It is believed that students having completed the present course will be able to:
Develop probabilistic engineering models for the purpose of risk assessment
Formulate and perform decision analysis
Structure and conduct risk assessments
Perform reliability analysis for technical and structural components and systems
Critically assess optimality and acceptability of decision alternatives
Structure and organization of the course
The course is conducted in the form of 13 weekly lectures. In addition to the lectures also
exercises are available on http://www.ibk.ethz.ch/fa/education/ws_safety/ for the students to
practice and apply their knowledge. It is assumed that the students will use approximately 90
minutes per week for self study per week. The student will have the possibility to seek
assistance during weekly consultation hours which will be announced at the beginning of the
course.
Lectures:
The lectures are targeted at providing the students with the most important aspects of the
theoretical and methodical material which may also be found in the present lecture notes.
However, the lectures will also focus on the philosophical background for the development
and use of the theoretical background and are thus to be understood as partly complementary
to the material of the lecture notes. It is assumed and strongly suggested that the students
study and become familiar with the lecture notes.
Educational support material for the course
The course is supported by the present script which provides the theory being taught during
the lectures. All material for the course will be made available partly prior to the start of the
course and partly during the course on the home page
http://www.ibk.ethz.ch/fa/education/ws_safety/
The course material contains besides the lecture notes also the Power Point presentations used
for the lectures as well the solved exercises for each exercise tutorial. The lecture notes will
be made available on the home page prior to the start of the course. The Power Point files of
lectures will be uploaded on the course’s web page the latest one day before the respective
lecture.
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