3 credits
Spring 2026 Lecture Distance Learning Departmental CreditUpper Division
Basic concepts of probability and random variables. Time-dependent reliability models. Strength-based reliability and interference theory. Weakest-link and fail-safe systems. Extremal distributions. Monte Carlo methods. Maintainability and availability. Fault tree analysis. Quality control and reliability. Offered in alternate years.
Learning Outcomes1Enable students to understand the importance of reliability during the design of engineered products.
2Learn common probability distributions and fit probability distributions to experimentally obtained failure data.
3Learn to describe and manipulate expectation and variance of continuous functions.
4Understand principles of probabilistic design of engineered products.
5Carryout reliability simulations of complex systems using Monte Carlo and first order reliability methods.
6Understand important failure concerns in mechanical and electronic systems.
Prerequisites
Restrictions
made by Purdue students.