http://www.econ.ucdavis.edu/faculty/scarrell/profqual2.pdf
"... our results show that student evaluations reward professors who increase achievement in the contemporaneous course being taught, not those who increase deep learning."
394 karma · joined February 13, 2010
http://www.econ.ucdavis.edu/faculty/scarrell/profqual2.pdf
"... our results show that student evaluations reward professors who increase achievement in the contemporaneous course being taught, not those who increase deep learning."
Source: anecdotal evidence from friends/relatives who observed childrens' reactions when first exposed to TV/movies when they were relatively old.
This book is excellent: http://www.amazon.com/Stylish-Academic-Writing-Helen-Sword/d...
https://github.com/nunoplopes/alive
Alive automates all of the stuff described in the post. Here's some info:
http://blog.regehr.org/archives/1170
Also we gave a talk at the LLVM Dev meeting a few weeks ago, the talk doesn't seem to be online (yet?) but here are David's slides:
http://blog.llvm.org/2011/05/what-every-c-programmer-should-...
Property-based testing is, as far as I can tell, a meaningless term since all testing is property-based.
But yes, these results can be made persistent and used directly to optimize code. We are working on it.
Applying this tool to code emitted by GHC or rustc is trivial, it's all LLVM bitcode. One of my ideas is that these languages are a good use case for a superoptimizer since the LLVM passes aren't tuned for them, but we'll have to see how that plays out.
I wasn't much of an outdoors person before moving to Utah and really, really like that stuff now too.
Sensitivity is nice but as far as I'm concerned, dynamic range is the main thing that's needed in digital photography. DSLR sensors have gotten much, much better over the last 10 years but there's still plenty of room for improvement.