Interesting that the 10 top-rated schools (US News & World report rankings)--MIT, Stanford, UC Berkeley, Georgia Tech, Caltech, U of Illinois Urbana Champaign, Carnegie Mellon, U of Michigan Ann Arbor, U of Texas Austin, Cornell--aren't on either list.
I have to agree that it's just a tough road to hoe. My youngest son is an Engineering student and it's definitely hard for him because of the scheduling commitment. His friends have chosen, shall we say, lesser disciplines and have much more free time than he can afford.
I noticed that one of the criticisms was that the schools concentrated too much on research. I initially studied physics at a large state school, and that was the criticism then (early 1970s). My son is at the Illinois Institute of Technology and they are on the list. Therer was a long and heated discussion on the IIT LinkedIn group about that. Now IIT has about twice the number of graduate students as undergraduates in many departments. It is definately a research school. That might be one of the issues, although I got the impression from my son's friends that they liked being there. It is hard to tell.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.