Probability and Its Applications to Risk, Reliability, and Quality Control

Lecture, four hours; discussion, two hours; outside study, six hours. Requisite: Mathematics 33A. Introduction to probability theory; random variables, distributions, functions of random variables, models of failure of components, reliability, redundancy, complex systems, stress-strength models, fault tree analysis, statistical quality control by variables and by attributes, acceptance sampling. Letter grading.

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Course

Instructor
Swider, J.
Previously taught
14W 12W 11W 10W

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