Topics are chosen from business analytics topics that extend explorations of content in existing courses or allow exploration of content not duplicated in regular course offerings. May be repeated for credit with different topics. Prerequisites: Open to students by permission of instructor or to those who satisfy prerequisites determined by the instructor.
| Distribution Area | Prerequisites | Credits |
|---|---|---|
| Open to students by permission of instructor or to those who satisfy prerequisites determined by the instructor. | 1/4-1/2-1 course |
This course covers how machine learning is applied in healthcare. Students will learn about using machine learning for predicting risks, modeling disease progression, making diagnoses, and improving clinical workflows. Topics include causality, interpretability, time-series analysis, and deep learning.