ORIE 5355

Applied Data Science: Decision-Making Beyond Prediction

Course Description

Course information provided by the 2025-2026 Catalog.

This course considers the data science challenges beyond training an accurate predictive model, especially for systems about people (data of behavior), and for people (deployed models to influence behavior). Whether for online marketplaces, transportation, governmental, or urban systems, effective data science in such settings requires dealing with user incentives and strategic behavior, networked and decentralized decision-making, and privacy and ethics concerns. Primary evaluation will be through programming based assignments (in Python) and conceptual questions.

Prerequisites REF-FA25/Corequisites REF-FA25 Recommended prerequisite: ENGRD 2700, CS 1380, or equivalent, and experience programming in Python. Recommended corequisite: INFO 5430 or CS 5785. Corequisites: None.

Enrollment Priority REF-FA25 Enrollment limited to: Cornell Tech students.

Last 4 terms offered (None)

Outcomes REF-FA25

• Articulate common challenges in data science about and for people.
• Design, develop, and deploy data science models that effectively deal with such challenges.

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