STAT 448
Summer 2024 Part of Term S2
(8 week) Jun 10-Aug 1
Credit: 4 hours.
Several of the most widely used techniques of data analysis are discussed with an emphasis on statistical computing. Topics include linear regression, analysis of variance, generalized linear models, and analysis of categorical data. In addition, an introduction to data mining is provided considering classification, model building, decision trees, and cluster analysis.
Same as CSE 448. 4 undergraduate hours. 4 graduate hours. Prerequisite: STAT 400 or STAT 409, and credit for or concurrent registration in STAT 410.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
37298
|
Lecture-Discussion
|
1GR
|
10:00AM
-11:50AM
|
TWR
|
2101 Everitt Laboratory
|
Glosemeyer, D
|
|
|
|
39722
|
Lecture-Discussion
|
1UG
|
10:00AM
-11:50AM
|
TWR
|
2101 Everitt Laboratory
|
Glosemeyer, D
|
|