Computer Science and Engineering

CSE 246 Responsible Data Science

Graduate course covering basics of data science literacy and data science ethics. Topics include algorithmic discrimination, fairness, interpretability, privacy, and reproducibility. Key statistical topics such as generalization, causality, curse of dimensionality, and sampling bias are covered.

Requirements

Enrollment is restricted to graduate students.

Credits

5

Quarter offered

Fall

Instructor

Leilani Gilpin