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 
Management of Complex Processes (CM_ComplPro)

One of the biggest challenges encountered in management is recognizing opportunities and making use of them while giving consideration to the associated risks. The constantly increasing dynamism and complexity of the environment in which companies and organizations operate is, however, making it difficult to take successful decisions. Multifactorial correlations, non-linearities, feedback effects and time lags make it difficult to correctly predict the impacts of a decision.
Students gain insight into the methods and tools employed for decision-making when faced with complex questions. They learn about cause-and-effect diagrams and quantitative simulation models and apply these in case studies.

Objectifs d'apprentissage

Students

  • are familiar with the systemic approach, can correctly identify the limits of a system and are aware that models only depict reality imperfectly
  • are able to analyze complex processes applying the correct methodology and communicate about them
  • know how to manage conflicts of objectives with the correct methodology (e.g. costs versus quality)
  • can depict complex processes as a cause-and-effect network
  • can depict technical and operational processes in the form of an event-orientated simulation model
  • are familiar with the most important steps of a simulation study
  • understand the problem-solving cycle as a creative process
  • have learned to implement systemic problem-solving methods in operational practice

Catégorie de module

  1. Basics of types of decision, decision making process and six sources of influence
  2. Shared mental models 
  3. Introduction to system dynamics (causal loop diagrams, stocks and flows, analysis of dynamic system behavior)
  4. Simulation paradigms applied to understand behavior of dynamic systems governed by human decisions

Méthodes d'enseignement et d'apprentissage

Lecture with examples to be solved in a group. Exercises and case studies.

Bibliographie


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