The aim of this course is to enable students to analyze complex systems and model them through simulation. In particular, the aim is to model the processes encountered in production, service, logistics and information technology systems, to understand the effects of randomness and to use simulation in the decision-making process.

This course aims to help students learn the basic concepts of data science and gain the ability to analyze real-world data. Basic statistical concepts, probability, and data aggregation methods are covered. Then, basic machine learning techniques such as regression and classification are introduced.