Course - Model Based System Engineering - Model Based Safety Assessment - PK8213
PK8213 - Model Based System Engineering - Model Based Safety Assessment
About
Examination arrangement
Course content
To face the increasing complexity of technical systems, the different engineering disciplines have virtualized their content to a large extent: each industrial system comes now with hundreds if not thousands of models. These models are used not only in the design phase of systems, but also for their operation and even for their decommissioning.
This course is about models, with a special focus on risk assessment models.
It is organised as a series of seminars on various subjects related to model-based system engineering and model-based safety assessment: mathematical frameworks, algorithms and heuristics, modeling languages and paradigms, modeling methodologies and best practices, safety standards...
Examples of topics: perspective on system architecture; mathematical models of degradation; finite state automata, high level modeling languages; advanced data-structures and algorithms for probabilistic risk analysis; optimization methods, safety integrity levels...
Learning outcome
The course gives a vision of some active research topics and a state of the art on model-based system engineering and model based safety assessment.
Learning methods and activities
Seminars will be given by professors of the RAMS group at IPK or invited professors.
Aside attending seminars, students will be assigned an individual homework. This homework will typically consist in studying a (reasonable size) use case, designing a model for that use case, performing some experiments on that model and reporting the results of these experiments.
The use case will be preferably related to their PhD subject.
Further on evaluation
Portfolio assessment is the basis for the grade in the course. The portfolio includes case exercises counting 50 % and an oral exam counting 50 %. The results for the entire portfolio are graded passed or not passed. Passed requires at least 70 % score in total for the Portfolio.
Recommended previous knowledge
A basic knowledge of methods for risk analysis is recommended.
Some knowledge of programming is also useful.
Required previous knowledge
None
Course materials
A list of scientific articles or book chapters will be given for each seminar, in addition to the slides that will aim at giving a self-content overview of the subjects.
No
Version: 1
Credits:
7.5 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: SPRING 2019
Language of instruction: English
Location: Trondheim
- Production and Quality Engineering
Department with academic responsibility
Department of Mechanical and Industrial Engineering
Examination
Examination arrangement: Portfolio assessment
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Muntlig eksamen 50/100 D
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Room Building Number of candidates - Autumn ORD Oppgave 50/100 A
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Room Building Number of candidates - Spring ORD Muntlig eksamen 50/100 D
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Room Building Number of candidates - Spring ORD Oppgave 50/100 A
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Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"