Computing in Context: Health Policy

This course consists of two components: a computer science component and a health policy-specific component. The first component consists of lectures, homework assignments, and in-class quizzes in the Department of Computer Science, which introduce students to algorithmic problem solving and implementing solutions in Python. These lectures will include students enrolled in context sections from other parts of the University, and assume no prior experience with programming whatsoever. They will be supplemented by a weekly lab at CUMC for Mailman students, which will focus on guiding students through practical examples/applications of the methods presented in the lectures. The second component of the class is context-specific, and includes a health policy analysis project, in which students apply programming methods learned in class to a health policy problem, as well as context lectures given at CUMC in the second half of the semester. These context lectures will focus on the ever-expanding role of computing and “big data” in health policy and healthcare, and will discuss recent research on these topics. Attendance for all lectures and labs is mandatory.