CEE 3040

Last Updated

  • Schedule of Classes - January 31, 2019 7:14PM EST
  • Course Catalog - January 31, 2019 7:15PM EST

CEE 3040
Uncertainty Analysis in Engineering

Course information provided by the Courses of Study 2018-2019.

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: first-year calculus.

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:

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

  • 4 Credits Stdnt Opt

  • 10593 CEE 3040   LEC 001

  •  

  • 10594 CEE 3040   DIS 201

  •  

  • 12249 CEE 3040   DIS 202

  •  

  • 10597 CEE 3040   DIS 203

  •  

  • 10595 CEE 3040   DIS 205

  •  

  • 10596 CEE 3040   DIS 206

  •  

  • 12258 CEE 3040   DIS 207

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