MA330      Half Unit
Game Theory for Collective Decisions

This information is for the 2024/25 session.

Teacher responsible

Dr Galit Ashkenazi-Golan

Availability

This course is available on the BSc in Accounting and Finance, BSc in Data Science, BSc in Econometrics and Mathematical Economics, BSc in Economics, BSc in Management, BSc in Mathematics and Economics, BSc in Mathematics with Data Science, BSc in Mathematics with Economics, BSc in Mathematics, Statistics and Business and BSc in Psychological and Behavioural Science. This course is available as an outside option to students on other programmes where regulations permit. This course is available with permission to General Course students.

Pre-requisites

Familiarity with a rigorous treatment of mathematics (through definitions, theorems and proofs) is expected. Basic knowledge of matrices as covered in Mathematical Methods (MA100) or Quantitative Methods (MA107) as well as some knowledge of probability is required. Recommended: MA301 Mathematical Game Theory, otherwise with approval from the MA330 lecturer.

Course content

Coalitional game theory - central solution concepts and applications to economics: games with transferable utility, the Core, Shapley value, market games, social choice, stable matching.

Teaching

This course is delivered through a combination of classes and lectures totalling a minimum of 30 hours across Winter Term.

Formative coursework

Written answers to set problems will be expected on a weekly basis.

Indicative reading

Lecture notes will be provided, as well as references to selected papers. Further reading: M Maschler, E Solan, S Zamir: Game Theory, Cambridge University Press 2020.

Assessment

Exam (90%, duration: 2 hours) in the spring exam period.
Continuous assessment (10%).

Key facts

Department: Mathematics

Total students 2023/24: 20

Average class size 2023/24: 23

Capped 2023/24: No

Value: Half Unit

Guidelines for interpreting course guide information

Course selection videos

Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.

Personal development skills

  • Self-management
  • Problem solving
  • Application of information skills
  • Communication
  • Application of numeracy skills
  • Specialist skills