Time series play a central role in many areas of environmental and geosciences — from the analysis of seismic waves and climate data to ocean currents and atmospheric processes. In this course, students learn methods for processing such data, identifying patterns, and gaining a deeper understanding of the underlying processes.

This colloquium comprises geophysical research presentations by invited leading scientists from Europe and overseas, advanced ETH Ph.D. students, new and established ETH scientists with specific new work to be shared with the institute. Topics cover the field of geophysics and related disciplines, to be delivered at the level of a well-informed M.Sc. graduate/early Ph.D. student.

This lecture and the corresponding exercises provide the students with an introduction to the concepts and tools of programming and scientific data analysis. Using examples from Earth Sciences, the students solve problems of increasing complexity using the programming language Python. Students also learn how to effectively visualise different kinds of datasets.

The geophysical field lab is a hands-on introduction into several methods of geophysical prospecting. During the field lab eight techniques are explored in half-day field experiments: Active Seismic, seismic noise measurements, gravimetrie, geomagnetics, geoelectrics, GPR, EM and geothermal measurements.

This course provides an overview on the most widely used seismological methods to image the Earth’s interior with a focus on crustal and upper-mantle structures. Topics include controlled source methods such as refraction and wide-angle reflection, as well as passive body-wave and surface-wave based methods. The course will discuss the strengths and weaknesses of each method.