Special topics in Industrial and Systems Engineering.

A variety of topics such as functional data analysis, image processing, multilinear algebra and tensor analysis, and regularization in high-dimensional regression.

The course will cover Markov Decision Processes and introductory reinforcement learning techniques with applications to production/inventory systems, customer contact centers, revenue management, and health care.

Topics include conditional probability, density and distribution functions from engineering, expectation, conditional expectation, laws of large numbers, central limit theorem, and introduction to Poisson Processes.