MATH 737 (1ON) - Statistical Methods for Quality Improvement and Design

Stat Methods for QI & Design

Durham   Engineering&Physical Sciences :: Mathematics&Statistics
Course Delivery Method: Online (no campus visits), EUNH
Credits: 4.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Class Size:   55  
CRN: 13406
Six Sigma is a popular, data-focused methodology used worldwide by organizations to achieve continuous improvement of their existing processes, products and services or to design new ones. This course provides a thorough introduction to the Six Sigma principles, methods, and applications for continuous improvement (DMAIC process) and an overview of Design for Six Sigma (DFSS). Both manufacturing and non-manufacturing (transactional Six Sigma) applications are included. Emphasis is placed on the use of case studies to motivate the use of, as well as the proper application of, the Six Sigma methodology. Formal Six Sigma Green Belt certification from UNH may be attained by successfully completing TECH 696. Prereq: MATH 539,MATH 644; or permission.
You must sign up in the Dept Office before registering through WEBCAT.
Classes not allowed in section: Freshman, Sophomore
Instructors: Philip Ramsey

Times & Locations

Start Date End Date Days Time Location
8/31/2020 12/11/2020 Hours Arranged ONLINE