SPPA 722 - Machine Learning for Public Policy

Institution:

University of Delaware

Subject:

Description:

Data-driven policy decisions are an increasingly important aspect of civic operations, opening up new avenues for decision makers to enhance public welfare and quality of life. Policy-relevant information is extracted from data via the application of computational algorithms known as machine learning (ML). This course surveys common ML techniques in data analyses that impact policy and decision making, focusing on qualitative and quantitative understanding of ML models as well as their real-world application, model bias, and data ethics.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.udel.edu/

Phone Number:

(302) 831-2000

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Four-one-four plan

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