DSC 261Responsible Data Science
Data science lifecycle, data cleaning and quality management, data profiling, causal inference, algorithmic fairness (fairness definitions, impossibility results, causal fairness, building fair ML models, fairness beyond classification), algorithmic transparency (interpretability versus explainability, auditing-black-box algorithms, algorithmic recourse).