MSE 5730
Last Updated
- Schedule of Classes - January 15, 2024 7:50PM EST
- Course Catalog - January 15, 2024 7:28PM EST
Classes
MSE 5730
Course Description
Course information provided by the 2023-2024 Catalog.
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.
Prerequisites/Corequisites Prerequisite: MATH 2930 and MATH 2940, some familiarity with statistics/probability.
When Offered Fall.
Regular Academic Session. Combined with: CHEME 5740
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Credits and Grading Basis
3 Credits Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- MW Hollister Hall 362
- Aug 21 - Dec 4, 2023
Instructors
Dshemuchadse, J
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Additional Information
Instruction Mode: In Person
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