Computational Social Choice

Uitgebreide vaknaam	Computational Social Choice
Leerdoelen	At the end of this course, the student is able to: 1) recognize and describe the workings of different voting rules. 2) recognize and describe different types of aggregation of individually elicited information. 3) state and prove key theorems of social choice theory. 4) use insights from computational complexity theory to analyze voting rules. 5) conduct independent research on topics related to computational social choice.
Omschrijving	Social choice is a branch of theoretical economics. It studies mechanisms for collective decision-making (like voting). Computational social choice enriches the economic perspective on the study of collective decision-making mechanisms with a computer science angle. The course provides an introduction to computational social choice. It is a research-oriented course and presupposes some mathematical maturity on the part of the students (intended as having experience in writing mathematical proofs).
Uren per week
Onderwijsvorm	Hoorcollege (LC), Werkcollege (T)
Toetsvorm	Opdracht (AST), Verslag (R) (The final grade is based on four sets of homework (10% each), and the final paper (60%). The student must receive an overall grade of 5.5 or higher to pass the course.)
Vaksoort	master
Coördinator	Prof. Dr. D. Grossi
Docent(en)	Prof. Dr. D. Grossi
Verplichte literatuur	Titel Auteur ISBN Prijs The course will rely also on research paper which will be made available by the lecturer. Handbook of Computational Social Choice. Freely available online at: https://www.cambridge.org/files/5015/1077/0783/9781107060432AR_final3.pdf
Entreevoorwaarden	Mandatory: No prior knowledge is assumed. Please note that the student is expected to have a relevant BSc degree. Advised: The course presupposes some mathematical maturity from the students, i.e. experience in writing mathematical proofs.
Opmerkingen
Opgenomen in	Opleiding Jaar Periode Type MSc Artificial Intelligence  (B - Mandatory Course Units Multi-Agent Systems) 1 semester II a verplicht MAS MSc Artificial Intelligence  (C - Elective Course Units) - semester II a keuze MSc Computational Cognitive Science  (C - Elective Course Units) - semester II a keuze