ORIE 3120

ORIE 3120

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

The practical use of software tools and mathematical methods from operations research, machine learning, statistics and data science. Software tools include structured query language (SQL), geographical information systems (GIS), Excel and Visual Basic programming (VBA), and programming in a scripting language (either R or Python). Operations research methods include inventory management, discrete event simulation, and an introduction to the analysis of queuing systems. Machine learning and statistical methods include multiple linear regression, classification, logistic regression, clustering, time-series forecasting, and the design and analysis of A/B tests. These topics will be presented in the context of business applications from transportation, manufacturing, retail, and e-commerce.

When Offered Spring.

Prerequisites/Corequisites Prerequisite or corequisite: ENGRD 2700.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

  •  9167 ORIE 3120   LEC 001

    • TR Olin Hall 255
    • Jan 23 - May 9, 2023
    • Frazier, P

  • Instruction Mode: In Person
    Pre-enrollment is limited to ORIE and ISST majors. If you cannot enroll and are currently an ORIE or ISST major or are planning to affiliate, please email Heidi Russell (hjr27@cornell.edu). If you would like to join the waiting list, please use this link. Students from the waiting list will be notified during the add/drop period if there is space.

  •  9168 ORIE 3120   DIS 201

  • Instruction Mode: In Person

  •  9169 ORIE 3120   DIS 202

  • Instruction Mode: In Person

  •  9170 ORIE 3120   DIS 203

  • Instruction Mode: In Person