Automation and Systems

At the end of the training, the graduate will be able to study dynamic systems for control or decision-making purposes. To be successful, the mastery of industrial processes (control, optimization, planning, etc.) must proceed from a multidisciplinary approach integrating the methods of automation (modeling, identification, control, etc.) and industrial computing. It is a specialty that is multidisciplinary in nature and covers very diverse subjects ranging from applied mathematics to automation, which characterizes the implementation of theory by relying on instrumentation and increasingly on computing.