IE 300
Spring 2025 All Classes
All Classes
Credit: 3 hours.
Nature of probabilistic models for observed data; discrete and continuous distribution function models; inferences on universe parameters based on sample values; control charts, acceptance sampling, and measurement theory.
Credit is not given towards graduation for both IE 300 and CEE 202; credit is also not given towards graduation for both IE 300 and BIOE 310. Prerequisite: MATH 241.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
50981
|
Discussion/
Recitation |
AD1
|
5:00PM
-5:50PM
|
M
|
Digital Computer Laboratory
|
King, D
|
|
|
|
50983
|
Discussion/
Recitation |
AD2
|
5:00PM
-5:50PM
|
T
|
Digital Computer Laboratory
|
King, D
|
|
|
|
50985
|
Discussion/
Recitation |
AD3
|
5:00PM
-5:50PM
|
W
|
Digital Computer Laboratory
|
King, D
|
|
|
|
50987
|
Discussion/
Recitation |
AD4
|
5:00PM
-5:50PM
|
R
|
Digital Computer Laboratory
|
King, D
|
|
|
|
34259
|
Lecture
|
AL1
|
3:30PM
-4:50PM
|
TR
|
Transportation Building
|
King, D
|
|
|
|
62804
|
Discussion/
Recitation |
BD1
|
11:00AM
-11:50AM
|
M
|
Digital Computer Laboratory
|
|
||
|
62805
|
Discussion/
Recitation |
BD2
|
3:00PM
-3:50PM
|
T
|
Digital Computer Laboratory
|
|
||
|
62806
|
Discussion/
Recitation |
BD3
|
9:00AM
-9:50AM
|
W
|
Digital Computer Laboratory
|
|
||
|
62807
|
Discussion/
Recitation |
BD4
|
10:00AM
-10:50AM
|
R
|
Digital Computer Laboratory
|
|
||
|
62803
|
Lecture
|
BL1
|
10:00AM
-10:50AM
|
MWF
|
Transportation Building
|
Vogiatzis, C
|
|