IIND-4107 Seminario de Procesos Estocásticos
The objective of this course is to introduce modeling and optimization of stochastic systems with
IIND-2104 as the prerequisite. The course will focus on formulation and analysis of industrial systems with stochastic components using analytical techniques such as continuous-time Markov chains, queues with batching, priorities, balking, open/closed queuing networks among others. Stochastic optimization techniques such as Markov Decision Processes and Stochastic Dynamic Programming will be discussed to conclude the course.
Instructor
Akhavan Tabataei Raha
Catalog page for this course