Spring 2022
						
							> Engineering/Engineering Technology
						
						> MECH.5750
						> 061
					
					Course No: MECH.5750-061; SIS Class Nbr: 1322; SIS Term: 3130
					
Course Status: Registration Closed
					Course Description
					Concepts of Robust Design and statistical Design Of Experiments (DOE) as applied to the design and manufacturing of new high technology products. Classical and current methodologies of DOE including Full Factorial, Fractional Factorial, Taguchi, Central Composite and Yates Algorithms. The course will also provide for different methods for experimental design and analysis, including average and variability analysis. Commercial software packages and case studies using industrial experiments will be used to illustrate the material.
					Prerequisites, Notes & Instructor
					
						
							- Prerequisites: Students with a CSCE career need permission to take Graduate Level Courses.
 
						
							- Core Codes: STEM
 
						
							- Credits: 3; Contact Hours: 3
 
						
						
						- Instructor: Sammy Shina
 
						
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					When Offered & Tuition
					
						
							- Online Course
 	
						
						
						- 2022 Spring: Jan 18 to Apr 03
 
						 
						- Course Level: Graduate
 
						- 
							Tuition: $1770 
						
  
						- Note: There is a $30 per semester registration fee for credit courses.
 
					
					
						Related Programs: Graduate Certificate in Design & Manufacturing Engineering, Graduate Certificate in Engineering Innovation, M.S. in Engineering Management
					
					
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