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Course Catalog 2014-2015
ASE-8016 Advanced Topics in Automation Science and Engineering , 1 cr
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Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Lecture times and places |
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Description:
Bayesian data analysis [2 credits]. This short course is an introduction to the use of Matlab/JAGS software for statistical modelling of engineering systems data. The textbook is Kelly & Smith (2011): Bayesian Inference for Probabilistic Risk Assessment, A Practitioner's Guidebook (available on-line). Topics include: inference and prediction for lifetime/duration and count data, model checking, regression, missing data. Pass requirement: presentation of computer modelling homework solutions at 4 exercise sessions. Grade is pass/fail.
Person responsible:
Robert Piche
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course