A sequence of experiments has been developed that introduce junior-level undergraduate chemistry students to data correlation techniques. We describe these experiments and how they can be implemented in physical chemistry or analytical chemistry laboratory courses. These experiments use sound as a medium for the learning process. Whereas visualization techniques brought computational chemistry into the undergraduate curriculum, we take advantage of the auditory response to small differences in an acoustic signal, to "audibilize" how the data correlation process helps extract useful data from an acquired signal. This method of "listening to complex signals" to extract data is described. Students listen to a mixture of known "standard" sounds and identify its components. This process is compared to more traditional correlation techniques such as Fourier transform and phase locked loop analysis. Students also listen to free induction decays to aid their interpretation of NMR signals. Audibilization complements the students traditional introduction to Fourier transform techniques they use in the laboratory experience.
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