GE 331
Fall 2006 All Classes
Credit: 3 hours.
Introduction to basic concepts that underlie important applications of probability and statistics to the analysis of data in the context of engineering design and decision making; point and interval estimation and hypothesis testing for sampled data; categorical data analysis and goodness of fit; linear models, including multivariate regression and analysis of designed experiments; quality methods including sampling, control charts, and process specification.
Prerequisite: CS 101, GE 161, MATH 225, MATH 231 (formerly MATH 230); or consent of instructor.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
30299
|
Lecture-Discussion
|
F
|
11:00AM
-11:50AM
|
MWF
|
1320 Digital Computer Laboratory
|
Feng, L
|
|