ININ6005 - Experimental Statistics
Structure: Three credits. Three lecture hours per week (45 total contact hours). Fundamental principles in the design and analysis of engineering experiments: randomized blocks, latin squares, split plots, factorial experiments; fractional factorials; confounding and response surface methodology. This course is primarily designed for majors in Industrial Engineering (IE); however, it is appropriate for science and engineering students with background in statistics and interest in the characterization and improvement of manufacturing and service processes through experimentation. The purpose is to provide students with the theoretical and applied framework needed to effectively design, conduct, and analyze experiments in the general engineering field.
Structure: Three credits. Three lecture hours per week (45 total contact hours). Fundamental principles in the design and analysis of engineering experiments: randomized blocks, latin squares, split plots, factorial experiments; fractional factorials; confounding and response surface methodology. This course is primarily designed for majors in Industrial Engineering (IE); however, it is appropriate for science and engineering students with background in statistics and interest in the characterization and improvement of manufacturing and service processes through experimentation. The purpose is to provide students with the theoretical and applied framework needed to effectively design, conduct, and analyze experiments in the general engineering field.
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