ORIE 3120

Last Updated

  • Schedule of Classes - June 10, 2022 7:44AM EDT
  • Course Catalog - June 9, 2022 7:14PM EDT

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

Course information provided by the Courses of Study 2021-2022.

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

  •  9957 ORIE 3120   LEC 001

  •  

  • Instruction Mode: In Person

  •  9958 ORIE 3120   DIS 201

  • Instruction Mode: In Person

    Department Consent Required (Add)

  •  9959 ORIE 3120   DIS 202

  • Instruction Mode: In Person

    Department Consent Required (Add)

  •  9960 ORIE 3120   DIS 203

  • Instruction Mode: In Person

    Department Consent Required (Add)