Human Data Interaction

5 credits

Builds data science literacy anchored in the principles and methods of human centered design. Focuses on principles of data science and its human implications, including research ethics; data privacy; legal frameworks; algorithmic bias, transparency, fairness, and accountability; data provenance, curation, preservation, and reproducibility; user experience design and research for big data; human computation; and social impacts of data science. Prerequisite: either CSE 121, CSE 122, CSE 123, CSE 142, CSE 143, CSE 160, or CSE 163; either HCDE 210, HCDE 303, INFO 360, or both HCDE 300 and HCDE 318; and HCDE 310