INFO 5370

INFO 5370

Course information provided by the Courses of Study 2024-2025.

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.

When Offered Fall.

Permission Note Enrollment limited to: Cornell Tech students.
Prerequisites/Corequisites Recommended prerequisite: ENGRD 2700, CS 1380, or equivalent, and experience programming in Python. Recommended corequisite: INFO 5430 or CS 5785.

Outcomes
  • 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

Syllabi:
  •   Regular Academic Session.  Combined with: ORIE 5355

  • 3 Credits Graded

  • 19531 INFO 5370   LAB 430

  • Instruction Mode: In Person
    Enrollment limited to: Cornell Tech students.