CEE 3040

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CEE 3040

Course information provided by the Courses of Study 2024-2025. Courses of Study 2024-2025 is scheduled to publish mid-June.

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.

When Offered Fall.

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

Distribution Category (MQL-AG, OPHLS-AG)

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).

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

  •  6501 CEE 3040   LEC 001

    • TR
    • Aug 26 - Dec 9, 2024
    • Typaldos, P

  •  6502 CEE 3040   DIS 201

    • R
    • Aug 26 - Dec 9, 2024
    • Typaldos, P

  •  6955 CEE 3040   DIS 202

    • R
    • Aug 26 - Dec 9, 2024
    • Typaldos, P

  •  6505 CEE 3040   DIS 203

    • T
    • Aug 26 - Dec 9, 2024
    • Typaldos, P

  •  6503 CEE 3040   DIS 204

    • R
    • Aug 26 - Dec 9, 2024
    • Typaldos, P

  •  6504 CEE 3040   DIS 205

    • T
    • Aug 26 - Dec 9, 2024
    • Typaldos, P

  •  9667 CEE 3040   DIS 206

    • R
    • Aug 26 - Dec 9, 2024
    • Typaldos, P