SIE522
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SIE522 - Engineering Decision Making Under Uncertainty
Course ID
031137
Course Description
Application of principles of probability and statistics to the design and control of engineering systems in a random or uncertain environment. Emphasis is placed on Bayesian decision analysis. Graduate-level requirements include a semester research project.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Attributes
GIDP - STATD (Statistics and Data Science)
Course Requisites
May be convened with
SIE422
Component
Lecture
Optional Component
No