101-0579-00L Infrastructure Management 2: Evaluation Tools
Semester | Spring Semester 2022 |
Lecturers | S. Moghtadernejad |
Periodicity | yearly recurring course |
Language of instruction | English |
Abstract | This 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. |
Learning objective | The 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 |
Content | Reliability Availability and maintainability Regression analysis Event trees Fault trees Markov chains Neural networks Bayesian networks |
Lecture notes | All necessary materials (e.g. transparencies and hand-outs) will be distributed before class. |
Literature | Appropriate reading material will be assigned when necessary. |
Prerequisites / Notice | Although 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. |