MSE 5730

MSE 5730

Course information provided by the Courses of Study 2023-2024.

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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  •   Regular Academic Session.  Combined with: CHEME 5740

  • 3 Credits Graded

  • 18951 MSE 5730   LEC 001

    • MW Hollister Hall 362
    • Aug 21 - Dec 4, 2023
    • Dshemuchadse, J

  • Instruction Mode: In Person