This course builds on Geophysik I and Geophysik II, broadening the students' education in seismology, geodynamics and geodynamo theory, by considering various specific topics of particular interest.

This is a 7-week hands-on course on the basics of machine learning and neural networks (first 7 weeks of semester). With numerous examples from across the geosciences we learn how to use supervised machine learning techniques to solve geoscience problems in a data driven way.

In this class you tackle an individual research problem by applying the machine learning methods you learned in Machine Learning for Earth and Planetary Science I and/or Machine Learning for Earth and Planetary Science II. Takes place in weeks 8-15 of the semester.