Spring 2025
PBHLTH 132 101 - DIS 101
Artificial Intelligence for Health and Healthcare
Frances Dean
Class #:33147
Units: 3
Instruction Mode:
In-Person Instruction
Offered through
School of Public Health
Current Enrollment
Total Open Seats:
-4
Enrolled: 44
Waitlisted: 0
Capacity: 40
Waitlist Max: 20
No Reserved Seats
Hours & Workload
1.5 hours of instructor presentation of course materials per week, 8 hours of outside work hours per week, and 1.5 hours of the exchange of opinions or questions on course material per week.
Course Catalog Description
Over the coming decades, data and algorithms will transform medicine and our health care system. Whether you plan to be a physician, scientist, AI developer, or policy-maker, this course will help you understand: (1) the tremendous upside of artificial intelligence for health, and (2) how well-intentioned efforts to apply these tools can do harm. The course will be quantitative (e.g., technical readings; problem sets requiring statistical software), and is designed for students with at least intermediate coursework in statistics, economics, computer science,etc.
Class Notes
Lecture is online, asynchronous. Time conflict allowed for lecture.
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials