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 a web-based online 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