DS 2004
Data Ethics
Course Description
Explores principles and applications of data ethics within a broader social framework that prioritizes conversations about policy, regulatory frameworks, accountability, transparency, and governance models. Will discuss who is responsible for doing responsible data science, question how our work shapes the world around us, and understand the impacts of big data on people and communities.
Instructors
Farhana Faruqe
Fall 2026
tuth 3:30pm - 4:45pm
2.8
Rating
2.0
Difficulty
3.85
GPA
Emanuel Moss
Fall 2026
tuth 9:30am - 10:45am
—
Rating
—
Difficulty
3.84
GPA
David Danks
Spring 2026
tuth 12:30pm - 1:45pm
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Rating
—
Difficulty
—
GPA
Jess Reia
Fall 2025
MoWe 3:30pm - 4:45pm
4.0
Rating
2.0
Difficulty
3.88
GPA
Mona Sloane
Spring 2025
TuTh 3:30pm - 4:45pm
1.1
Rating
2.5
Difficulty
3.64
GPA
Aaron Martin
Fall 2024
TuTh 3:30pm - 4:45pm
—
Rating
—
Difficulty
3.88
GPA
To Announced
Fall 2023
MoWeFr 11:00am - 11:50am
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Rating
—
Difficulty
—
GPA