STOCHASTIC AND EVENT-DRIVEN SIMULATION OF INDUSTRIAL SYSTEMS

Catalog description

Covers analysis and modeling techniques of complex systems to support engineering decisions. Explores stochastic descriptive modeling and its implementation in the engineering field. Focuses on modeling uncertainty using Monte Carlo simulation and discrete event simulation through in-class activities to supplement the lectures. Utilizes data analysis and techniques to implement randomness in various models.