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EC220-12 Mathematical Economics 1A

Undergraduate Level 2
Module leader
Costas Cavounidis
Credit value
Module duration
10 weeks
100% exam
Study location
University of Warwick main campus, Coventry
Introductory description

Mathematical Economics 1A, "Game Theory," is an introduction to the rigorous mathematical study of strategic interactions. Students will learn how game theorists model such interactions, and how those models can be analyzed. By the end of the module, they will have developed a formidable toolbox of game-theoretic techniques, and will be familiar with a variety of applications of these techniques to real-world situations, both economic and otherwise.

Module web page

Module aims

Mathematical Economics 1a, “Introduction to Game Theory”, aims to provide a basic understanding of pure game theory and also introduce the student to a number of applications of game theory to economic problems of resource allocation.

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

The module will typically cover the following topics: Games in strategic form: Nash equilibrium and its applications to voting games, oligopoly, provision of public goods .Games in extensive form: sub game perfect equilibrium and its applications to voting games, repeated games. Static games with incomplete information: Bayesian equilibrium and its applications to auctions, contracts and mechanism design. Dynamic games of incomplete information: Perfect Bayesian equilibrium, Sequential equilibrium and its application to signalling games. Bargaining theory: Nash bargaining, non-cooperative bargaining with alternating offers and applications to economic markets. Evolutionary Game Theory Evolutionary game theory.

Learning outcomes

By the end of the module, students should be able to:

  • Subject Specific and Professional Skills:...demonstrate understanding of the tools of game theory, and the ability to apply them to wide classes of problems. The teaching and learning methods that enable students to achieve this learning outcome are: Lectures, seminars, guided reading and independent study. The summative assessment methods that measure the achievement of this learning outcome are: examination
Indicative reading list

Please see Talis Aspire link for most up to date list.

View reading list on Talis Aspire

Subject specific skills

Students will have the opportunity to develop skills in:
Analytical thinking and communication
Analytical reasoning
Critical thinking
Strategic thinking
Policy evaluation
Analysis of incentives
Concepts of Simultaneity and Endogeneity
Analysis of optimisation
Understanding of Uncertainty and Incomplete Information

Transferable skills

Students will have the opportunity to develop:
Numeracy and quantitative skills
Written communication skills
Oral communication skills
Mathematical, statistical and data-based research skills

Study time

Type Required
Lectures 20 sessions of 1 hour (17%)
Seminars 5 sessions of 1 hour (4%)
Private study 95 hours (79%)
Total 120 hours
Private study description

Private study will be required in order to prepare for seminars/classes, to review lecture notes, to prepare for forthcoming assessments, tests, and exams, and to undertake wider reading around the subject.


No further costs have been identified for this module.

You must pass all assessment components to pass the module.

Students can register for this module without taking any assessment.

Assessment group B6
Weighting Study time
Online Examination 100%

A paper which examines the course content and ensures learning outcomes are achieved.

~Platforms - AEP

  • Online examination: No Answerbook required
  • Students may use a calculator
Feedback on assessment

The Department of Economics is committed to providing high quality and timely feedback to students on their assessed work, to enable them to review and continuously improve their work. We are dedicated to ensuring feedback is returned to students within 20 University working days of their assessment deadline. Feedback for assignments is returned either on a standardised assessment feedback cover sheet which gives information both by tick boxes and by free comments or via free text comments on tabula, together with the annotated assignment. For tests and problem sets, students receive solutions as an important form of feedback and their marked assignment, with a breakdown of marks and comments by question and sub-question. Students are informed how to access their feedback, either by collecting from the Undergraduate Office or via tabula. Module leaders often provide generic feedback for the cohort outlining what was done well, less well, and what was expected on the assignment and any other common themes. This feedback also includes a cumulative distribution function with summary statistics so students can review their performance in relation to the cohort. This feedback is in addition to the individual-specific feedback on assessment performance.

Past exam papers for EC220


Any of:

EC106-24 Introduction to Economics

EC107-30 Economics 1

EC137-15 Economics 1: Micro

To take this module, you must have passed:

Post-requisite modules

If you pass this module, you can take:

  • EC301-15 Mathematical Economics 2: Dynamics, Uncertainty & Asymmetrical Information
  • EC301-15 Mathematical Economics 2: Dynamics, Uncertainty & Asymmetrical Information


This module is Core optional for:

  • Year 2 of USTA-G300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
  • Year 2 of USTA-Y602 Undergraduate Mathematics,Operational Research,Statistics and Economics

This module is Optional for:

  • Year 2 of USTA-G1G3 Undergraduate Mathematics and Statistics (BSc MMathStat)
  • Year 2 of USTA-GG14 Undergraduate Mathematics and Statistics (BSc)

This module is Option list A for:

  • Year 2 of USTA-G300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
  • Year 2 of USTA-Y602 Undergraduate Mathematics,Operational Research,Statistics and Economics