Subject: Computational Precision Health
Course Number: 200C
Course Title: Computational Precision Health Cornerstone
Units: 3
School: Graduate Division
Department: Computational Precision Health Program

Course Description: In part 3 of the three-part course series, students will focus on diabetes and ethical machine learning. The students will first learn about modeling chronic diseases including working with time-series data, treatment management, and sequential decision making. Along the way, we'll examine questions of equity and fairness within these questions including access to healthcare, social determinants of health, and trust in the healthcare system.
Prerequisites: CPH 200A, CPH 200B
Restrictions: First year CPH graduate students are given priority
Activities: Direct - Lecture, Direct - Discussion, Student - Lecture, Student - Project

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

Quarter(s) Offered: Spring
Course will not be offered in: Spring 2023
Course Grading Convention: Letter Grade
Graduate Division course: Yes
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