The first two classes on Tuesday, 22 September and Thursday, 24 September 2020 will be held excelusively online


The course will be delivered in "blended" mode where lessons can be followed either in person or online through MS Teams. The number of students that can be present in person is limited by classroom capacity and the health and safety regulations due to the pandemic. To follow the lectures in person, you must reserve your seat one week in advance through the site presente. In any case, the entire course can be followed online through MS Teams.

Course Description: Modern computing systems and services often rely on large numbers of independent interacting components to provide their functions. Under certain conditions, the behavior that results from these interactions can be unexpected and surprising. Complexity Science is an interdisciplinary field for studying global behaviors resulting from many simple local interactions in an effort to characterize and control them. Networks allow us to formalize the structure of interactions. They play a central role in the transmission of information, transportation of goods, spread of diseases, diffusion of innovation, formation of opinions and adoption of new technologies. Network Science is an interdisciplinary field for studying the interconnectedness of modern life by exploring fundamental properties that govern the structure and dynamic evolution of networks.

Prerequisites: Basic notiions of computer system architecture, computer networks, operating systems, and probability theory.

Lectures: Monday 11.00 - 13.00; Tuesday, Thursday 9.00 - 11.00 (aula E3)

Office: Mura Anteo Zamboni 7, Room 104

Office Hours: Tuesdays 11.00 - 13.00

Evaluation: In the second half of the course, each student will present a research paper selected among topics covered in the course. There will also be a final project to be completed individually using the PeerSim simulator or the NetLogo modelling environment. Final grade for the course will be based on three factors: (i) presence during lectures and participation in discussions (20%), (ii) the research paper presentation (30%) and (iii) the project (50%).

The presentation has to be delivered in English, based on slides prepared in English and will be evaluated based on the following points:

  1. Relevance of the topic to the course,
  2. Quality of the contents,
  3. Quality of the delivery,
  4. Quality of the slides,
  5. Adherence to the time limit (30 minutes)
Textbooks:
  1. (EK) Networks, Crowds, and Markets: Reasoning about a Highly Connected World, D. Easley, J. Kleinberg. Cambridge University Press, 2010.
  2. (vS) Graph Theory and Complex Networks: An Introduction, M. van Steen. 2010.
  3. (F) The Computational Beauty of Nature, G. W. Flake. MIT Press, Cambridge MA. 2000.
  4. (MP) Complex Adaptive Systems: An Introduction to Computational Models of Social Life, J. H. Miller, S. E. Page. Princeton University Press, 2007.

Final Exam: To be defined