Hans Rudolf Heinimann: Catalogue data in Autumn Semester 2019

Name Prof. em. Dr. Hans Rudolf Heinimann
FieldForstliches Ingenieurwesen
Address
Inst. f. Terrestrische Oekosysteme
ETH Zürich, CHN F 73.2
Universitätstrasse 16
8092 Zürich
SWITZERLAND
Telephone+41 44 632 32 35
E-mailhans.heinimann@env.ethz.ch
DepartmentEnvironmental Systems Science
RelationshipProfessor emeritus

NumberTitleECTSHoursLecturers
364-1058-00LRisk Center Seminar Series0 credits2SB. Stojadinovic, D. Basin, A. Bommier, D. N. Bresch, L.‑E. Cederman, P. Cheridito, H. Gersbach, H. R. Heinimann, M. Larsson, G. Sansavini, F. Schweitzer, D. Sornette, B. Sudret, U. A. Weidmann, S. Wiemer, M. Zeilinger, R. Zenklusen
AbstractThis 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.
ObjectiveParticipants 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.
ContentThis 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 notesThere 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.
LiteratureLiterature will be provided by the speakers in their respective presentations.
Prerequisites / NoticeParticipants should have relatively good mathematical skills and some experience of how scientific work is performed.
701-0565-00LFundamentals of Natural Hazards Management3 credits3GH. R. Heinimann, B. Krummenacher, S. Löw
AbstractRisks to life and human assets result when settlement areas and infrastructure overlap regions where natural hazard processes occur. This course utilizes case studies to teach how a future natural hazards-specialist should analyze, assess and manage risks.
ObjectiveConcepts will be explained step-by-step through a set of case studies, and applied in lab by the students. The following principal steps are used when coping with natural hazard-risks. At each step, students will learn and apply the following skills:
Risk analysis - What can happen?
-Characterize the processes and environmental measures that lead to a natural hazard and integrate modeling results of these processes.
- Identify threats to human life and assets exposed to natural hazards and estimate possible drawbacks or damages.
Risk assessment - What are the acceptable levels of risk?
- Apply principles to determine acceptable risks to human life and assets in order to identify locations which should receive added protection.
- Explain causes for conflicts between risk perception and risk analysis.
Risk management - What steps should be taken to manage risks?
- Explain how various hazard mitigation approaches reduce risk.
- Describe hazard scenarios as a base for adequate dimensioning of control measures.
- Identify the best alternative from a set of thinkable measures based on an evaluation scheme.
- Explain the principles of risk-governance.
ContentDie Vorlesung besteht aus folgenden Blöcken:
1) Einführung ins Vorgehenskonzept (1W)
2) Risikoanalyse (6W + Exkursion) mit:
- Systemabgrenzung
- Gefahrenbeurteilung
- Expositions- und Folgenanalyse
3) Risikobewertung (2W)
4) Risikomanagement (2W + Exkursion)
5) Abschlussbesprechung (1W)