ORIE 5160

ORIE 5160

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

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: none
  •   Regular Academic Session.  Combined with: ORIE 4160

  • 3 Credits Graded

  • 18480 ORIE 5160   LEC 001

    • WF Olin Hall 255
    • Jan 23 - May 9, 2023
    • Goldberg, D

  • Instruction Mode: In Person
    Enrollment restricted to graduate students. Early Admit MEng students and OR&E Honors Program students may enroll with department approval.