printer friendly pageCEE 203: Probabilistic Models in Civil Engineering
Introduction to probability modeling and statistical analysis in civil engineering. Emphasis is on the practical issues of model selection, interpretation, and calibration. Application of common probability models used in civil engineering including Poisson processes and extreme value distributions. Parameter estimation. Linear regression.
Terms: Aut
| Units: 3-4
Instructors:
Baker, J. (PI)
;
Loos, S. (TA)
CEE 203S: Machine Learning: Concepts & Applications in Civil & Environmental Engineering (CEE 103S)
Introduction to machine learning concepts, tools and methodologies for incorporating intelligence and smart technology into environmental data applications. Learning algorithms and development of a machine learning pipeline. Set-up of a machine learning platform on an IoT edge sensor device. Prerequisite:
CS 106A or equivalent Python programming experience.
Filter Results: