ORIE 5581

ORIE 5581

Course information provided by the Courses of Study 2018-2019.

Introduction to Monte Carlo simulation. Topics include: random variate and process generation; data-driven distribution modeling; input and output analysis. Emphasizes modeling and simulation in Python.

When Offered Fall (weeks 1-7).

Prerequisites/Corequisites Prerequisite: ORIE 3500 or equivalent. For students with insufficient background in probability, ORIE 3500 must be taken in parallel. CS 2110/ENGRD 2110.

Comments Co-meets with ORIE 4580/ORIE 5580.

View Enrollment Information

Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 4580ORIE 5580

  • 2 Credits GradeNoAud

  • 11189 ORIE 5581   LEC 001

    • TR Kimball Hall B11
    • Aug 23 - Oct 12, 2018
    • Banerjee, S

  • Offered first half of term. Co-meets with ORIE 4580.

  • 11190 ORIE 5581   DIS 201

  • 11191 ORIE 5581   DIS 202

  • 11192 ORIE 5581   DIS 203

  • 11193 ORIE 5581   DIS 204