DAEN 328: Data Engineering for Humans

Course Description

Credits 3.
3 Lecture Hours.Human considerations and constraints for data engineering, including human factors of data visualization; data processing and analysis of human physiological, psychological and performance data; the role of human biases in model development, analysis and interpretation; human factors of interactions with machine learning-based artificial intelligence tools in complex systems such as healthcare, manufacturing and transportation.Prerequisites:Junior senior classification.