CEE 3040

Last Updated

  • Schedule of Classes - December 22, 2024 7:33PM EST
  • Course Catalog - December 22, 2024 7:07PM EST

CEE 3040
Uncertainty Analysis in Engineering

Course information provided by the 2024-2025 Catalog.

Introduction to statistics and data analysis for engineers. Covers probability theory, discrete and continuous random variables, parametric probability distributions commonly used in engineering practice and research, point estimation, sampling distributions, confidence intervals, hypothesis testing, simple linear regression, and nonparametric statistics. Empirical examples from engineering problems are highlighted.


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).

Distribution Category (MQL-AG, OPHLS-AG)

When Offered Fall.

View Enrollment Information

Syllabi: none

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

  • 4 Credits Stdnt Opt

  •  6501 CEE 3040   LEC 001

  •  
    • TR Olin Hall 255
    • Aug 26 - Dec 9, 2024

    • Typaldos, P

  • Instruction Mode: In Person

  •  6502 CEE 3040   DIS 201

  •  

  • Instruction Mode: In Person

  •  6955 CEE 3040   DIS 202

  •  

  • Instruction Mode: In Person

  •  6505 CEE 3040   DIS 203

  •  

  • Instruction Mode: In Person

  •  6503 CEE 3040   DIS 204

  •  

  • Instruction Mode: In Person

  •  6504 CEE 3040   DIS 205

  •  
    • T Upson Hall 102
    • Aug 26 - Dec 9, 2024

    • Typaldos, P

  • Instruction Mode: In Person

  •  9667 CEE 3040   DIS 206

  •  

  • Instruction Mode: In Person