Subject: Epidemiology
Course Number: 233
Course Title: Artificial Intelligence in Clinical Informatics
Units: 2
School: Medicine
Department: Epidemiology And Biostatistics

Course Description: The course will provide an overview of artificial intelligence (AI), with a particular emphasis on clinical informatics applications and considerations. Topics covered will include research, maintaining scientific rigor in clinical informatics AI design decisions, evaluation, interpretability, privacy, and fairness/bias.
Prerequisites: None
Restrictions: None
Activities: Direct - Lecture, Direct - Lab-Science, Student - Lecture, Student - Project

Instructor of Record: L. Liu
May the student choose the instructor for this course? No
Does enrollment in this course require instructor approval? No

Quarter(s) Offered: Spring
Course Grading Convention: Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)
Graduate Division course: No
Is this an Interprofessional Education (IPE) course? No
May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
Repeat course for credit? No