Course - Resilience and Dynamic Risk Analysis - PK8224
Resilience and Dynamic Risk Analysis
About
About the course
Course content
The course will be given every second year, next time is autumn 2025. The course is a response to the two trends in the fields of RAMS: 1) systems are becoming more complex with combining hardware, software and communications, and 2) the time slots for decision-making are shorter. A system unaffected or little affected by hazardous events is wanted, and thus it is necessary to understand how the system proactively ensures that things are under control and reacts when things are out of control. For this reason, we need to analyze system risks in a dynamic way, and make the system resilient. The main themes of this course include the methods and techniques for system prognosis and health management, assessment of system responsiveness and adaptability, analysis of networked systems and cyber-physical systems, interdependency analysis,
Learning outcome
Knowledge:
The students will get a thorough insight into the research status of system resilience engineering and dynamic risk analysis. The students should also recognize the state-of-art research activities in the fields, and identify relevant research opportunities around their own topics.
Skills:
The students shall be able to utilize models, methods and tools introduced and shared in this course into their own researches.
General competence:
The students shall be able to understand how system resilience is achieved and how dynamic risk analysis is conducted. The students should also learn how to write a draft for a scientific paper to an international conference or journal.
Learning methods and activities
The course is conducted as a series of 1-day seminars. The first one is lectured primarily by the course responsible and invited lecturers., while the other seminars include topics that are presented by the participants.
Further on evaluation
The participants need to produce a paper in a conference format during the semester and present it in the last seminar. Then, the participants will deliver the final paper for evaluation by the agreed deadline.
Recommended previous knowledge
Knowledge from TPK4120 and TPK5160 for understanding system reliability and risk analysis.
Required previous knowledge
All students taking this course must be enrolled in a PhD program at NTNU or a different university.
Course materials
Selected papers in journals and conferences, and other published research reports.
Subject areas
- Computer and Information Science
- Safety, Reliability and Maintenance
- Engineering
- Operations and Maintenance Management
- Risk Analysis