Informatica #1
(06/07/2026 – 18/07/2026)
18 Hrs, 3 CFU INF/01 + 12 Hrs Tutoring
Title: Foundations of Python Programming
Instructor: Michele Tizzoni
Contents:
– Tools, basics
– Strings
– Lists
– Tuples, Sets, Dictionaries
– Conditionals, for loops
– While loops, sequences
Suggested Readings:
– SoftPython, Fondamenti: https://it.softpython.org/#A—Fondamenti
– Allen Downey, Pensare in Python Italiano–2nda edizione: https://github.com/AllenDowney/ThinkPythonItalian/raw/master/thinkpython_italian.pdf
Teaching mode and Language: Classes will be exclusively in person and in Italian. Tutoring sessions are not mandatory but are highly recommended. No remote learning solutions can be requested or arranged.
Final test: The final test will consist of a written exam administered on the last day of class. More detailed information on the time and place for the test will be provided by the instructors upon the course's beginning.
Module requirements:
Computer: Students are required to bring their laptop computer (not a tablet!) with:
– at least 4GB RAM
– Operating System: Windows 8 or more recent, 64-bit macOS 10.13 or more recent,Linux (any distribution)
Software: Before participating, you are strongly advised to install the following software:
– Anaconda for Python: download page
Mathematics and Statistics #1
(13/07/2026 – 18/07/2026)
18 Hrs, 3 CFU for any of MAT/, SEC-S/
Title: Linear Algebra
Instructor: Mario Lauria
Contents:
definition of vector and matrix, and operations defined on them;
basic knowledge about systems of linear equations and their solutions;
basic notions about functions and the graph of a function;
the concept of derivative and integral of a function, and examples of their applications.
Suggested readings:
A. Guerraggio, “Matematica per le scienze”, Pearson, 2018
J. Stewart, “Calculus: Early Transcendentals”, 7th Edition, Brooks Cole, 2012.
Teaching mode and Language: Classes will take place in English and exclusively in online mode. Links to attend will be shared on Moodle before the class starts
Final test: More detailed information will be provided by the instructors at the beginning of the course.
Economic, Psychological and Sociological Sciences #1
(13/07/2026 – 18/07/2026)
18 Hrs, 3 CFU for any of SPS/, SECS-P/, M-PSI/
Title: An introduction to economic, psychological and sociological sciences
Contents:
– Introduction to economics (6 hours):
– Introduction to quantitative methods in psychology (6 hours): Cognitive Data Science
Instructor: TBD
This course aims to highlight how cognitive and psychological data can be investigated within the framework of network science. Slides, reading activities, and online discussions will be the main techniques powering this course.
Suggested Readings:
Haim, E., & Stella, M. (2023). Cognitive networks for knowledge modelling: A gentle tutorial for data- and cognitive scientists. Available on Researchgate.
Siew, C. S. (2019). spreadr: An R package to simulate spreading activation in a network. Behavior Research Methods, 51(2), 910-929.
Stella, M. (2022). Cognitive network science for understanding online social cognitions: A brief review. Topics in Cognitive Science, 14(1), 143-162.
– Introduction to sociology (6 hours)
Instructor: TBA
We will cover the main epistemological and methodological aspects of research with social data using quantitative, qualitative, and mixed methods. We will focus more on quantitative methods, in particular on the nature of data available, the construction and use of valid research instruments, and the different methods of analysis applied to social data.
Suggested readings:
Teaching Mode and Language: Classes will take place in English and online/blended mode. Links to attend will be shared on Moodle before the class starts.
Final test: More detailed information on the time and place for the test will be provided by the instructors upon the course beginning.