ORIE 3120

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  • Schedule of Classes - November 13, 2024 8:41AM EST
  • Course Catalog - November 12, 2024 10:26AM EST
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ORIE 3120
Practical Tools for Operations Research, Machine Learning and Data Science

Course information provided by the 2023-2024 Catalog.

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.


Prerequisites/Corequisites Prerequisite or corequisite: ENGRD 2700.

When Offered Spring.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

  •  8914 ORIE 3120   LEC 001

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

    • 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 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

  •  

  • Instruction Mode: In Person

  •  8916 ORIE 3120   DIS 202

  •  

  • Instruction Mode: In Person

  •  8917 ORIE 3120   DIS 203

  •  

  • Instruction Mode: In Person