ORIE 5355

ORIE 5355

Course information provided by the Courses of Study 2021-2022.

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.

When Offered Fall or Spring.

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.

View Enrollment Information

  •   Regular Academic Session.  Combined with: INFO 5370

  • 3 Credits Graded

  • 19811 ORIE 5355   LAB 430

  • Instruction Mode: In Person
    Taught in NYC. Enrollment Limited to Cornell Tech Students.