The main objective of the course is to teach an approach to transport planning activities through a scientific approach. The main steps of the transport modeling and planning process are presented at lesson and contextually developed by students through workshops on a real case study.
The course provides an introduction to data science (preprocessing, rule mining, classification, clustering) and data warehousing.
The course provides an introduction to data science (preprocessing, rule mining, classification, clustering), data warehousing and the inner working of database management systems (e.g. query optimization, disaster recovery, concurrency control).
Data Science Lab is a core course of the Master of Science in Data Science and Engineering at Politecnico di Torino. It provides students with the theoretical and practical knowledge needed to work with data, and to develop data-driven solutions to real-world problems.