CSCI 15
Exploring Bias in Computing Winter 2022

Class Details

This course will explore bias in computing at several levels with a focus on how data and technology intersect with and have an impact on different identities in computing. It will examine how bias towards different identities (such as gender, race, ethnicity, socio-economic status, ability, and sexual identity) impacts individuals working in the computing field. It will also examine how these biases can be embedded in data, algorithms, predictive models, and physical products. Students will learn about these topics through readings, video lessons, documentaries and group discussions. The final assessment will be a 10-page paper on a related topic. No background in computer science or programming is required or expected.
The Class: Format: lecture
Limit: 18
Grading: pass/fail only
Requirements/Evaluation: 10-page paper
Prerequisites: none
Enrollment Preferences: students who have not taken a computer science course should have priority
Materials/Lab Fee: none

Class Grid

Updated 8:52 am

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