Python is a powerful scripting language, which has a number of numerical and scientific libraries such as Numpy and Scipy. A simple python script to create a Chebychev II lowpass filter is presented which uses the Numpy, Scipy and the Matplotlib library.
I had already set my sights on the noble goal of making a contribution in writing to the world of engineering, when my fellow university alumnus (a.k.a. ‘super senior’) asked me to write about the day in the life of an engineer. It was needless to say that I jumped at the opportunity. The term ‘university life’ contains two words that should never be put together. Freshmen everywhere may find this particular idea something of an enigma, but my best advice would be to enjoy it while it lasts. Engineering can be quite a fulfilling and rewarding vocation with the right attitude and a solid foundation in the basics of the discipline.
It was theoretical physicist Werner Heisenberg who defined one of the cornerstones of quantum mechanics in his uncertainty principle as “It is impossible to measure something without disturbing it.” Measurements, however, are our proven method of validating and qualifying products and are extremely critical to the product life cycle.
Imagine a society where type errors are the norm. As a society, we strive to evoke a sense of fairness and value a system based on a set of prescribed rules. As such, lawbreakers are punished for their ill actions. Now, envision a society where the majority of law offenders receive a non-guilty verdict, while law abiding citizens are punished for crimes they did not commit. This example is analogous to type I and II errors.