Your mention of descriptive geometry texts takes me back. My father was a draftsman and finally got an associates degree. I still have all his textbooks in descriptive geometry. It can be a useful skill. My brother and I were lucky in that our high school had a great pre-engineering/architecture program. The first two years were common. It was in the last year that you specialized. We had a great teacher and we did some very interesting projects. I went the pre-engineering route and my brother the architecture route. When he was in architecture school I used to help him with his projects. He would often ask me to help with some of the more complex perspectives. I was working full time and would go to his place and work on this. I really found it challenging and enjoyable.
Our engineering schools today challenge students with one or more group project. These have to be unique and the students have to come up with solutions to new problems. Some of these are significant. I truly believe that working with objects and solving real problems helps engineers to really understand. This obviously helped Calder.
When I lived in New Orleans, there was an incredible collection of moving sculptures in an unlikely place: the headquarters of the K&B drugstore chain.
K&B Plaza, on St. Charles Avenue, was home to over 40 "kinetic sculptures," including this one by local artist Lin Emery. Some are still there, but many of the sculptures have since been moved to a sculpture garden in City Park. I highly recommend it to anyone visiting New Orleans.
I've often thought that studying the kinematics of these sculptures would make a good project for an introductory dynamics class.
In an age of globalization and rapid changes through scientific progress, two of our societies' (and economies') main concerns are to satisfy the needs and wishes of the individual and to save precious resources. Cloud computing caters to both of these.
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.