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):
Instructor: Diego Giuliani
Study materials:
The CORE Econ Team (2023). The Economy 2.0: Microeconomics. Open access e-text available at https://books.core-econ.org/the-economy/microeconomics
Students are expected to study by Saturday, 18 July, the following units:
Unit 1: "Prosperity, inequality, and planetary limits"; and,
Unit 7: "The firm and its customers".
– Introduction to cognitive data science (6 hours):
Instructor: Massimo Stella
Study materials:
Video Week 1 - https://drive.google.com/file/d/13ccqGLwO_En7fnGjpAJvi_zThq9fMPGd/view?usp=sharing
Rossetti, G., Abramski, K., Cau, E., Pansanella, V., & Stella, M. (2026). LLMs and cognition: From representation biases to a theory of mind. In M. Chetouani et al. (Eds.), Handbook of human-AI collaboration. Springer. https://doi.org/10.1007/978-3-031-61050-9_22-1
Turing, A. M. (1950). Computing machinery and intelligence. Mind, 59(236), 433–460. https://doi.org/10.1093/mind/LIX.236.433
– Introduction to sociology (6 hours)
Instructor: Elena Pavan
Study materials:
Video Week 1 - Susan Etlinger: What do we do with all this big data? https://youtu.be/AWPrOvzzqZk?si=Qu1-4uPlv2rRPOF7
Rob Kitchin, Gavin McArdle (2016), What makes Big Data, Big Data? Exploring the ontological characteristics of 26 datasets, Big data & society, https://journals.sagepub.com/doi/10.1177/2053951716631130
Teaching Mode and Language: Classes will take place in English and online/blended mode. Participants in this module are supposed to prepare the assigned materials autonomously.
Final test: More detailed information on the time and place for the test will be provided by the instructors upon the course beginning.