Design of Experiments I
Durham
Engineering&Physical Sciences :: Mathematics&Statistics
Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:
20
CRN: 51452
CRN: 51452
First course in design of experiments with applications to quality improvement in industrial manufacturing, engineering research and development, or research in physical and biological sciences. Experimental factor identification, statistical analysis and modeling of experimental results, randomization and blocking, full factorial designs, random and mixed effects models, replication and sub-sampling strategies, fractional factorial designs, response surface methods, mixture designs, and screening designs. Focuses on various treatment structures for designed experimentation and the associated statistical analyses. Use of statistical software. Students must have completed an introductory statistics course.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Cross listed with : MATH 740.01
Attributes: Online (no campus visits), EUNH
Instructors: Philip Ramsey
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
1/23/2024 | 5/6/2024 | Hours Arranged | ONLINE |