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

SemesterSpring Semester 2021
LecturersB. T. Adey, S. Kerwin, S. Moghtadernejad
Periodicityyearly recurring course
Language of instructionEnglish


101-0579-00 GInfrastructure Management 2: Evaluation Tools2 hrs
Tue09:45-11:30HIL E 8 »
B. T. Adey, S. Kerwin, S. Moghtadernejad

Catalogue data

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
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.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits6 credits
ExaminersB. T. Adey, S. Kerwin, S. Moghtadernejad
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examinationzwei individuelle Projekte
Projekt 1 = 40% von der Gesamtnote
Projekt 2 = 60% von der Gesamtnote

Learning materials

No public learning materials available.
Only public learning materials are listed.


No information on groups available.


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Offered in

Civil Engineering MasterDigitalisation Specific CoursesWInformation
Civil Engineering MasterMajor in Construction and Maintenance ManagementW+Information
Civil Engineering MasterMajor in Transport SystemsWInformation
Integrated Building Systems MasterSpecialised CoursesWInformation
Spatial Development and Infrastructure Systems MasterNetwork InfrastructureWInformation