ORIE 3120

Last Updated

  • Schedule of Classes - May 15, 2019 12:56PM EDT
  • Course Catalog - March 4, 2019 1:00PM EST

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

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).

View Enrollment Information

Syllabi: none

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

  • 4 Credits Stdnt Opt

  • 10492 ORIE 3120   LEC 001

  • Department Consent Required (Add)

  • 10493 ORIE 3120   DIS 201

  • Department Consent Required (Add)

  • 10494 ORIE 3120   DIS 202

  • Department Consent Required (Add)

  • 10495 ORIE 3120   DIS 203

  • Department Consent Required (Add)