Université Lyon 1
Université de Lyon
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Accueil  >>  Master  >>  Nanosciences et nanotechnologies  >>  M1 Nanosciences et nanotechnologies  >>  Introduction to system design
  • Domaine : Masters du domaine SCIENCES, TECHNOLOGIES, SANTE
  • Diplôme : Master
  • Mention : Nanosciences et nanotechnologies
  • Parcours : M1 Nanosciences et nanotechnologies
  • Unité d'enseignement : Introduction to system design
Nombre de crédits de l'UE : 3
Code APOGEE : PHY1229M
UE Libre pour ce parcours
UE valable pour le semestre 1 de ce parcours
    Responsabilité de l'UE :
QUIQUEREZ LAURENT
 laurent.quiquerezuniv-lyon1.fr
04.72.44.81.74
    Type d'enseignement
Nb heures *
Cours Magistraux (CM)
24 h
Travaux Dirigés (TD)
3 h
Travaux Pratiques (TP)
3 h
Durée de projet en autonomie de l'étudiant (PRJ)
0 h
Durée du stage
0 h
Effectifs Cours magistraux (CM)
210 étudiants
Travaux dirigés (TD)
35 étudiants
Travaux pratiques (TP)
18 étudiants

* Ces horaires sont donnés à titre indicatif.

    Pré-requis :

A basic scientific culture (Chemistry, Physics or Electrical Engineering) and experience in using digital equipment (computer, smartphone, etc.) are the only prerequisites.

Basic knowledge of computer science (computer architecture, coding of numbers in programming) is a plus.

    Compétences attestées (transversales, spécifiques) :
  • Properly format models suitable for use in system design/analysis.
  • Understand discrete (digital) system simulation.
  • Understand the modelling of continuous systems (analog, physical).
  • Understand and apply the main optimisation techniques.
    Programme de l'UE / Thématiques abordées :

Systems build upon nano-devices are widely spread in computers, transports or healthcare equipment. These systems usually involve a huge number of nano-devices, leading to high complexity structures and hardly predictable behaviours.

This course provides basic knowledge and tools to study and design such systems. This course provides concepts and tools for the description, the analysis, the design, the optimisation and the validation of such systems at multiple scales. Many examples are used, with a special highlight on digital systems.

This course is built upon case studies, practicals and labs. It intends to provide basics engineering skills to be able to interact with product engineers or to manage teams in a system R&D environment.

Outline of the course

1. Introduction

  1.1. Systems basics, Complexity

  1.2. Examples of systems, behaviour and size effects (the system is more than the sum of its parts).

2. Design Methodologies

  2.1. Functional and structural analysis,

  2.2. Representations: programs and organigrams,

  2.3. Design methods: bottom-up and top-down.

3. Methods and tools for top-down design

  3.1. Validation/Simulation of systems (FEM, continuous time, discrete time),

  3.2. Modeling and design tools,

  3.3. Optimization techniques.

    Liste des autres Parcours / Spécialité / Filière / Option utilisant cette UE :
Date de la dernière mise-à-jour : 19/11/2021
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