MA300     
Game Theory

This information is for the 2014/15 session.

Teacher responsible

Dr Ron Perez

Prof Bernhard von Stengel COL 4.12 and Dr Paul Dütting

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. Part I: same as for Game Theory I (MA301). Part II: 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 8 hours of classes in the MT. 20 hours of lectures and 10 hours of classes in the LT. 4 hours of lectures and 2 hours of classes in the ST.

Formative coursework

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

Indicative reading

Lecture notes will be provided. K Binmore, Playing for Real: Game Theory CUP, 2007; R Gibbons, A Primer in Game Theory, 1992; Mas-Colell, Whinston, and Green: Microeconomic Theory, Osborne and Rubinstein: A course in Game Theory. Supplementary reading: E Mendelson, Introducing Game Theory and Its Applications.Part II: Lecture slide will be provided, as well as, references to selected papers. 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 2013/14: 20

Average class size 2013/14: 9

Capped 2013/14: No

Lecture capture used 2013/14: 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

(2011/12 - 2013/14 combined)

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

The scores below are average responses.

Response rate: 82.7%

Question

Average
response

Reading list (Q2.1)

2.2

Materials (Q2.3)

2

Course satisfied (Q2.4)

1.9

Lectures (Q2.5)

2.4

Integration (Q2.6)

1.8

Contact (Q2.7)

2

Feedback (Q2.8)

2.1

Recommend (Q2.9)

Yes

67.2%

Maybe

29%

No

3.8%