Spring 2026 Data Science for Policy IA7160 section 001

Advanced Computing for Policy

Advanced Computing for Po

Call Number 10285
Points 3
Grading Mode Standard
Approvals Required None
Instructor Aidan Feldman
Type SEMINAR
Method of Instruction In-Person
Course Description

Pre-req: DSPC IA6000 - Computing in Context, or see option for testing out In Computing in Context, students “explored computing concepts and coding in the context of solving policy problems.” Building off that foundation of Python fundamentals and data analysis, Advanced Computing for Policy goes both deeper and broader. The course covers computer science concepts like data structures and algorithms, as well as supporting systems like databases, cloud services, and collaboration tools. Over the semester, students will build a complex end-to-end data system. This course prepares students for more advanced data science coursework at SIPA, and equips them to do sophisticated data ingestion, analysis, and presentation in research/industry.

Web Site Vergil
Department Data Science for Policy
Enrollment 0 students (60 max) as of 5:05PM Sunday, August 10, 2025
Subject Data Science for Policy
Number IA7160
Section 001
Division School of International and Public Affairs
Open To SIPA
Section key 20261DSPC7160U001