Stefan Wiemer: Katalogdaten im Herbstsemester 2016 |
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 | |
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364-1058-00L | Risk Center Seminar Series Maximale Teilnehmerzahl: 50 | 0 KP | 2S | H. Gersbach, D. Basin, A. Bommier, L.‑E. Cederman, H. R. Heinimann, H. J. Herrmann, W. Mimra, G. Sansavini, F. Schweitzer, D. Sornette, B. Stojadinovic, B. Sudret, S. Wiemer | |
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. | ||||
651-3341-00L | Lithosphäre Voraussetzung: erfolgreiche Besuch von Dynamische Erde I und II. Der Kurs wird letztmals im HS16 angeboten. | 3 KP | 2V | S. Wiemer, E. Kissling | |
Kurzbeschreibung | Verständnis der Rolle(n) der ozeanischen und kontinentalen Lithosphäre und ihrer verschiedenen Teile in der Geodynamik und Evolution der Erde. Grundlegende Kenntnisse über die Geothermik sowie deren Mess- und Modellierungsmethoden und der Rheologie des Mantels und der Lithosphäre. | ||||
Lernziel | Verständnis der Rolle(n) der ozeanischen und kontinentalen Lithosphäre und ihrer verschiedenen Teile in der Geodynamik und Evolution der Erde. Grundlegende Kenntnisse über die Geothermik sowie deren Mess- und Modellierungsmethoden und der Rheologie des Mantels und der Lithosphäre. | ||||
Inhalt | Konzept der Lithosphäre in der Plattentektonik; Physik, Chemismus und Rheologie von Kruste und oberstem Mantel; System von Entstehen und Vergehen der ozeanischen Lithosphäre und der davon separierten langsameren Entwicklung der Kontinente; ozeanische Lithosphäre: thermische und chemische Entwicklung, Auskühlung, mechanisches Verhalten; kontinentale Lithosphäre: thermische und chemische Entwicklung, mechanisches Verhalten; Wachsen eines Kontinentes am Beispiel der Lithosphäre von Europa; Subduktionszonen. Dieser Kurs enthält die Grundlagen der Rheologie und der Geothermie des Mantel-Lithosphäre-Krusten-Systems. | ||||
Skript | Ausführliches Skriptum in digitaler Form und weitere Lernmodule (www.lead.ethz.ch) auf dem intranet vorhanden. | ||||
Literatur | siehe Skriptum | ||||
Voraussetzungen / Besonderes | PPT-files für jede Doppelstunde können zur Nachbearbeitung auf www.lead.ethz.ch eingesehen werden. | ||||
651-4103-00L | Earthquakes Source Physics Findet dieses Semester nicht statt. Die Lerneinheit findet im HS17 wieder statt. | 3 KP | 2G | S. Wiemer | |
Kurzbeschreibung | This course teaches the fundamental principles to understand physical processes leading to and governing earthquake source ruptures. To obtain that understanding we cover topics ranging from friction and fault mechanics up to earthquake source descriptions. The acquired understanding will be applied to a topic of choice to practice research skills. | ||||
Lernziel | The aim of the course is to gain a thorough understanding of the physical processes leading to and governing earthquake source ruptures. Finally, this understanding will be applied to analyze a state-of-the-art earthquake physics topic of choice. | ||||
Inhalt | We will cover a range of topics, including: - Earthquake basics: definitions, faults, elastic rebound theory, and source parameters. - Introduction to elastodynamics: strain, stress, equation of motion. - Mathematical description of the source: - Representation theorem, point and extended sources, source spectra. - Energy partitioning - Source dynamics: Linear Elastic Fracture Mechanics - Fault mechanics and friction - Seismic cycle: inter-, co-, and post-seismic processes - Aseismic creep and slow slip transients - Earthquake source inversion and data assimilation - Recurrence models - Modeling of dynamic ruptures and seismic cycles 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 - ask questions and actively participate in discussions on new scientific ideas | ||||
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 concerns a bi-yearly course that will be taught again in Fall 2017. The course will be evaluated in 2 parts: - a two hours final exam at the end of the course, - a presentation discussing a topic of chose based on a group of suggested papers The course is 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 | 2G | 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 |