From 2 November 2020, the autumn semester 2020 will take place online. Exceptions: Courses that can only be carried out with on-site presence. Please note the information provided by the lecturers via e-mail.

Giovanni Sansavini: Catalogue data in Spring Semester 2020

Name Prof. Dr. Giovanni Sansavini
FieldReliability and Risk Engineering
Address
Reliability and Risk Engineering
ETH Zürich, LEE M 201
Leonhardstrasse 21
8092 Zürich
SWITZERLAND
Telephone+41 44 632 50 38
E-mailsansavig@ethz.ch
URLhttp://www.rre.ethz.ch/
DepartmentMechanical and Process Engineering
RelationshipAssociate Professor

NumberTitleECTSHoursLecturers
151-0280-00LAdvanced Techniques for the Risk Analysis of Technical Systems4 credits2V + 1UG. Sansavini
AbstractThe course provides advanced tools for the risk/vulnerability analysis and engineering of complex technical systems and critical infrastructures. It covers application of modeling techniques and design management concepts for strengthening the performance and robustness of such systems, with reference to energy, communication and transportation systems.
ObjectiveStudents will be able to model complex technical systems and critical infrastructures including their dependencies and interdependencies. They will learn how to select and apply appropriate numerical techniques to quantify the technical risk and vulnerability in different contexts (Monte Carlo simulation, Markov chains, complex network theory). Students will be able to evaluate which method for quantification and propagation of the uncertainty of the vulnerability is more appropriate for various complex technical systems. At the end of the course, they will be able to propose design improvements and protection/mitigation strategies to reduce risks and vulnerabilities of these systems.
ContentModern technical systems and critical infrastructures are complex, highly integrated and interdependent. Examples of these are highly integrated energy supply, energy supply with high penetrations of renewable energy sources, communication, transport, and other physically networked critical infrastructures that provide vital social services. As a result, standard risk-assessment tools are insufficient in evaluating the levels of vulnerability, reliability, and risk.
This course offers suitable analytical models and computational methods to tackle this issue with scientific accuracy. Students will develop competencies which are typically requested for the formation of experts in reliability design, safety and protection of complex technical systems and critical infrastructures.
Specific topics include:
- Introduction to complex technical systems and critical infrastructures
- Basics of the Markov approach to system modeling for reliability and availability analysis
- Monte Carlo simulation for reliability and availability analysis
- Markov Chain Monte Carlo for applications to reliability and availability analysis
- Dependent, common cause and cascading failures
- Complex network theory for the vulnerability analysis of complex technical systems and critical infrastructures
- Basic concepts of uncertainty and sensitivity analysis in support to the analysis of the reliability and risk of complex systems under incomplete knowledge of their behavior
Practical exercitations and computational problems will be carried out and solved both during classroom tutorials and as homework.
Lecture notesSlides and other materials will be available online
LiteratureThe class will be largely based on the books:
- "Computational Methods For Reliability And Risk Analysis" by E. Zio, World Scientific Publishing Company
- "Vulnerable Systems" by W. Kröger and E. Zio, Springer
- additional recommendations for text books will be covered in the class
Prerequisites / NoticeFundamentals of Probability
364-1058-00LRisk Center Seminar Series0 credits2SA. Bommier, D. Basin, D. N. Bresch, L.‑E. Cederman, P. Cheridito, H. Gersbach, G. Sansavini, F. Schweitzer, D. Sornette, B. Stojadinovic, 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 and governing complex socio-economic systems, and managing risks 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 and approaches for open problems, to analyze them with computers or other means, 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 seminar. Students and other guests are welcome.
Lecture notesThere is no script, but the sessions will be recorded and be made available. 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 scientific, in particular mathematical skills and some experience of how scientific work is performed.