Must be taken during every semester in residence. This course is an introduction to statistics for students in engineering and the sciences. The course will emphasize practical methods for designing studies and analyzing the resulting data, while introducing sufficient theory to motivate and justify those methods. Topics covered include numerical and graphical summmary of data, exploratory data analysis, basic issues in the design and conduct of experimental and observational studies, discrete and continuous probability models, the central limit theorem, point and interval estimation, tests of hypotheses, correlation, simple and multiple regression, one and two-way tables, and design and analysis of one factor, and, if time allows, multifactor experiments. Micro-mechatronics is an emerging technology, and couples the fields of mechanical and electrical engineering.
MEMS are an enabling technology leveraging integrated circuit technology with mechanical actuation.
Applications of MEMS will be discussed and illustrated with representative examples. Simple MEMS devices, such as pressure sensors, can transform mechanical energy into an electrical output. More sophisticated MEMS devices, such as microengines, incorporate mechanical elements such as gears, cams, linkages, and springs with microelectronic control to produce linear or rotational motions that, in turn, may act on optical, chemical, or biological components. Many of these microdevices can, under certain conditions, behave as their macro world counterparts would. However, many do not.