— Data & Society

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: Web Electronic Discussion 1 hour(s), Web Virtual Lecture 3 hour(s). Grade Mode: Letter. General Education: Social Sciences (SS); Quantitative Literacy (QL). This course version is effective from, and including: Winter Quarter 2027. Learning Activities: Web Electronic Discussion 1 hour(s), Web Virtual Lecture 3 hour(s). Grade Mode: Letter. General Education: Social Sciences (SS); Quantitative Literacy (QL).