This seminar will explore one of a variety of subjects in greater depth than in introductory courses. Possible topics include stars, galaxies, the solar system, the interstellar medium, relativity and cosmology, history of astronomy, observational astronomy, and life in the universe.

This is an introductory course in scientific programming with emphasis on learning the techniques used to model the universe and analyze data - no python experience is necessary. The focus of the course will be less on theoretical/mathematical aspects but instead on the application and implementation of practical computational techniques useful throughout the physical sciences. In particular we will extensively use the python numpy/scipy/matplotlib stack to create programs and apply them to data drawn from a number of real world sources (astronomy, physics, finance, etc.).

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Requirements class fulfills