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821098788 13W 3SWS VO Risk Analysis 2   Hilfe Logo

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Risk Analysis 2 
821098788
lecture
3
Winter semester 2013/14
Associate Professorship of Engineering Risk Analysis (Prof.Straub)
(Contact information)
Details
Allocations: 1 
Angaben zur Abhaltung
Probabilistic modeling with Bayesian networks, utility theory and decision analysis, decision graphs, consequence assessment, ris acceptance and risk management, sustainability aspects and selected topics.
Intention/aim of the course:
This course enables the student to analyze, manage and communicate risks in civil systems and environment. Understand uncertainty, utility, risk and decisions, utilize traditional tools for decision making under uncertainty, such as event and decision trees. Model complex engineering systems and decisions using Bayesian networks.
Risk Analysis 1 or equivalent
Students apply the principles learned during the course on a practical example or a research question. To the extent possible, this project should be in the field of specialization of the student (Vertiefung, study line). The project must result in a written report and a presentation.
English
lecture with exercises
The course will consist of weekly lectures, exercises from the fields of civil, environmental, structural and transportation engineering and a supervised project work.
Lectures will be given on the blackboard, including selected illustrations. Case studies should help the understanding of the problems. The lecture notes in PDF form will be distributed at the beginning of the semester.
Homework will be provided but is not compulsory.
The last four weeks of the course are dedicated to a project work, where students apply the principles learned during the course on a practical example or a research question. To the extent possible, this project should be in the field of specialization of the student (Vertiefung, study line). The course will terminate with presentations of the projects.
Details
Für die Anmeldung zur Teilnahme müssen Sie sich in TUMonline als Studierende*r identifizieren.
Zusatzinformationen
Online information
e-learning course (moodle)