Difference between revisions of "User:Lucy Zhang"
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! Amazing Production Value | ! Amazing Production Value | ||
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− | | Kara no Kyoukai | + | | Kara no Kyoukai [[File:Kara-no-kyoukai.jpg|right|200 px|alt=Kara no Kyoukai.|Kara no Kyoukai.]] |
| Tokyo Ghoul | | Tokyo Ghoul | ||
| Tokyo Ghoul ep 12 Ghoul | | Tokyo Ghoul ep 12 Ghoul | ||
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|Durarara!! ep 2 Highly Unpredictable | |Durarara!! ep 2 Highly Unpredictable | ||
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== [[Grand Challenges for Engineering]] Articles == | == [[Grand Challenges for Engineering]] Articles == | ||
*[http://phys.org/news/2015-08-surgeons-remote-telementoring.html Surgeons may get remote assistance with new 'telementoring' system], Emil Venere, http://phys.org/, updated 15 August 2015, accessed 25 August 2015 (Enhance Virtual Reality) | *[http://phys.org/news/2015-08-surgeons-remote-telementoring.html Surgeons may get remote assistance with new 'telementoring' system], Emil Venere, http://phys.org/, updated 15 August 2015, accessed 25 August 2015 (Enhance Virtual Reality) |
Revision as of 19:09, 29 August 2015
About Me
I am an avid anime fan who writes for the satire site Anime Maru
Top Shows in All Categories | Most entertaining shows | Best Single episodes | Amazing Production Value |
---|---|---|---|
Kara no Kyoukai | Tokyo Ghoul | Tokyo Ghoul ep 12 Ghoul | Fate/Zero |
Mawaru Penguindrum | Death Parade ep 9 Death Counter | Zankyou no Terror | |
Fate/Zero | Shiki ep 20.5 Twentieth Mourning and Offense | ||
Sunday Without God ep 3 Valley of Death III | |||
Durarara!! ep 2 Highly Unpredictable |
Grand Challenges for Engineering Articles
- Surgeons may get remote assistance with new 'telementoring' system, Emil Venere, http://phys.org/, updated 15 August 2015, accessed 25 August 2015 (Enhance Virtual Reality)
Favorite MATLAB demo
My favorite MATLAB demonstration was the 2D Plots graphics demonstration. The information it taught was quite practical and straightforward, but critical to future uses of MATLAB. Simply knowing how to establish the x-values and y-values of a graph and labeling both axes already makes MATLAB extremely useful. The demonstration also explains specific graph types such as a bar plot of a bell shaped curve or a stairstep plot of a sine wave in greater detail, another critical bit of information that I will likely need to reference in the future. There is no excess of explanation, instead leaving the example code and result for the reader (me) to interpret. Considering how straightforward the code was, this was an optimal method of information demonstration.
It was also nice to see the code for 2d graphs utilize principles that I already learned, such as the start:step:end. In fact, drawing (or more accurately, coding) 2D graphs in MATLAB is so similar to what I'd normally type in a graphing calculator that it doesn't quite feel like a programming language like java or python (although, granted, in many other aspects they are very similar).