ORIE 5355

Applied Data Science: Decision-Making Beyond Prediction

Course Description

Course information provided by the Courses of Study 2022-2023.

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.

When Offered Fall.

Permission Note Enrollment limited to: Cornell Tech students.
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.

• 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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