ENGR 605 - Risk Analysis for Engineers

Applications of probability and decision analysis to engineering problems. Emphasis is placed on probabilistic modeling and analysis of engineering problems. Quantitative techniques for risk-based analysis in engineering, and decision making under uncertainty. Implementation of artificial intelligence for risk analysis.

Strongly Recommended Preparation: College Statistics course
Possible Instructional Methods: On-ground.
Grading: A-F grading only.
Course Typically Offered: Fall ONLY


Student Learning Outcomes - Upon successful completion of this course students will be able to:
 

1. Students will create probabilistic models for the analysis of engineering management and environmental engineering problems, and for risk analysis.
2. Students will evaluate AI methods to support probabilistic modeling, risk analysis, and decision making under uncertainty.