Huseyin Topaloglu is a Professor of Operations Research and Information Engineering at Cornell Tech and Cornell University. He received his Ph.D. from Princeton University in Operations Research and Financial Engineering in 2001. He has been a member of the Cornell faculty since 2002.
Topaloglu’s research interests are in pricing, retail operations, logistics and supply chain management. Currently, he develops technology to price products such as airline tickets and hotel rooms in response to dynamic demand, and to find right product assortments to display to consumers in online retail by taking advantage of their past purchase patterns.
He was the recipient of INFORMS Revenue Management Section Prize in 2010.
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, such as Python, Java and C++, with optimization software, such as Gurobi and CPLEX, 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 and show how to deploy large-scale optimization models.