ULMS Electronic Module Catalogue
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title Game Theory with Applications
Code ECON813
Coordinator Dr CW Bach
Economics
C.W.Bach@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2022-23 Level 7 FHEQ First Semester 15

Pre-requisites before taking this module (other modules and/or general educational/academic requirements):
 

Modules for which this module is a pre-requisite:
 

Programme(s) (including Year of Study) to which this module is available on a required basis:
 

Programme(s) (including Year of Study) to which this module is available on an optional basis:
 

Teaching Schedule
  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours 20

 5

       5

 30
Timetable (if known) 120 mins X 1 totaling 20
  		60 mins X 1 totaling 5
  		      60 mins X 1 totaling 5
  		 
Private Study 120
TOTAL HOURS 150

Assessment
EXAM Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Examination There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When): Semester 1  2    80       
CONTINUOUS Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Mid-term test There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When): Semester 1  24    20       

Aims

The objective of the module is to provide a graduate level and modern introduction to game theory. This is the study of strategic interactions, i.e. situations where outcomes depend not only on our own actions but also on those of others. In particular, students will be taught how to apply game theory to a range of economic, business, everyday and social contexts.

Learning Outcomes

(LO1) Conduct advanced strategic analysis by modelling a game and possible reasoning concepts and inferring behavioural predictions.

(LO2) Distinguish between types of games.

(LO3) Apply games in a range of economic, business and social contexts.

(S1) Analytical and problem solving skills.
Students will be taught analytical skills to solve problems using game theory.

(S2) Numeracy.
Students will be taught to mathematically analyse and solve problems.

(S3) Communication skills.
Students will be taught to describe strategic interactions in a precise manner.

Teaching and Learning Strategies

Hybrid delivery, with social distancing on campus.

2 hour lecture x 10 weeks
1 hour seminar x 5 weeks
1 hour group learning x 5 weeks
120 hours self-directed learning

Syllabus
 

Static Games:

Normal Form;
Rationality;
Strict Dominance;
Pearce’s Lemma;
Common Belief in Rationality;
Iterated Strict Dominance;
Correct Beliefs;
Nash equilibrium;
Incomplete Information;
Generalised Iterated Strict Dominance;
Applications of Static Games;

Dynamic Games:

Extensive Form;
Common Belief in Future Rationality;
Backward Dominance;
Backward Induction;
Common Strong Belief in Rationality;
Forward Induction;
Applications of Dynamic Games.

Recommended Texts
Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.