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.
5353. Data Ethics and Equity in the Era of Misinformation
2.00 credits
Prerequisites: None.
Grading Basis: Graded
This course will introduce students to issues of ethics and equity in the contemporary practice of data science. The ability to collect, store, process, and analyze ever greater amounts of data offers great opportunities, as well as potential perils. This course will provide examine the ethical implications of data collection, usage, and distribution. Topics will include systematic approaches to assessing ethical issues; privacy and confidentiality; defining research and the responsibilities associated with conducting ethical research; implicit and structural biases in data collection and analysis.
Last Refreshed: 26-APR-24 05.20.16.357506 AM
| Term | Class Number | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Enrollment | Location | Credits | Grading Basis | Notes | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1243 4073 1 001 | Spring 2024 | 4073 | Storrs | In Person | Fiala, Nathan | 001 | Reg | MoWe 12:20pm‑1:10pm |
38/40 | AUST 313 | 2.00 | Graded | |
| 1248 13808 1 001 | Fall 2024 | 13808 | Storrs | Online Asynchronous | Fiala, Nathan | 001 | Reg | 7/30 | No Room Required - Online | 2.00 | Graded | Open to MS Data Science students only. Others by instructor consent. |