Industrial Informatics and Process Analytics

Anno Accademico 2021/22

  • In order to attend the in-person lectures, students must provide a valid Green Pass certificate upon request.

General information



Office hours

  • Monday 10:00 – 13:00 (Information Engineering Department, Polo A, or online upon request)

Learning objectives

The student will learn the basics of Python programming for data analysis through a mix of theoretical and practical knowledge. We will discuss the basic principles of the Python programming language. We will discuss the main packages for data analysis, manipulation and visualization thanks to practical examples. The student attending successfully the course is able to show the knowledge and the skills to analyse and process data in Python.

Foundations of Operational Intelligence (OI) for Business Process Management will be also provided, including process mining methodologies and simulation. OI is a category of real-time dynamic, business analytics that delivers visibility and insight into process data, streaming events and business operations to support organizations in timely decision making, through manual or automated actions.

Final Exam

Students have to carry out two projects in group as part of the final exam, one project covering the part on data analysis in Python, another covering the part on OI for BPM. The final exam consists in a presentation and discussion of the project and an oral exam.

Class registry


Course Material