The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.
6725. Statistical and Econometric Methods for Transportation Data Analysis
3.00 credits
Prerequisites: Recommended preparation: CE 2251, CE 5720 or 5730 or 5740 or equivalent.
Grading Basis: Graded
Application of various statistical methods for analysis of transportation data, including linear regression, count data models, logistic regression, discrete outcome models, ordered probability models, random parameter models, and duration models among others.
Last Refreshed: 17-APR-24 05.20.29.834615 AM
| Term | Class Number | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Enrollment | Location | Credits | Grading Basis | Notes | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1243 4908 1 001 | Spring 2024 | 4908 | Storrs | In Person | Filipovska, Monika | 001 | Reg | MoWe 2:00pm‑3:15pm |
3/16 | CAST 210 | 3.00 | Graded |