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Engineering Measurement and Data Analysis ENSC 280 (3)
An introduction to methods to collect and analyse engineering data. Topics include the Engineering data representation, Discrete and continuous probability density functions, Engineering measurements, Error analysis, Introduction to sensor interfaces, Introduction to physical sensors, Introduction to sensor signal conditioning, Noise, Test of hypotheses, Linear and nonlinear regression, and Design of experiments. Prerequisite: PHYS 141 or equivalent. MATH 150 or MATH 151. Students with credit for MSE 210 or PHYS 231 cannot take this course for further credit. Students who have taken and passed ENSC 263 "Special Topics in ENSC: Engineering Measurement and Data Analysis" in Spring 2009 and Spring 2010 cannot take this course for further credit.