Offered Every Spring
|Prerequisites:||Graduate standing, a graduate-level understanding of mechanics, and the appropriate mathematical and computational background, or the consent of instructor.|
|Catalog Description:||Experimental methods in mechanics. Includes measurement techniques, instrumentation, data acquisition, signal processing, and linear and digital electronics.|
|Textbooks:||Philip Bevington, D. Keith Robinson, Data Reduction and Error Analysis for the Physical Science, 3rd Edition, McGraw-Hill, 2002.|
|References:||P. R. Bevington & D. K. Robinson, Data Reduction and Error Analysis for the Physical Sciences, Mc-Graw-Hill, Inc., 1992.
R. J. Goldstein, Fluid Mechanics Measurements, Taylor & Francis, Inc., 1996.
|Goals:||This course is intended to provide the student with a broad background in the fundamentals of experimental data acquisition and analysis along with an introduction to a few specific measurement techniques. After this course, the student should have a system-level perspective on analyzing, processing and evaluating the data obtained from experimental measurements.|