DATA415-24S2 (C) Semester Two 2024

Computational Social Choice

15 points

Start Date: Monday, 15 July 2024
End Date: Sunday, 10 November 2024
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 28 July 2024
  • Without academic penalty (including no fee refund): Sunday, 29 September 2024


This course provides a thorough introduction to both classical and computational social choice. Social choice theory is the study of mechanisms for collective decision making, such as voting rules or protocols for fair division. Computational social choice addresses problems at the interface of social choice theory with computer science, it uses concepts from social choice theory in the presence of big datasets. This course will introduce some of the fundamental concepts in social choice theory and how they are used in today's data science. The topics covered include material in voting theory, preference aggregation, judgment aggregation, and fair division.


Subject to approval of the Head of Department of Mathematics and Statistics.

Timetable 2024

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Wednesday 15:00 - 17:00 Rehua 530
15 Jul - 25 Aug
Lecture B
Activity Day Time Location Weeks
01 Monday 14:00 - 16:00 Jack Erskine 446
15 Jul - 25 Aug
Tutorial A
Activity Day Time Location Weeks
01 Tuesday 09:00 - 11:00 Psychology - Sociology 456
15 Jul - 25 Aug

Course Coordinator

Gabor Erdelyi

Indicative Fees

Domestic fee $1,023.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Mathematics and Statistics .

All DATA415 Occurrences

  • DATA415-24S2 (C) Semester Two 2024
  • DATA415-24S2 (D) Semester Two 2024 (Distance)