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.    

Credits

4

Instructor

Akhavan Tabataei Raha