CEE 3040

Last Updated

  • Schedule of Classes - January 9, 2020 9:13AM EST
  • Course Catalog - January 9, 2020 9:14AM EST

CEE 3040
Uncertainty Analysis in Engineering

Course information provided by the Courses of Study 2019-2020.

Introduction to probability theory and statistical techniques, with examples from civil, environmental, biological, and related disciplines. Covers data presentation, commonly used probability distributions describing natural phenomena and material properties, parameter estimation, confidence intervals, hypothesis testing, simple linear regression, and nonparametric statistics. Examples include structural reliability, wind speed/flood distributions, pollutant concentrations, surveys and models of vehicle arrivals and other independent events.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: MATH 1910 and MATH 1920, or equivalents.

Outcomes
  • Introduce students to the basic framework provided by probability theory for analyzing problems exhibiting variability and uncertainty.
  • Introduce students to the basic methods and concepts employed in statistics to estimate the parameters of models, make decisions, and to describe uncertainty.
  • Prepare students to be able to use statistical methods with confidence during their professional careers (perhaps after further study).
  • Encourage students to reflect on their own learning styles and educational objectives.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

  • 10431 CEE 3040   LEC 001

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  • 10432 CEE 3040   DIS 201

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  • 12008 CEE 3040   DIS 202

  •  

  • 10435 CEE 3040   DIS 203

  •  

  • 10433 CEE 3040   DIS 204

  •  

  • 10434 CEE 3040   DIS 205

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  • 12017 CEE 3040   DIS 206

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  • 17439 CEE 3040   DIS 207

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