Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

101-0579-00L  Infrastructure Management 2: Evaluation Tools

SemesterSpring Semester 2020
LecturersB. T. Adey, C. Kielhauser
Periodicityyearly recurring course
Language of instructionEnglish


AbstractThis course provides tools to predict the service being provided by infrastructure in situations where the infrastructure is expected to

1) to evolve slowly with relatively little uncertainty over time, e.g. due to the corrosion of a metal bridge, and

2) to change suddenly with relatively large uncertainty, e.g. due to being washed away from an extreme flood.
ObjectiveThe course learning objective is to equip students with tools to be used to the service being provided from infrastructure.
The course increases a student's ability to analyse complex problems and propose solutions and to use state-of-the-art methods of analysis to assess complex problems
ContentReliability
Availability and maintainability
Regression analysis
Event trees
Fault trees
Markov chains
Neural networks
Bayesian networks
Lecture notesAll necessary materials (e.g. transparencies and hand-outs) will be distributed before class.
LiteratureAppropriate reading material will be assigned when necessary.
Prerequisites / NoticeAlthough not an official prerequisite, it is perferred that students have taken the IM1:Process course first. Understanding of the infrastructure management process enables a better understanding of where and how the tools introduced in this course can be used in the management of infrastructure.