Fall 2025 Data Science for Policy IA6000 section R02

Computing in Context

Call Number 17245
Points 0
Grading Mode Ungraded
Approvals Required None
Type LECTURE
Method of Instruction In-Person
Course Description

This introductory course will explore computing concepts and coding in the context of solving policy problems. Such problems might include troubleshooting sources of environmental pollution, evaluating the effectiveness of public housing policy or determining the impact that local financial markets have on international healthcare or education. Using policy scenarios as examples, students will be exposed to topics including: requirements gathering, data collection, data cleansing, writing pseudocode and code, using Python packages to help solve policy problems, presenting technical solutions and the constraints of computing. The hands-on nature of the class will help students to develop a strong, transferable skill-set that could be applied to both current coursework and future employment. Between the computer science and policy context lectures, students will see how computer science will become a fundamental component of their policy analysis education.

Web Site Vergil
Department Data Science for Policy
Enrollment 0 students as of 9:07PM Thursday, July 17, 2025
Subject Data Science for Policy
Number IA6000
Section R02
Division School of International and Public Affairs
Note Recitation
Section key 20253DSPC6000UR02