This course is focused on a few selected recent theoretical results on optimization algorithmic theory, covering zeroth-order, first-order, and second-order methods. Also discussed are stochastic programming and its solution schemes.
This is a core course for the PhD program of our department.
This course, which covers analytical tools for decision-making problems under uncertainty. Topics include probabilistic models, stochastic processes, Monte Carlo simulation, decision trees, and stochastic optimization methods. This course is part of the curriculum of a professional engineering management program called the Outreach Engineering Management (OEM). This program is co-hosted by ISE and the business school of UF.
This course is focused on nonlinear programming and numerical optimization methods.
This course is focused on probabilistic models, Markov chains, and introduction to queueing theory.