DATA415-25S2 (C) Semester Two 2025

Computational Social Choice

15 points

Details:
Start Date: Monday, 14 July 2025
End Date: Sunday, 9 November 2025
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 27 July 2025
  • Without academic penalty (including no fee refund): Sunday, 28 September 2025

Description

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.

Learning Outcomes

University Graduate Attributes

This course will provide students with an opportunity to develop the Graduate Attributes specified below:

Critically competent in a core academic discipline of their award

Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.

Employable, innovative and enterprising

Students will develop key skills and attributes sought by employers that can be used in a range of applications.

Globally aware

Students will comprehend the influence of global conditions on their discipline and will be competent in engaging with global and multi-cultural contexts.

Prerequisites

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

Timetable 2025

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Thursday 09:00 - 11:00 Meremere 105 Lecture Theatre
14 Jul - 24 Aug
Lecture B
Activity Day Time Location Weeks
01 Friday 13:00 - 15:00 Meremere 105 Lecture Theatre
14 Jul - 24 Aug
Tutorial A
Activity Day Time Location Weeks
01 Tuesday 16:00 - 18:00 Rehua 530
14 Jul - 24 Aug

Course Coordinator

Gabor Erdelyi

Indicative Fees

Domestic fee $1,084.00

* 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

  • DATA415-25S2 (C) Semester Two 2025
  • DATA415-25S2 (D) Semester Two 2025 (Distance)