At the end of the course, the student will be able to describe and discuss combinatorial methods and state-based approaches for the assessment of safety and security aspects in the context of transport and logistic systems. In particular, the student will be able to create models for safety and reliability assessment based on Fault Tree Analysis, Event Tree Analysis, Bayesian networks, Petri nets and Markov chains.
At the end of the course the student will have acquired the fundamental notions for the assessment of safety and security aspects in the context of transport systems through the application of different alternative methodologies.
The course takes place in a classroom. During the lessons, the professor shows slides (which are made available to the students through Aulaweb, before the lesson) on the various topics of the course and, in some cases, he uses the blackboard to explain in detail some specific contents.
Ricevimento: The professor receives by appointment (write an email to fix the appointment).
NICOLA SACCO (President)
MUHAMMAD TABISH BILAL
ALICE CONSILVIO
ANGELA DI FEBBRARO
FEDERICO GALLO
DAVIDE GIGLIO (President Substitute)
https://corsi.unige.it/10377/p/studenti-orario
The exam consists of an oral test.
Students with learning disorders ("Disturbi Specifici di Apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities.
The student's assessment is carried out through an oral test in which the student is asked to illustrate (on the blackboard) the theoretical topics of the course and to solve (on the blackboard) some exercises. The student must demonstrate that he/she has acquired a sufficient knowledge of the topics illustrated in class and that he/she is able to solve simple problems of modeling and analysis of transport systems from the safety and security points of view.
It is mandatory to register for the exam through the online services at least 5 days in advance (deadline established by the University of Genoa).
