## MA300Game Theory

This information is for the 2017/18 session.

Teacher responsible

Dr Paul Duetting, Prof Bernhard Von Stengel and Prof Olivier Gossner

Availability

This course is available on the BSc in Accounting and Finance, BSc in Business Mathematics and Statistics, BSc in Econometrics and Mathematical Economics, BSc in Economics, BSc in Mathematics and Economics, BSc in Mathematics with Economics and BSc in Statistics with Finance. 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

Basic knowledge of matrices as covered in Mathematical Methods (MA100) or Quantitative Methods (MA107). Some knowledge of probability. Knowledge of economics as covered in Microeconomic Principles I (EC201) or Microeconomic Principles II (EC202).

Course content

Concepts and methods of game theory with applications to economics. MA300.1: same as for Game Theory I (MA301). MA300.2: Coalitional game theory - central solution concepts with application: the core, Shapley value, stable sets, weighted majority games, market games, stable matching.

Teaching

20 hours of lectures and 10 hours of classes in the MT. 22 hours of lectures and 10 hours of classes in the LT. 2 hours of lectures in the ST.

Formative coursework

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

Lecture slides will be provided, as well as references to selected papers. Further reading: R Gibbons, A Primer in Game Theory, 1992; A Mas-Colell, M Whinston, J Green: Microeconomic Theory; M Osborne, A Rubinstein: A Course in Game Theory; M Maschler, E Solan, S Zamir: Game Theory.

Assessment

Exam (100%, duration: 3 hours) in the main exam period.

Key facts

Department: Mathematics

Total students 2016/17: 31

Average class size 2016/17: 16

Capped 2016/17: No

Lecture capture used 2016/17: Yes (MT)

Value: One Unit

Guidelines for interpreting course guide information

PDAM skills

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

Course survey results

(2014/15 - 2016/17 combined)

1 = "best" score, 5 = "worst" score

The scores below are average responses.

Response rate: 86%

Question

Average
response

2.3

Materials (Q2.3)

2

Course satisfied (Q2.4)

1.8

Lectures (Q2.5)

2.1

Integration (Q2.6)

1.7

Contact (Q2.7)

1.9

Feedback (Q2.8)

2

Recommend (Q2.9)

 Yes 73% Maybe 21% No 6%