Itai Gurvich is a Visiting Professor at Cornell Tech and in the Operations Research and Information Engineering Department at Cornell University. He earned a Ph.D. from the Decision, Risk and Operations department at Columbia University’s Graduate School of Business. He spent 8 years teaching at the Kellogg School of Management at Northwestern University. His research interests include performance analysis and optimization of human-operated processing networks, the theory of stochastic-process approximation and the application of operations research and statistical tools to healthcare processes.
Modeling Under Uncertainty
In this course, we will learn how to model randomness, analyze its impact and make optimal decisions when it is present. We will cover stochastic modeling techniques, statistical principles, simulation, and decision-making under uncertainty. Using applications, we will demonstrate how we can use statistical principles to gain insight from data generated by systems with randomness. We will use simulation models...