CS 5727

CS 5727

Course information provided by the Courses of Study 2015-2016.

This course covers algorithmic and computational tools for solving optimization problems with the goal of providing decision-support for business intelligence. We will cover the fundamentals of linear, integer and nonlinear optimization. We will emphasize optimization as a large-scale computational tool, and show how to link programming languages with optimization software to develop industrial-strength decision-support systems. We will demonstrate how to incorporate uncertainty into optimization problems. Throughout the course, we will cover a variety of modern applications, including pricing and marketing for e-commerce, ad auctions on the web, and on-line ride-sharing.

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Syllabi: none
  •   Regular Academic Session.  Combined with: ORIE 5380

  • 3 Credits Graded

  • 19014 CS 5727   LEC 001

  • Taught at Cornell Tech Campus in New York City. Enrollment limited to Cornell Tech students.