MS&E250A
Engineering Risk Analysis
Management Science and Engineering
ENGR - School of Engineering
Course Description
Techniques of analysis of risk management decisions in engineering and other systems involving preferences and trade-offs (technical, human, environmental aspects). Elements of decision analysis; probabilistic risk analysis in the public or private sector (fault trees, event trees, systems dynamics); Bayesian updating and learning (elementary notions of quantum computing for complex cases); value of tests, economic analysis of failure consequences (human safety and long-term economic discounting); case studies such as space systems, nuclear power plants, medical systems and cyber security. Pre-requisites: probability, stochastic processes, and convex optimization.
Grading Basis
ROP - Letter or Credit/No Credit
Min
3
Max
3
Course Repeatable for Degree Credit?
No
Course Component
Lecture
Enrollment Optional?
No
Does this course satisfy the University Language Requirement?
No
Programs
MS&E250A
is a
completion requirement
for: