Difference between revisions of "User:Travis Wolf"

From PrattWiki
Jump to navigation Jump to search
 
(One intermediate revision by the same user not shown)
Line 13: Line 13:
  
 
== Grand Engineering Challenges ==
 
== Grand Engineering Challenges ==
 +
 +
This is a sweet article that relates to the Grand Challenge of managing the nitrogen cycle, by helping aid our forests. This article is all about how a little money could go a long way in preserving the Atlantic Forest in Brazil and help maintain the natural balance of our ecosystem. Please read on:
  
 
[http://www.eurekalert.org/pub_releases/2014-08/icl-lt2082614.php Eureka Alert], Gail Wilson, Eureka Alert, 8/28/2014, 8/28/2014 (Grand Challenge)
 
[http://www.eurekalert.org/pub_releases/2014-08/icl-lt2082614.php Eureka Alert], Gail Wilson, Eureka Alert, 8/28/2014, 8/28/2014 (Grand Challenge)
 

 

 +
== MATLAB Demonstrations ==
 +
The coolest demonstration for me was the predicting the US population extrapolation graph. This was cool because it related to the Lab 2 that we already did so I could understand some of the code. Also it was interesting to see how with each different fit, the extrapolations varied incredibly.

Latest revision as of 16:36, 8 September 2014

Hello - this is the page for Travis Wolf. I am a sophomore transfer into Pratt and taking EGR 103 in fall 2014


Early History

I was born. I am alive


Goals

Be happy and change the world


Grand Engineering Challenges

This is a sweet article that relates to the Grand Challenge of managing the nitrogen cycle, by helping aid our forests. This article is all about how a little money could go a long way in preserving the Atlantic Forest in Brazil and help maintain the natural balance of our ecosystem. Please read on:

Eureka Alert, Gail Wilson, Eureka Alert, 8/28/2014, 8/28/2014 (Grand Challenge) 

MATLAB Demonstrations

The coolest demonstration for me was the predicting the US population extrapolation graph. This was cool because it related to the Lab 2 that we already did so I could understand some of the code. Also it was interesting to see how with each different fit, the extrapolations varied incredibly.