GAME THEORY WITH APPLICATIONS IN ECONOMICS AND BIOLOGY - 2017/8
Module code: MAT3046
SKELDON A Dr (Maths)
Number of Credits
FHEQ Level 6
Module cap (Maximum number of students)
Overall student workload
|Assessment type||Unit of assessment||Weighting|
|School-timetabled exam/test||IN-SEMESTER TEST||20%|
Prerequisites / Co-requisites
This module introduces the topic of Game Theory and various mathematical techniques used in the analysis of games. Classic examples of games are introduced including those with application in economics and biology. The theoretical backbone is a combination of Calculus, Linear Algebra, Ordinary Differential Equations and, in the case of mixed strategies for games, Probability.
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Indicative content includes:
Zero sum games
General sum games such as the Prisoner’s Dilemma and the Public Goods Game.
The Kuhn-Tuckeer-Karush Theorem
Application of Brouwer's Fixed-Point Theorem.
Methods of Teaching / Learning
The learning and teaching strategy is designed to:
Give a detailed introduction to Game Theory, which requires understanding and studying a range of mathematical techniques, including methods of solution for nonlinear programming problems.
Ensure experience is gained (through demonstration) of the methods typically used to formulate and solve game theory problems so that students can later apply their own decision-making to formulate and solve game theoretic problems.
The learning and teaching methods include:
3 x 1 hour lectures per week for 11 weeks, including notes plus extra examples written and worked through on the board (or projector-display) . This also includes Q&A opportunities for students.
The assessment strategy is designed to provide students with the opportunity to demonstrate:
Subject knowledge through explicit and implicit recall of key definitions and theorems as well as interpreting this theory.
Understanding and application of subject knowledge to solve constrained optimization problems, originating from two-player zero-sum/constant-sum/general-sum games, including repeated and evolutionary games
Thus, the summative assessment for this module consists of:
One two-hour examination (three answers from four contribute to exam mark) at the end of the semester; worth % of module mark.
One in-semester test; worth 20% of module mark.
Formative assessment and feedback
Students receive individual written feedback via a number of marked formative coursework assignments over an 11-week period. The lecturer also provides verbal group feedback during lectures. (Occasionally group feedback may be provided online when applicable.)
Reading list for GAME THEORY WITH APPLICATIONS IN ECONOMICS AND BIOLOGY : http://aspire.surrey.ac.uk/modules/mat3046
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2017/8 academic year.