Course Details in 2026/27 Session

Module Title	LH Game Theory
School	Computer Science
Department	Computer Science
Module Code	06 40088
Module Lead	Dr Jens Christian Clausen
Level	Honours Level
Credits	20
Semester	Semester 2
Pre-requisites
Co-requisites
Restrictions	None
Contact Hours	Lecture-33 hours Practical Classes and workshops-22 hours Guided independent study-145 hours Total: 200 hours
Exclusions
Description	Game theory provides a mathematical framework to describe strategic or economic interactions among agents, which can act (play) one out of a set of strategies. The core of a game-theoretic analysis are the payoffs (benefits minus costs) that agents receive when playing against each other's strategy. Evolutionary game theory transfers these concepts to biology where reproductive fitness is modelled by benefits and costs, and replicator equations enable analysis of the stability of equilibria as well as numerically investigations of non-equilibrium dynamics. Game-theoretic concepts are widely transferred and applied to social, economic or biological problems to explain opinion formation and decision-making in societies or companies, as well as collective behaviour in biology. In this module we will study the foundations of economic as well as evolutionary game theory, consider examples of real-world dilemma situations (strategic, climate, vaccination) including public goods games and multiplayer games.
Learning Outcomes	By the end of the module students should be able to: 20.1 Understand and explain the central concepts of non-cooperative, cooperative and evolutionary game theory including the minimax theorem, dominance, Nash equilibria, replicator equations and evolutionarily stable strategies 20.2 Understand, explain, and apply strategic and normal form game concepts to analyse real-world conflict situations and aid decision-making 20.3 Apply game-theoretic concepts in agent-based simulations in unstructured and structured populations, including spreading and decision-making on networks 20.4 Transfer game-theoretic concepts to model social, economic or biological problems and analyse the models through mathematical reasoning and computer simulations
Assessment
Assessment Methods & Exceptions	Assessment: Assessment: 2hr Examination (80%), Continuous Assessment (20%) Reassessment: 2hr Examination (100%)
Other
Reading List