Probabilistic Engineering Design
ME 59700/ 3 Cr.
This course presents probabilistic methodologies of engineering design under uncertainty. It is intended for students who are interested in statistical/probabilistic methods for engineering analysis and design. The outcomes of the course are 1) an ability to model uncertainties in engineering applications, 2) an ability to perform basic statistics, risk, and reliability analyses, and 3) an ability to integrate probabilistic design with simulations, optimization, Design for Six Sigma, and Design of Experiments.
Primary Track: Design
- Available Online: No
- Credit by Exam: No
- Laptop Required: No
Outcomes
- Describe uncertainty modeling with statistics and probability theory [1]
- Model engineering problems probabilistically [1]
- Predict product reliability and robustness [1]
- Design components with reliability and robustness considerations [1]
- Interpret analysis predictions and design results [1]
- Write a technical paper [3]
Topics
- Uncertainty modeling
- Probability theory
- Statistics
- System reliability
- Uncertainty analysis
- Monte Carlo simulation
- Reliability analysis
- Robustness assessment
- Sensitivity analysis
- Design under uncertainty
- Design optimization
- Reliability based design
- Robust design
- Design for Six Sigma
- Integrated probabilistic design
- Case studies