IE 300
Spring 2009 Part of Term 1
Jan 20-May 6
Credit: 3 hours.
The nature of probabilistic models for observed data; discrete and continuous distribution function models; inferences on universe parameters based on sample values; introduction to control charts, acceptance sampling, and measurement theory.
Credit is not given for both IE 300 and either CEE 202 or GE 331. Prerequisite: MATH 241.
ME and IE students will not recieve credit for this course and STAT 400.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
50981
|
Discussion/
Recitation |
AD1
|
5:00PM
-5:50PM
|
M
|
Mechanical Engineering Bldg
|
Kiyavash, N
|
|
|
|
50983
|
Discussion/
Recitation |
AD2
|
5:00PM
-5:50PM
|
T
|
Mechanical Engineering Bldg
|
Kiyavash, N
|
|
|
|
50985
|
Discussion/
Recitation |
AD3
|
5:00PM
-5:50PM
|
W
|
Mechanical Engineering Bldg
|
Kiyavash, N
|
|
|
|
34259
|
Lecture
|
AL1
|
1:00PM
-2:15PM
|
TR
|
Digital Computer Laboratory
|
Kiyavash, N
|
|