Course Unit Page


This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.

Quality education Industry, innovation and infrastructure Sustainable cities Partnerships for the goals

Academic Year 2019/2020

Learning outcomes

CYBERSECURITY AND CYBERCRIME By the end of the course, students will be able to: 1) Understand the foundations of cybersecurity. 2) Understand the social implications and ethical tradeoffs of surveillance, behavioural prediction made possible by the application of Big Data in cybersecurity. 3) Demonstrate the ability to formulate specific study questions concerning cybersecurity and how to fight cybercrime. 4) Understand the main tools and practices related to preventing cyberterrorism and cybercrime. 5) Demonstrate the ability to communicate complex cybersecurity concepts to multidisciplinary teams, including students with backgrounds in computer science, information technologies (IT) and international affairs.

Course contents

This is one of the few classes dedicated to cybersecurity in the social sciences, hence it is quite experimental. The class will provide some theoretical as well as practical bases to understand what cybersecurity, cyberwarfare and cybercrime are. Students successfully completing the class will also be able to recognise and debunk most myths and lies that abound in this field. Given the topic, students are expected to have at least some familiarity with computer networks. Students who do not satisfy this condition are expected to individually catch up during the course of the semester (students are also encouraged to take the class on "Big Data for the Social Sciences" in the same term, if possible). 



Teaching methods

Lectures, discussions and Q&A sessions. Some "hands-on" work at home will be necessary. 

Assessment methods

Final research paper and oral exam

Office hours

See the website of Giampiero Giacomello

See the website of Gian Piero Siroli