Teach ethics and responsibility early in the data science program and keep prerequisites minimal to enroll a diverse student group¶
Design · All designs
Evidence · no claims cited
Description¶
The RDS course requires only an introductory data science or computer science course, deliberately excluding machine learning as a prerequisite. "This is a deliberate choice that reflects our goals to (1) educate data science students on ethics and responsibility early in their program of study, and (2) to enroll a diverse group of students." The semester-long course is structured as six thematic modules combining case studies, algorithmic and statistical insights, and hands-on exercises with open-source datasets and software libraries.
Design Implications¶
Context¶
Requirements¶
- Students are expected to have basic familiarity with the python programming language, which is used in labs and assignments.
Constraints¶
- The authors faced a lack of a textbook offering comprehensive coverage of RDS balancing case studies, social-science concepts, and statistical and algorithmic techniques, so the course has no required textbook.
Target Learners¶
- graduate and advanced undergraduate data science students, including first-year students
Learning Goals¶
- ethics and responsibility in data science
- algorithmic fairness, privacy, transparency, and interpretability
Claims¶
Related Designs¶
Examples¶
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Key Sources¶
- Lewis Armanda; Stoyanovich Julia. (2021). Teaching Responsible Data Science: Charting New Pedagogical Territory. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-021-00241-7
Page metadata
| Field | Value |
|---|---|
type |
design |
id |
rds-course-early-ethics-design |
title |
Teach ethics and responsibility early in the data science program and keep prerequisites minimal to enroll a diverse student group |
description |
The RDS course requires only an introductory data science or computer science course, deliberately excluding machine learning as a prerequisite. |
status |
review |
generated |
by process:settle-candidates on 2026-10-27 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — lewis-armanda-stoyanovich-julia-2021 |
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