Graduate Course Descriptions

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.

5605. Quantitative Methods in Research I

3.00 credits

Prerequisites: None.

Grading Basis: Graded

Quantitative procedures and analysis of computer output including descriptive and inferential statistics through one-way analysis of variance.


Last Refreshed: 02-OCT-23 05.20.27.249216 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Fall 2023 3362 Storrs In Person Rhoads, Christopher 001 Reg Th 4:00pm‑6:30pm
13/25 GENT 225 3.00 Graded
Fall 2023 12089 Storrs Online Asynchronous Carreras, Ismael 002 Reg 12:00am‑12:00am
18/17 3.00 Graded
Fall 2023 5573 Storrs Online Asynchronous Newton, Sarah 003 Reg 12:00am‑12:00am
17/17 3.00 Graded
Spring 2024 9818 Storrs Online Asynchronous Newton, Sarah 001 Reg 0/15 No Room Required - Online 3.00 Graded
Spring 2024 9819 Storrs Online Asynchronous Carreras, Ismael 002 Reg 0/15 No Room Required - Online 3.00 Graded