ORIE 3120

ORIE 3120

Course information provided by the 2025-2026 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 Prerequisite or corequisite: ENGRD 2700.

Last 4 Terms Offered 2025SP, 2024SP, 2023SP, 2022SP

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

  • 4 Credits Stdnt Opt

  • 13587 ORIE 3120   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Xin, L

  • Instruction Mode: In Person

    Students will be able to enroll in any remaining seats on a first-come, first-serve basis beginning January 14 at 9am.

  • 13588 ORIE 3120   DIS 201

    • T
    • Jan 20 - May 5, 2026
    • Xin, L

  • Instruction Mode: In Person

  • 13589 ORIE 3120   DIS 202

    • W
    • Jan 20 - May 5, 2026
    • Xin, L

  • Instruction Mode: In Person

  • 13590 ORIE 3120   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Xin, L

  • Instruction Mode: In Person