ORIE 4160

ORIE 4160

Course information provided by the Courses of Study 2023-2024.

Each year, the course will cover a different advanced topic at the intersection of data science and operations research, with the specific topic to be chosen by the instructor that year. The class will entail advanced reading, homework, and course project. Example semester-long topics include: Multi-arm bandit models in ML and OR, Statistical recovery in data science and OR, Graphical models in data science and OR, Causal inference in data science and OR, and Reinforcement learning in data science and OR.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: ORIE 3120, ORIE 3300, ORIE 3310, ORIE 3500, ORIE 3510.

View Enrollment Information

Syllabi:
  •   Regular Academic Session.  Combined with: ORIE 5160

  • 3 Credits Graded

  • Topic: Online learning for OR and finance

  •  9765 ORIE 4160   LEC 001

  • Instruction Mode: In Person
    For the Spring 24 semester, enrollment in ORIE 4160/5160 is not available to students who completed ORIE 4160/5160 in the Spring 23 semester.