MSE 5730

MSE 5730

Course information provided by the Courses of Study 2020-2021. Courses of Study 2021-2022 is scheduled to publish by July 1.

Statistical analysis of experimental data and processes, and the design of experiments are increasingly critical in both research and industrial environments. The course will review the fundamentals of probability and statistics, common probability distribution functions, data analysis and model parameter estimation, including characterization of sources of error and uncertainty, least-squares fitting, parameter correlation, as well as formal design of experiments (DOE) methodology.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: MATH 2930 and MATH 2940, some familiarity with statistics/probability.

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Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session.  Combined with: CHEME 5740

  • 3 Credits Graded

  • 11424MSE 5730  LEC 001

    • TRTo Be Assigned
    • Aug 26 - Dec 7, 2021
    • Dshemuchadse, J

  • Instruction Mode: Planned for In Person