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

Course Description: Students in CPH will develop skills and expertise in both the computational sciences and health sciences.In this three-part course series, students learn to integrate core foundations of computational precision health in small multidisciplinary teams using a Problem Based Learning pedagogical approach. Students will learn core computational foundations including in machine learning and causal inference and they will obtain deep exposure to multiple clinical areas including cancer and cardiology.
Prerequisites: N/A
Restrictions: CPH first year 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: Fall
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