ORIE 3120

Last Updated

  • Schedule of Classes - September 10, 2024 10:17AM EDT
  • Course Catalog - September 10, 2024 9:19AM EDT
Global toggle of class tabs

Links for textbooks and Cornell Store open in new tab.

ORIE 3120
Practical Tools for Operations Research, Machine Learning and Data Science

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

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

  •  8914 ORIE 3120   LEC 001

  •  
    • TR Olin Hall 255
    • Jan 22 - May 7, 2024

    • Frazier, P

  • 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 Max Schoenberger (mss462@cornell.edu) Students from the waiting list will be notified during the add/drop period if there is space.

  •  8915 ORIE 3120   DIS 201

  •  

  •  8916 ORIE 3120   DIS 202

  •  

  •  8917 ORIE 3120   DIS 203

  •