Computational Social Choice
People
Course director
Description
• Voting systems
• Power indices
• Apportionment
• Social choice
• Manipulability
• Bankruptcy problems
• Fair division
Objectives
This course showcases the key concepts for collective decisions, introducing the major principles and algorithms used in voting and in social choice.
Teaching mode
In presence
Learning methods
The lectures for the course are in-person.
During the course, the lecturer provides a Study Guide, updated weekly, where he suggests what pages of the textbooks are to study after each lecture. The Study Guide also lists exercises that are especially useful to prepare for the final exam. Students are encouraged to ask their questions via email or on the course forum: answers to questions of general interest will be posted on the forum, available to all students.
Examination information
There is a final written exam, in English. The exam is closed-book, and you are allowed to use only stationery, paper, a pocket calculator (even programmable) and up to 2 sides of A4 paper previously annotated by you.
Three homework assignments are distributed during the course.
Bibliography
Education
- Bachelor of Arts in Economics, Lecture, 3rd year
- Bachelor of Arts in Economics, Lecture, Economia politica - corsi a scelta - 24 ects, Elective, 3rd year
- Bachelor of Arts in Economics, Lecture, Finanza - corsi a scelta - 24 ects, Elective, 3rd year
- Bachelor of Arts in Economics, Lecture, Management - corsi a scelta - 24 ects, Elective, 3rd year
- Bachelor of Arts in Economics, Lecture, ICSE - corsi a scelta - 18 ects, Elective, 3rd year
- Bachelor of Science in Data Science, Lecture, 2nd year
Prerequisite
- Calculus, Hormann K., Chang Q., Laneve L., Ramanantoanina A., Scarpone M., SA 2024-2025
- Mathematics for Data Science, Schneider P., Segala C., SA 2025-2026
- Statistics: Data Analysis and Probability, Ravanelli C., SP 2025
