## Stefan Wiemer: Katalogdaten im Herbstsemester 2017 |

Name | Herr Prof. Dr. Stefan Wiemer |

Lehrgebiet | Seismologie |

Adresse | Schweiz. Erdbebendienst (SED) ETH Zürich, NO H 61 Sonneggstrasse 5 8092 Zürich SWITZERLAND |

Telefon | +41 44 633 38 57 |

stefan.wiemer@sed.ethz.ch | |

Departement | Erdwissenschaften |

Beziehung | Ordentlicher Professor |

Nummer | Titel | ECTS | Umfang | Dozierende | |
---|---|---|---|---|---|

364-1058-00L | Risk Center Seminar Series Maximale Teilnehmerzahl: 50 | 0 KP | 2S | B. Stojadinovic, D. Basin, A. Bommier, D. N. Bresch, L.‑E. Cederman, P. Cheridito, P. Embrechts, H. Gersbach, H. R. Heinimann, M. Larsson, W. Mimra, G. Sansavini, F. Schweitzer, D. Sornette, B. Sudret, U. A. Weidmann, S. Wiemer, M. Zeilinger, R. Zenklusen | |

Kurzbeschreibung | 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. | ||||

Lernziel | 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. | ||||

Inhalt | 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. | ||||

Skript | 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. | ||||

Literatur | Literature will be provided by the speakers in their respective presentations. | ||||

Voraussetzungen / Besonderes | Participants should have relatively good mathematical skills and some experience of how scientific work is performed. | ||||

651-1694-00L | Seminar in Seismology | 0 KP | 1S | S. Wiemer, D. Fäh, D. Giardini | |

Kurzbeschreibung | Short seminars on a variety of popular topics in Seismology. The seminars present current problems and research activities in the seismological community. | ||||

Lernziel | Understanding of a broad scope of current problems and state-of-the-art practice in seismology. | ||||

651-4103-00L | Earthquakes II: Source Physics Findet dieses Semester nicht statt. | 3 KP | 2G | S. Wiemer | |

Kurzbeschreibung | This course teaches the fundamental principles to understand physical processes leading to and governing earthquake ruptures. To obtain that understanding we cover topics ranging from friction and fault mechanics to earthquake source descriptions. The acquired in-depth understanding will be applied to a topic of choice to practice research skills. | ||||

Lernziel | The aim of the course is to gain a fundamental understanding of the physical processes leading to and governing earthquake ruptures. This means that students will be able to: - describe earthquake sources both conceptually and mathematically, - explain processes affecting earthquake nucleation, propagation and arrest, - explain processes affecting inter-, co-, and postseismic, - differentiate source kinematic and dynamic concepts, - interpret earthquake source properties from both perspectives, - derive fundamental equations in elasto-statistics and dynamics, - interpret earthquake occurrences and put them in perspective, - address fundamental questions in earthquake physics, and - critically assess and discuss scientific literature. | ||||

Inhalt | We will cover a range of topics, including: - Basics of earthquake mechanics: definitions, faults, elastic rebound theory, and source parameters - Elastostatics: strain, stress, dislocation theory, - Elastodynamics: equation of motion, - Mathematical description of the source: Representation theorem, point and extended sources, source spectra, - Source dynamics: Linear Elastic Fracture Mechanics, - Fault mechanics and friction laws, - Seismic cycle: inter-, co-, post- and pre-seismic processes, - Rupture dynamics: nucleation, propagation and arrest, - Energy partitioning, - Source inversion, and - Earthquake statistics and interaction. To deepen our understanding their will be larger exercises on laboratory experiments, recurrence models, modeling of dynamic ruptures and seismic cycles and Coulumb stress changes. After a theoretical understanding has been acquired, we invite students to apply this knowledge to their topic of preference by presenting a group of state-of-the-art and/or classical papers as a final project. This will require them to understand and evaluate current challenges and state-of-the-art practices in earthquake physics. Additionally, this stimulates participants to improve their skills to: - critically analyze (to be) published papers, - disseminate knowledge within their own and neighboring research fields, - formulate their opinion, new ideas and broader implications, - present their findings to an audience, and - ask questions and actively participate in discussions on new scientific ideas. Potential topics can deepen the discussed topics or extend into active fields of research, such as spectra of slow slip, induced seismicity, earthquakes in different tectonics settings, earthquake statistics, stress drop, geodetic seismology, static and dynamic triggering, frictional formulations from laboratory experiments, aftershocks, earthquake early warning, tsunami's, and earthquake forecasting. | ||||

Skript | Course notes will be made available on a designated course web site. An overview of the discussed principles are available in the three books mentioned below. | ||||

Literatur | - The Mechanics of Earthquakes and Faulting by Ch. Scholz (2002), Cambridge University Press - Quantitative Seismology by K. Aki and P.G. Richards (2nd edition, 2002), University Science Books. - Source Mechanisms of Earthquakes, Theory and Practice by Udias, Madariaga and Buforn (2014), Cambridge University Press. | ||||

Voraussetzungen / Besonderes | This course will be taught in spring 2018 following Earthquakes 1: seismotectonics in Fall 2017. We recommend to have taken Earthquakes 1: Seismotectonics, although a decent understanding of physics, mathematics (i.e. linear algebra, tensor calculus, and differential equations), seismology, and/or continuum mechanics surely compensates for that. The course will be evaluated in 2 parts: - a final exam at the end of the course, - a presentation discussing a topic of chose based on a group of suggested papers The course will be worth 3 credit points, and a satisfactory total grade (4 or better) is needed to obtain 3 ECTS. The final writing exam has a weight of 70% and the presentation weighs for 30%. The course will be given in English. | ||||

651-4271-00L | Erdwissenschaftliche Datenanalyse und Visualisierung mit Matlab | 3 KP | 3G | S. Wiemer, G. De Souza, T. Tormann | |

Kurzbeschreibung | Die Vorlesung und dazugehörige Übung geben den Studierenden eine Einführung in die Konzepte und Werkzeuge der wissenschaftlichen Datenanalyse. Anhand von praktischen erdwissenschaftlichen Problemstellungen werden in Kleingruppen und Einzelarbeit Aufgaben von wachsender Komplexität mit der Software MATLAB gelöst. Dabei lernen die Studierenden auch, Datensätze effektvoll zu visualisieren. | ||||

Lernziel | Die folgenden Konzepte werden vorgestellt: - Effektvolle Datenanalyse und Visualisierung in 2D und 3D - Arbeiten mit Matrizen und Arrays - Programmieren und Algorithmenentwicklung - Animationen sinnvoll einsetzen - Einen Datensatz statistisch erfassen - Interaktives Datamining - Unsicherheiten, Fehlerfortpflanzung und Bootstrapping - Regressionsanalysen - Testen von Hypothesen |