Risikobewertung und Systemzuverlässigkeit

What it is about

You learn how to assess, model, and manage risks and reliability of technical systems. In the end you can apply systematic methods of risk analysis and system reliability, select suitable models, and implement results with the help of computing tools (e.g. Matlab).

What you will be able to do

• Understanding of Reliability, Risk, Utility and decisions
• Application of traditional tools such as Fault and Event Trees
• Selection of appropriate system models for reliability assessment
• Modeling of complex systems and decisions under uncertainty
• Identification of important components and failure modes
• Evaluation of risk acceptance criteria
• Planning of risk management measures
• Application of sampling and simulation methods for system reliability
• Implementation of the methods in computing tools (e.g. Matlab)

What the module consists of

• LectureConveying the theoretical foundations and practical examples
• ExerciseApplication of lecture content using tasks and case studies

Teaching method

• Whiteboard lecture supported by slidesIntroduction and derivation of the content as well as illustration of selected examples
• Case studiesDeepening understanding through concrete application examples from various engineering disciplines
• Homework/ExercisesAccompanying practice of the methods
• Lecture notes (PDF)Provision of material at the beginning of the semester for preparation and review