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.
Prerequisites: Recommended preparation: Completion of an introductory graduate-level statistics course or equivalent, and completion of a graduate-level transportation core course.
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: 18-SEP-19 05.20.26.980339 AM
|Term||Class Number||Campus||Instruction Mode||Instructor||Section||Session||Schedule||Enrollment||Location||Grading Basis||Notes|
|1203 15410 1 001||Spring 2020||15410||Storrs||In Person||Ivan, John||001||Reg||Tu 5:00pm‑7:40pm