Stefan Wiemer: Catalogue data in Autumn Semester 2020 |
| Name | Prof. Dr. Stefan Wiemer |
| Field | Seismology |
| Address | Schweiz. Erdbebendienst (SED) ETH Zürich, NO H 61 Sonneggstrasse 5 8092 Zürich SWITZERLAND |
| Telephone | +41 44 633 38 57 |
| stefan.wiemer@sed.ethz.ch | |
| Department | Earth and Planetary Sciences |
| Relationship | Full Professor |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 364-1058-00L | Risk Center Seminar Series | 0 credits | 2S | B. Stojadinovic, D. Basin, A. Bommier, D. N. Bresch, L.‑E. Cederman, P. Cheridito, H. Gersbach, G. Sansavini, F. Schweitzer, D. Sornette, B. Sudret, S. Wiemer, M. Zeilinger, R. Zenklusen | |
| Abstract | This course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling complex socio-economic systems and crises. Students and other guests are welcome. | ||||
| Learning objective | Participants should learn to get an overview of the state of the art in the field, to present it in a well understandable way to an interdisciplinary scientific audience, to develop novel mathematical models for open problems, to analyze them with computers, and to defend their results in response to critical questions. In essence, participants should improve their scientific skills and learn to work scientifically on an internationally competitive level. | ||||
| Content | This course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling complex socio-economic systems and crises. For details of the program see the webpage of the colloquium. Students and other guests are welcome. | ||||
| Lecture notes | There is no script, but a short protocol of the sessions will be sent to all participants who have participated in a particular session. Transparencies of the presentations may be put on the course webpage. | ||||
| Literature | Literature will be provided by the speakers in their respective presentations. | ||||
| Prerequisites / Notice | Participants should have relatively good mathematical skills and some experience of how scientific work is performed. | ||||
| 651-1694-00L | Seminar in Seismology | 0 credits | 1S | S. Wiemer, D. Fäh, D. Giardini | |
| Abstract | Short seminars on a variety of popular topics in Seismology. The seminars present current problems and research activities in the seismological community. | ||||
| Learning objective | Understanding of a broad scope of current problems and state-of-the-art practice in seismology. | ||||
| 651-3440-02L | Geophysics III | 4 credits | 3G | A. Jackson, P. Tackley, S. Wiemer | |
| Abstract | 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. | ||||
| Learning objective | To teach students the basics of observational seismology, earthquake source seismology, seismotectonics and the principle of seismic tomography, mantle convection over Earth history, structure of the oceanic and continental lithosphere, plate tectonics, hotspots, global heat flux, dynamo operation and magnetic field generation in Earth, planets, the Sun and stars and electromagnetism to probe the mantle. | ||||
| Content | Observational seismology, earthquake source seismology, seismotectonics and the principle of seismic tomography. Mantle convection over Earth history, structure of the oceanic and continental lithosphere, plate tectonics, hotspots, global heat flux. Dynamo operation and magnetic field generation in Earth, planets, the Sun and stars; electromagnetism to probe the mantle. | ||||
| 651-4271-00L | Data Analysis and Visualisation with Matlab in Earth Sciences  | 3 credits | 3G | G. De Souza, A. Obermann, S. Wiemer | |
| Abstract | This lecture and the corresponding exercises provide the students with an introduction to the concepts and tools of scientific data analysis. Based on current questions in the Earth Sciences, the students solve problems of increasing complexity both in small groups and singly using the software package MATLAB. Students also learn how to effectively visualise different kinds of datasets. | ||||
| Learning objective | The following concepts are introduced in the course: - Working with matrices and arrays - Programming and development of algorithms - Effective data analysis and visualisation in 2D and 3D - Learning to effectively use animations - Statistical description of a dataset - Regression analysis - Testing hypotheses | ||||