Description:

The present course provides the background, methods and tools for decision analysis on the optimal management of engineered systems.

Topics/lectures of the course include:

  • Statistics and Bayesian probability theory
  • Bayesian decision analysis
  • Information management
  • Probabilistic system characteristics
  • Optimization and acceptance criteria
  • Time invariant/variant reliability methods
  • Monte Carlo techniques
  • Modern systems reliability techniques
  • Bayesian Nets and Bayesian modeling
  • Big Data techniques
  • Applications

Application domains include, but are not limited to energy production systems, traffic infrastructure systems, buildings and structures, offshore and marine systems.

The course consists of lectures, exercises, mini-projects and self-study. Lecture notes will be provided in advance of the course.

Participants
The course is intended for PhD students, academics and professionals from the industry and public authorities, working in the field of risk informed management of engineered facilities and structures in the area of civil engineering, such as:
• Bridges, tunnels and roadway systems
• Wind turbines and wind turbine parks
• Electricity grid systems
• Offshore oil and gas production facilities
The course is offered at national and international level. All lectures will be given in English.

ECTS: 5.0 

Organiser: Professor Michael Havbro Faber, Department for the Built Environment, AAU.

Lectures: 

Professor M. H. Faber, AAU, DK

Professor J. D. Sørensen, AAU, DK

PhD, M. Schubert, Matrisk GmbH, CH

Professor J. Nielsen, AAU, DK

PhD Fellow, S. Tølbøll Glavind, AAU, DK

PhD Fellow, J. G. Sepúlveda Astudillo, AAU, DK

Post Doc H. Brüske, AAU, DK

Post Doc José Guadalupe Rangel Ramirez, AAU, DK

Course location: Department for the Built Environment, Thomas Manns Vej 23, 9220 Aalborg Ø, Denmark

Dates: 25-29 May 2020.    New course dates will be announced soonest possible.

Course registration deadline: 4 May 2020.

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.