:]] |
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My favorite MATLAB demonstration was the "Loma Prieta Earthquake" demonstration. Although I did not comprehend the majority of the commands used in the demonstration, the sheer amount of computational and graphical capacity that MATLAB has surprised me. I learned that by only using a few lines of code, one can organize and display meaningful relationships from large sets of data. Even more, this demonstration shows that MATLAB has very practical applications (in this case analyzing real-world earthquake data) and can be used to make complex data analysis rather simple. | My favorite MATLAB demonstration was the "Loma Prieta Earthquake" demonstration. Although I did not comprehend the majority of the commands used in the demonstration, the sheer amount of computational and graphical capacity that MATLAB has surprised me. I learned that by only using a few lines of code, one can organize and display meaningful relationships from large sets of data. Even more, this demonstration shows that MATLAB has very practical applications (in this case analyzing real-world earthquake data) and can be used to make complex data analysis rather simple. |
Revision as of 20:14, 7 September 2017
EGR 103
Bill Gates Raises A Glass To (And of) Water Made from Poop, Linda Poon, NPR, 10 January 2015, accessed 3 September 2017 (Provide access to clean water)
My favorite MATLAB demonstration was the "Loma Prieta Earthquake" demonstration. Although I did not comprehend the majority of the commands used in the demonstration, the sheer amount of computational and graphical capacity that MATLAB has surprised me. I learned that by only using a few lines of code, one can organize and display meaningful relationships from large sets of data. Even more, this demonstration shows that MATLAB has very practical applications (in this case analyzing real-world earthquake data) and can be used to make complex data analysis rather simple.