User:SahilMehta

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Revision as of 04:27, 13 September 2015 by SahilMehta (talk | contribs)
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About Me

I'm Sahil, a freshman at Duke University planning majoring in both Mechanical Engineering and Computer Science. I Grew up in Austin, Texas with one older sister who is currently in her final year at the Duke University School of Law. My interests outside of the classroom include playing soccer, football, basketball (although I'm no good), tennis, table tennis, Ultimate Ping, and essentially any other sport that involves rackets. When I can I enjoy reading the newspaper, specifically the New York Times, delving deeper into areas of personal interest, going on adventures, and pretending to be sociable.

Fall 2015

The courses in which I am currently enrolled:

  • EGR103L: Computational Methods in Engineering
  • Math 212: Multivariable Calculus
  • PSY 101: Introductory Psychology
  • Physics 152L: Electricity and Magnetism

Pronunciation

My name may seem slightly difficult to pronounce at first, but in realty it's quite simple. When I find people struggling to pronounce my name properly I tell them to practice the phrase "I saw a hill" and, generally speaking, the pronunciation of my name becomes immediately obvious.

Engineering Challenges

Virtual Reality and Mixed Reality for Virtual Learning Environments Zhigeng Pana, Adrian David Cheokb, Hongwei Yanga, Jiejie Zhua, and Jiaoying Shia, updated 28 November 2005, accessed 10 September 2015 (Advanced Personalized Learning)

MATLAB Demonstrations

I found the included demonstration on 3-D Plots and 3-D Surface Plots to be the most interesting. Being able to generate 3-dimensional plots will allow me to properly visualize functions that operate on multiple variables (in \(\rm I\!R ^ 3\), \(x\) and \(y\)), manipulate them, and generate a meaningful output (in \(\rm I\!R ^ 3\), \(z\)) as is often the case with equations used in real-world applications. Although a 3-D plot would only be able to fully represent a function of two variables, MATLAB's ability to trace contour lines allows for more simple visualization of functions operating in higher dimensions.