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.

This second part of the course on Inverse Theory provides an introduction to the numerical solution of (non-)linear inverse problems including uncertainty quantification. Specific examples are drawn from different areas of geophysics and image processing. Students solve various model problems using Jupyter notebooks (in Julia), and familiarize themselves with relevant open-source libraries.