MSE Master of Science in Engineering

The Swiss engineering master's degree

Chaque module vaut 3 ECTS. Vous sélectionnez 10 modules/30 ECTS parmi les catégories suivantes:

  • 12-15 crédits ECTS en Modules technico-scientifiques (TSM)
    Les modules TSM vous transmettent une compétence technique spécifique à votre orientation et complètent les modules de spécialisation décentralisés.
  • 9-12 crédits ECTS en Bases théoriques élargies (FTP)
    Les modules FTP traitent de bases théoriques telles que les mathématiques élevées, la physique, la théorie de l’information, la chimie, etc., vous permettant d’étendre votre profondeur scientifique abstraite et de contribuer à créer le lien important entre l’abstraction et l’application dans le domaine de l’innovation.
  • 6-9 crédits ECTS en Modules contextuels (CM)
    Les modules CM vous transmettent des compétences supplémentaires dans des domaines tels que la gestion des technologies, la gestion d’entreprise, la communication, la gestion de projets, le droit des brevets et des contrats, etc.

Le descriptif de module (download pdf) contient le détail des langues pour chaque module selon les catégories suivantes:

  • leçons
  • documentation
  • examen 
Multi-agent systems (FTP_MultiASys)

Natural, social, and engineered complex systems can be modelled as being composed of agents interacting with one another and their environment. This course introduces students to the theory, tools and techniques for understanding and solving problems related to such systems. 

The course is composed of two parts. In the first one, both cooperative and selfish agents and interactions between them will be discussed. The methodological support will be provided by game theory.  

In the second part, the focus will be on the study and analysis of models of systems in the aim of understanding the conditions under which certain properties can emerge. Based on this, mechanisms to impede possible undesired behaviour of systems and to stir the desired dynamics will be developed.

Throughout the course, several application areas such as cooperation and competition, social networks, opinion dynamics and social influence will be discussed.

Compétences préalables

Basic knowledge of probability, algebra, calculus and differential equations. Basics of procedural programming and ability to implement small programs in an arbitrary language, e.g. Python, Matlab, R, Java, C#, C++, C, etc.

Objectifs d'apprentissage

A successful participant of this course is able to

-   understand the rationale of multi-agent systems, modelling and simulation.

-   model scenarios with multiple interacting agents in the language of game theory

-   evaluate the feasibility of achieving goals with agents using game theory

-   learn to choose the appropriate class of models with agents to characterise different complex systems

-   implement in an efficient way a model of a system, then visualise, understand and analyse the corresponding outputs

Catégorie de module

-   Multi-agent interaction: games in normal form, dominant strategies, Nash equilibria, Pareto optimality, partial observability, Bayesian games, cooperative and coalition games, repeated games, multi-agent learning.

-   Population dynamics: evolutionarily stable strategies, Replicator’s dynamics

-   Network dynamics: Small world phenomenon, epidemics

-   Multi-agent simulation: Cellular automata and the Game of life, demographic games, opinion dynamics and social influence. 

Méthodes d'enseignement et d'apprentissage

-   Lectures

-   Exercises and homework

-   Practical work with appropriate tools and group project

-   Literature studies


-    A Concise Introduction to Multi-Agent Systems and Distributed Artificial Intelligence. Nikos Vlassis. Morgan & Claypool Publishers, 2007.          

-   Introduction to Multi-Agent Systems - 2nd Edition. Michael Wooldridge. John Wiley & Sons, 2009. 

-   Multi-Agent Systems. Yoav Shoham and Kevin Leyton-Brown. Cambridge University Press, 2009.

-   Generative Social Science. Joshua Epstein. Princeton University Press, 2006.

Télécharger le descriptif complet