Course Details in 2024/25 Session

Module Title	LH Game Theory and Multicriteria Decision Making
School	Mathematics
Department	Mathematics
Module Code	06 32281
Module Lead	Dr Sandor Nemeth
Level	Honours Level
Credits	20
Semester	Semester 2
Pre-requisites	LI Linear Algebra & Linear Programming - (06 25765)
Co-requisites
Restrictions	None
Contact Hours	Lecture-46 hours Practical Classes and workshops-10 hours Guided independent study-144 hours Total: 200 hours
Exclusions
Description	The first half of this module presents game theory as the study of decision-making in competitive situations. It provides an introduction to the theory of finite and infinite games with a particular emphasis on 2-person games. All results will be presented in a rigorous way and accompanied, wherever possible, by showing economic applications. This module also demonstrates that the results and concepts of other branches of mathematics (like the fixed point theorem, convexity, duality) have practical interpretation and use. The second half of this module explores multicriteria or multiobjective optimisation where several conflicting objectives have to be optimised simultaneously: stock portfolios have to be chosen such that the portfolio maximises the return and simultaneously minimises the risk; health care has to be managed such that the service is efficient yet not too costly; hazardous material has to be transported such that risk as well as costs incurred are minimal; bridges and buildings have to be designed such that they can be built cheap but still with maximum stability etc. As such, multicriteria problems are of prime importance for decision makers in the private as well as the public sector. This module brings together various ideas from geometry and analysis in studying solutions and solution methods for multicriteria problems in management and science.
Learning Outcomes	By the end of the module students should be able to: Understand and use the main concepts of game theory like optimal strategies, stable sets and the core of the game Formulate games from economic narratives and use a range of methods for solving these games Understand and explain the basic concepts of multicriteria optimisation Formulate real-world problems from management and science as multicriteria optimisation problems and be able to discuss different solution concepts
Assessment	32281-01 : Raw Module Mark : Coursework (100%)
Assessment Methods & Exceptions	3 hour Written Unseen Examination (80%); In-course Assessment (20%).
Other
Reading List