Spring 2026 School of International & Public Affairs IA6670 section 001

Artificial Intelligence in Public Policy

Artificial Intel in Publi

Call Number 10298
Day & Time
Location
F 10:00am-5:00pm
To be announced
Points 1.5
Grading Mode Standard
Approvals Required None
Instructor Sameer R Maskey
Type LECTURE
Method of Instruction In-Person
Course Description

MIA and MPA Policy Skills II Core. Pre-req: Computing in Context (DSPC IA6000). Priority Registration: MIA and MPA. This course introduces students to the fundamentals of Artificial Intelligence (AI), its applications in public policy, and its implications for the future of governance. Students will gain a foundational understanding of AI, including the mathematical and programming principles behind common machine learning algorithms used for prediction, classification, and clustering. The course explores the practical applications of AI across various sectors, including business, non-profits, and government, highlighting its transformative potential. In the final segment, students will apply their knowledge to design AI solutions for public policy challenges. Through a "Concept to Implementation" process, student groups will identify problems, navigate data and algorithmic considerations, and propose actionable AI-driven solutions.

Web Site Vergil
Department Data Science for Policy
Enrollment 60 students (60 max) as of 3:07PM Wednesday, November 26, 2025
Status Full
Subject School of International & Public Affairs
Number IA6670
Section 001
Division School of International and Public Affairs
Open To SIPA
Note Spring 2026 Course Dates: Jan 30, Feb 13, March 6
Section key 20261SIPA6670U001