Credits: 4 (3-0-2)
Description
Methodology and planning of experimental work and reporting results. Types of errors, uncertainty propagation and statistical basis of uncertainty. Statics and data interpretation: population and sample, mean and standard deviation, standard deviation of mean, probability distributions and sample size selection. Design of experiments. Instruments: specifications, characteristics, and sources of error. Data acquisition and signal processing: analog to digital conversion, Fourier series and transform, sampling, aliasing, and filtering. Cross- correlation and autocorrelation. Digital image analysis.