ORIE 3120

ORIE 3120

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

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: ENGRD 2700 (may be take concurrently).

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

  • 4 Credits Stdnt Opt

  • 10492ORIE 3120  LEC 001

  • 10493ORIE 3120  DIS 201

  • 10494ORIE 3120  DIS 202

  • 10495ORIE 3120  DIS 203