ORIE 5355

Data, People, and Systems

Course Description

Course information provided by the 2021-2022 Catalog.

Data science is often both 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 feedback loops between deployed models and future data.

Prerequisites/Corequisites Corequisite or prerequisite: Basic Probability and statistics (ENGRD 2700, CS 1380, or equivalent), and experience programming in Python. Co-enrollment in either INFO 5430 or CS 5785 is sufficient.

Permission Note Enrollment limited to: Cornell Tech students.

Outcomes

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

When Offered Fall or Spring.

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