Probabilistic Models in Civil and Environmental Engineering

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Course Description

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.

Grading Basis

ROP - Letter or Credit/No Credit

Min

3

Max

4

Course Repeatable for Degree Credit?

No

Course Component

Lecture

Enrollment Optional?

No

Does this course satisfy the University Language Requirement?

No

Programs

CEE203 is a completion requirement for: