ME 453
Fall 2020 All Classes
All Classes
Data Science in Manufacturing Quality Control
Credit: 3 OR 4 hours.
Manufacturing quality management in the big data era; quality improvement philosophies; statistical modeling of process quality; inferences about quality; statistical process control; control charts; machine learning and applications in quality engineering; quality classification/prediction with machine learning; design and implementation of quality monitoring systems based on supervised learning; measurement system analysis (gage R&R study); design of experiments.
3 or 4 undergraduate hours. 3 or 4 graduate hours. Prerequisite: ME 270; IE 300 OR STAT 400; MATH 415.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
73109
|
Online Lecture
|
DSG
|
1:00PM
-2:20PM
|
MW
|
n.a.
|
Shao, C
Yang, Y |
|
|
|
73108
|
Online Lecture
|
DSU
|
1:00PM
-2:20PM
|
MW
|
n.a.
|
Shao, C
Yang, Y |
|
|
|
73424
|
Online
|
ONL
|
ARRANGED
|
n.a.
|
n.a.
|
Shao, C
Yang, Y |
|