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.

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: 11-JUN-24 05.20.09.299351 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Spring 2024 4073 Storrs In Person Fiala, Nathan 001 Reg MoWe 12:20pm‑1:10pm
38/40 AUST 313 2.00 Graded
Fall 2024 13808 Storrs Online Asynchronous Fiala, Nathan 001 Reg 14/30 No Room Required - Online 2.00 Graded Open to MS Data Science students only. Others by instructor consent.