Research in astronomy is making rapidly increasing use of analysis methods that draw from developments in artificial intelligence, machine learning with a strong basis in Bayesian statistics. The overarching questions raised in astronomical science are attractive to students from a wide range of disciplines and can provide the motivation for learning the fundamentals of data science as they are applied to the astronomical domain.
Researchers in the Astronomy Department are involved with specific projects involving large empirical and simulation data sets: spacecraft imaging data from solar system missions, spacecraft survey data for exoplanets, sky surveys at radio, infrared, and optical wavelengths, data sets from gravitational wave detectors, and cosmological simulations of large scale structure in the universe. These data sets will provide attractive contexts for learning and applying modern analysis methods.
