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STS 101

— Data & Society

(4 units)

Basic concepts in data science from a socio-cultural perspective. Identifying data stakeholders and their biases, reading and evaluating data documentation, exploring data through analysis and visualization, identifying knowledge gaps, and assessing data ethics.

Prerequisites & course information

Course Description: Basic concepts in data science from a socio-cultural perspective. Identifying data stakeholders and their biases, reading and evaluating data documentation, exploring data through analysis and visualization, identifying knowledge gaps, and assessing data ethics. Learning Activities: Lecture/Discussion 4 hour(s). Grade Mode: Letter. General Education: Social Sciences (SS); Quantitative Literacy (QL). Learning Activities: Lecture/Discussion 4 hour(s). Grade Mode: Letter. General Education: Social Sciences (SS); Quantitative Literacy (QL).

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