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Courses - Spring 2022
Engineering, Civil Department Site
Bayesian Data Analytics for Engineering
Credits: 3
Grad Meth: Reg, Aud
Recommended: ENCE627.
Introduction to identifying, analyzing, assessing, and managing data inherent to engineering projects. Includes: statistical principles, concepts, and models; decision science aspects of data systems; Bayesian methods; measurement theory; subjective aspects of statistics and data appraisal. Examples are drawn from software development, systems integration, and other large engineering projects. Covers statistical basics, subjective probability, Bayesian data analysis, introduction to decision theory, Monte Carlo simulation, value of information, and risk-based decision making from data.