Difference between revisions of "User:Loc2"

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==Things you should know about me==
 
==Things you should know about me==
 
My full name is '''Lance Ong-Siong Co Ting Keh''', ''Ong-Siong'' is my middle name and ''Co Ting Keh'' is my last name ''(yes it’s three words )''. I am pure Chinese but was born and raised in the Philippines. I was brought up Catholic, although I regret that I haven’t been fulfilling my weekly duties since I arrived at Duke.  I enjoy playing soccer and basketball. Although I don’t have a talent in music, I love listening to it. I’m currently deciding between majoring in BME or ECE (or both if I decide to drive myself nuts).  
 
My full name is '''Lance Ong-Siong Co Ting Keh''', ''Ong-Siong'' is my middle name and ''Co Ting Keh'' is my last name ''(yes it’s three words )''. I am pure Chinese but was born and raised in the Philippines. I was brought up Catholic, although I regret that I haven’t been fulfilling my weekly duties since I arrived at Duke.  I enjoy playing soccer and basketball. Although I don’t have a talent in music, I love listening to it. I’m currently deciding between majoring in BME or ECE (or both if I decide to drive myself nuts).  
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==Pronouncing the Name==
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I don't think there's any other way to pronounce ''Lance'', but just in case, it's just like Lance Armstrong's. ''Ong-Siong'',on the other hand is pronounced: ONG-shiong, and ''Co Ting Keh'' is KO-TING-KE. So to sum it all up, it's '''LANCE-ONG-shiong-KO-TING-KE''' 
  
 
==Ohana==
 
==Ohana==
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==Top three things I’m afraid of==
 
==Top three things I’m afraid of==
:#Ghost
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:#Ghosts
 
:#The Dark
 
:#The Dark
 
:#My Mother(just kidding)
 
:#My Mother(just kidding)
  
 
==A Peek at one of the Grand Challenges of Engineering==
 
==A Peek at one of the Grand Challenges of Engineering==
This article pertains specifically to the challenge of [http://www.engineeringchallenges.org/cms/8996/9082.aspx| Making Solar Energy More Economical]
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This article pertains specifically to the challenge of [http://www.engineeringchallenges.org/cms/8996/9082.aspx Making Solar Energy More Economical]
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*[http://web.mit.edu/newsoffice/2008/oxygen-0731.html Major discovery from MIT primed to unleash solar revolution],Anne Trafton,MIT News Office, Updated July 31,2008, Accessed: September 20,2010 (Grand Challenge- Making Solar Energy More Economical)
  
*[http://web.mit.edu/newsoffice/2008/oxygen-0731.html| Major discovery from MIT primed to unleash solar revolution],Anne Trafton,MIT News Office, Updated July 31,2008, Accessed: September 20,2010
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==Favorite Part in the MATLAB Help Section==
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The part I found most helpful in the MATLAB tutorial is the section on Data Analysis under Documentation. In particular, I liked the fact that it presented ways to employ MATLAB to perform powerful mathematical analysis tools in such a simple way. It also goes step by step, from teaching you how to import the data to be analyzed into MATLAB, to plotting the data, to ways around incomplete or missing data, detrending and differencing it, and to just about anything you want to do with your raw data. It also has a section that teaches you how to skim through your data by visually analyzing it and drawing the trends (which I believe will be very helpful in stock market analysis). It then moves on to (and here’s the impressive part) teach you how to use more powerful tools like calculating the covariance matrix, and performing time series analysis. This section is one of the main reasons why I’m very interested in learning how to use MATLAB. In the same sense, the demonstration I enjoyed the most is the “FFT for Spectral Analysis” demonstration. Again I’m amused by the fact that the fast-Fourier Transform of an array of ‘noisy’ data can be calculated simply using the command ''fft''. The demonstration also teaches you how to plot the power spectral density by first generating the complex conjugate for the data of given points.

Latest revision as of 03:04, 21 September 2010

Things you should know about me

My full name is Lance Ong-Siong Co Ting Keh, Ong-Siong is my middle name and Co Ting Keh is my last name (yes it’s three words ). I am pure Chinese but was born and raised in the Philippines. I was brought up Catholic, although I regret that I haven’t been fulfilling my weekly duties since I arrived at Duke. I enjoy playing soccer and basketball. Although I don’t have a talent in music, I love listening to it. I’m currently deciding between majoring in BME or ECE (or both if I decide to drive myself nuts).

Pronouncing the Name

I don't think there's any other way to pronounce Lance, but just in case, it's just like Lance Armstrong's. Ong-Siong,on the other hand is pronounced: ONG-shiong, and Co Ting Keh is KO-TING-KE. So to sum it all up, it's LANCE-ONG-shiong-KO-TING-KE

Ohana

My parent’s names are Edmondo and Rowena. I’m the eldest of two siblings, an eight year old younger brother, Lyron, and a thirteen year old sister, Lace. From my family I draw my strength. I sleep soundly at night knowing that they will always be behind me.

Lancenhannah.jpg

Cool (or disgusting, depending on how you see it) stuff

  • My left wrist is extremely flexible because of the number of times I broke it playing soccer (I play keeper)
  • What seems like a mole on my left palm is actually a pencil’s lead. When I was in first grade my classmate stabbed me with a pencil, the lead broke off and my skin just healed over it.
  • The scar on my left leg is because of metal spikes that once embedded into my skin

Top three things I’m afraid of

  1. Ghosts
  2. The Dark
  3. My Mother(just kidding)

A Peek at one of the Grand Challenges of Engineering

This article pertains specifically to the challenge of Making Solar Energy More Economical


Favorite Part in the MATLAB Help Section

The part I found most helpful in the MATLAB tutorial is the section on Data Analysis under Documentation. In particular, I liked the fact that it presented ways to employ MATLAB to perform powerful mathematical analysis tools in such a simple way. It also goes step by step, from teaching you how to import the data to be analyzed into MATLAB, to plotting the data, to ways around incomplete or missing data, detrending and differencing it, and to just about anything you want to do with your raw data. It also has a section that teaches you how to skim through your data by visually analyzing it and drawing the trends (which I believe will be very helpful in stock market analysis). It then moves on to (and here’s the impressive part) teach you how to use more powerful tools like calculating the covariance matrix, and performing time series analysis. This section is one of the main reasons why I’m very interested in learning how to use MATLAB. In the same sense, the demonstration I enjoyed the most is the “FFT for Spectral Analysis” demonstration. Again I’m amused by the fact that the fast-Fourier Transform of an array of ‘noisy’ data can be calculated simply using the command fft. The demonstration also teaches you how to plot the power spectral density by first generating the complex conjugate for the data of given points.