Fiches de cours 2017-2018

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Distributed intelligent systems

ENG-466

Enseignant(s) :

Martinoli Alcherio

Langue:

English

Summary

The goal of this course is to provide methods and tools for modeling distributed intelligent systems as well as designing and optimizing coordination strategies. The course is a well-balanced mixture of theory and laboratory exercises using simulation and real hardware platforms.

Content

 

 

Keywords

Artificial intelligence, swarm intelligence, distributed robotics, sensor networks, modeling, machine-learning, control

Learning Prerequisites

Required courses

Fundamentals in analysis, probability, and programming for both compiled and interpreted languages

Recommended courses

Basic knowledge in statistics, specific programming language used in the course (C and Matlab), and signals and systems

 

Learning Outcomes

By the end of the course, the student must be able to:

Transversal skills

Teaching methods

Ex-cathedra lecture and assisted exercises

Expected student activities

Attending lectures, carrying out exercises, and reading hand outs.

Assessment methods

Continuous control with final written exam.

Supervision

Office hours Yes
Assistants Yes
Forum No

Resources

Bibliography

Lecture notes, selected papers and book chapters distributed at each lecture.

Websites
Moodle Link

Prerequisite for

R&D activities in engineering

Dans les plans d'études

Semaine de référence

 LuMaMeJeVe
8-9     
9-10     
10-11 GRC001   
11-12    
12-13     
13-14  GRB001
GRC002
  
14-15    
15-16    
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     
 
      Cours
      Exercice, TP
      Projet, autre

légende

  • Semestre d'automne
  • Session d'hiver
  • Semestre de printemps
  • Session d'été
  • Cours en français
  • Cours en anglais
  • Cours en allemand