Difference between revisions of "User:Ksahingur"
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==Favorite MATLAB Demonstration== | ==Favorite MATLAB Demonstration== | ||
| + | My favorite MATLAB demonstration out of the several demonstrations that I went through was the "Predicting the US Population" demonstration. I thought this demonstration was particularly interesting because it portrayed how using polynomials to predict future data through extrapolating given data could be risky and inaccurate. This demonstration used US Census information about total population from 1900 to 2000 to try predicting the US population in 2010. However, it exemplified how drawing a curve of best fit for the data with different degrees created different results. I found this demonstration to be the most interesting because it both applied MATLAB to a very real world application - predicting the future population of a country - and also showed areas of risk when approaching a prediction for future data. | ||
Latest revision as of 17:49, 14 September 2017
Contents
About Me
My name is Kaan and I am a freshman at Duke University. I plan on majoring in Biomedical Engineering and minoring in Finance. I live in Virginia, and I have a dog named CJ. My favorite NFL team is the Buffalo Bills.
Name Pronunciation
My name, Kaan Sahingur, is pronounced "Con" (as in concentrate or Genghis Khan) "Shah-in-gur" (pretend there's an extra "h" before the "a").
Current Courses
For the first semester of my freshman year, I am currently enrolled in the following classes:
- EGR 103: Computational Methods in Engineering
- CHEM 110: Honors Chemistry
- MATH 212: Multivariable Calculus
- Writing 101: Race and Inequality in US Cities
Grand Challenges for Engineering Articles
- Can Engineers Achieve the Holy Grail of Energy: Infinite and Clean?, Charles Seite, Discover Magazine, 6 October 2008, accessed 14 September 2017 (Provide Energy From Fusion)
Favorite MATLAB Demonstration
My favorite MATLAB demonstration out of the several demonstrations that I went through was the "Predicting the US Population" demonstration. I thought this demonstration was particularly interesting because it portrayed how using polynomials to predict future data through extrapolating given data could be risky and inaccurate. This demonstration used US Census information about total population from 1900 to 2000 to try predicting the US population in 2010. However, it exemplified how drawing a curve of best fit for the data with different degrees created different results. I found this demonstration to be the most interesting because it both applied MATLAB to a very real world application - predicting the future population of a country - and also showed areas of risk when approaching a prediction for future data.
