Stefan Wiemer: Katalogdaten im Herbstsemester 2020

NameHerr Prof. Dr. Stefan Wiemer
LehrgebietSeismologie
Adresse
Schweiz. Erdbebendienst (SED)
ETH Zürich, NO H 61
Sonneggstrasse 5
8092 Zürich
SWITZERLAND
Telefon+41 44 633 38 57
E-Mailstefan.wiemer@sed.ethz.ch
DepartementErdwissenschaften
BeziehungOrdentlicher Professor

NummerTitelECTSUmfangDozierende
364-1058-00LRisk Center Seminar Series0 KP2SB. 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
KurzbeschreibungThis 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.
LernzielParticipants 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.
InhaltThis 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.
SkriptThere 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.
LiteraturLiterature will be provided by the speakers in their respective presentations.
Voraussetzungen / BesonderesParticipants should have relatively good mathematical skills and some experience of how scientific work is performed.
651-1694-00LSeminar in Seismology0 KP1SS. Wiemer, D. Fäh, D. Giardini
KurzbeschreibungShort seminars on a variety of popular topics in Seismology. The seminars present current problems and research activities in the seismological community.
LernzielUnderstanding of a broad scope of current problems and state-of-the-art practice in seismology.
651-3440-02LGeophysics III4 KP3GA. Jackson, P. Tackley, S. Wiemer
KurzbeschreibungThis 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.
LernzielTo 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.
InhaltObservational 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.
651-4271-00LErdwissenschaftliche Datenanalyse und Visualisierung mit Matlab Belegung eingeschränkt - Details anzeigen 3 KP3GG. De Souza, A. Obermann, S. Wiemer
KurzbeschreibungDie 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.
LernzielDie folgenden Konzepte werden vorgestellt:
- Arbeiten mit Matrizen und Arrays
- Programmieren und Algorithmenentwicklung
- Effektvolle Datenanalyse und Visualisierung in 2D und 3D
- Animationen sinnvoll einsetzen
- Einen Datensatz statistisch erfassen
- Regressionsanalysen
- Testen von Hypothesen