Difference between revisions of "User:Hhw5"
Line 34: | Line 34: | ||
[http://www.cnn.com/2008/LIVING/wayoflife/03/12/cars.of.future/index.html?iref=newssearch Cars of the Future], John Brandon, CNN, updated 12 March 2008, accessed 29 August 2013 (Grand Challenge). | [http://www.cnn.com/2008/LIVING/wayoflife/03/12/cars.of.future/index.html?iref=newssearch Cars of the Future], John Brandon, CNN, updated 12 March 2008, accessed 29 August 2013 (Grand Challenge). | ||
+ | |||
+ | == Favorite MatLab Demonstrations == | ||
+ | |||
+ | 1) I really liked the volume visualization demonstration. I had never thought that Matlab could be used to process data like Wind data or mri data, nor could it have the capacity to create a visualization of it. Very cool. | ||
+ | |||
+ | 2) I also thought that the example showing how to predict the US population was very cool, again I hadn't really thought to represent data like that using Matlab, and now I realize that it's possible and very practical as well. |
Latest revision as of 01:45, 9 September 2013
Contents
About
My name is Henry Warder, and I am a student at Duke University. I am in the Pratt School of Engineering as a potential BME Major with possibly an English minor.
I grew up in Manhattan on the Upper West Side, and still call it my home.
Courses
I'm currently enrolled in:
1) EGR 103-
2) CHEM 201
3) CALC 111
4) Intro to Poetry writing class (no link to be found)
Things I like to do
I love to rock climb, as well as run swim and bike. I would love to go climbing out west, but I have to do a little bit of college first.
Grand Challenge Articles
I thought these articles were really interesting:
Nuclear Fusion, energy of the stars with no emissions Spiegel Online, posted 2 January 2009, accessed 29 August 2013 (Grand Challenge).
Cars of the Future, John Brandon, CNN, updated 12 March 2008, accessed 29 August 2013 (Grand Challenge).
Favorite MatLab Demonstrations
1) I really liked the volume visualization demonstration. I had never thought that Matlab could be used to process data like Wind data or mri data, nor could it have the capacity to create a visualization of it. Very cool.
2) I also thought that the example showing how to predict the US population was very cool, again I hadn't really thought to represent data like that using Matlab, and now I realize that it's possible and very practical as well.