GE 331
Spring 2007 All Classes
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.
Credit is not given for both GE 331 and either IE 300 or CEE 202. Prerequisite: CS 101, GE 161, MATH 225, MATH 231 (formerly MATH 230).
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
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33214
|
Lecture-Discussion
|
G
|
11:00AM
-11:50AM
|
MWF
|
Digital Computer Laboratory
|
Beck, C
|
|