Difference between revisions of "User:Nek12"
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− | '''[[Noah Kowalski]]''' | + | =='''[[Noah Kowalski]]'''== |
*Class of 2019 | *Class of 2019 | ||
*Prospective Mechanical Engineering Student | *Prospective Mechanical Engineering Student | ||
*Pegram | *Pegram | ||
+ | |||
+ | ==[[Homework 1: Pratt Pundit]]== | ||
+ | [http://www.sciencedaily.com/releases/2008/05/080527200600.htm Large Hadron Collider Enables Hunt For 'God' Particle To Complete 'Theory Of Everything'], University of Washington, ScienceDaily, last updated 29 May 2008, accessed 13 September 2015 | ||
+ | |||
+ | ==[[Homework 2: MATLAB Help and Demonstrations]]== | ||
+ | My favourite demonstration was the 2-D Plot demonstration because I found it extremely helpful in explaining each different kind of 2-D plot. 2-D plots are the most commonly used graphs in displaying information in an accurate and easily understandable way and this demonstration showed how to code for line plots, bar plots, and other plots that are useful when visualizing data. It was also explained in a basic manner and didn't go too in depth into each type and gave me a general sense of how to produce each plot. |
Latest revision as of 01:52, 14 September 2015
Noah Kowalski
- Class of 2019
- Prospective Mechanical Engineering Student
- Pegram
Homework 1: Pratt Pundit
Large Hadron Collider Enables Hunt For 'God' Particle To Complete 'Theory Of Everything', University of Washington, ScienceDaily, last updated 29 May 2008, accessed 13 September 2015
Homework 2: MATLAB Help and Demonstrations
My favourite demonstration was the 2-D Plot demonstration because I found it extremely helpful in explaining each different kind of 2-D plot. 2-D plots are the most commonly used graphs in displaying information in an accurate and easily understandable way and this demonstration showed how to code for line plots, bar plots, and other plots that are useful when visualizing data. It was also explained in a basic manner and didn't go too in depth into each type and gave me a general sense of how to produce each plot.