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CEE 3040 Uncertainty Analysis Engr.

  • Instructor: Jery Stedinger
  • Dept: Civil and Environmental Engineering
  • Title: Professor
  • Address: 213 Hollister Hall
  • Phone: 607 255-2351
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Lecture: MWF 12:20-1:10 OLN 255
Section: W 1:25-2:15 HLS 306 and 206
W 2:30-3:20 HLS 206
R 10:10-11:00 HLS 401
R 1:25-2:15 SNE 1120 and HLS 401

Fall. 4 credits.

Prerequisite: first-year calculus.

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, windspeed/flood distributions, pollutant concentrations, and models of vehicle arrivals.

Outcome 1: Introduce students to the basic framework provided by probability theory for analyzing problems exhibiting variability and uncertainty.

Outcome 2: Introduce students to the basic methods and concepts employed in statistics to estimate the parameters of models, make decisions, and to describe uncertainty.

Outcome 3: Prepare students to be able to use statistical methods with confidence during their professional careers (perhaps after further study).

Outcome 4: Encourage students to reflect on their own learning styles and educational objectives.

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