Mobile and Embedded Computing

lingi2146  2017-2018  Louvain-la-Neuve

Mobile and Embedded Computing
5 credits
30.0 h + 15.0 h
Q2
Teacher(s)
Sadre Ramin;
Language
English
Main themes
  • Cellular networks
  • Internet of things and sensor networks
  • Mobile and embedded applications
Aims

At the end of this learning unit, the student is able to :

1

Given the learning outcomes of the "Master in Computer Science and Engineering" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:

  • INFO1.1-3
  • INFO2.4-5
  • INFO5.2-5
  • INFO6.1, INFO6.3

Given the learning outcomes of the "Master [120] in Computer Science" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:

  • SINF1.M1
  • SINF2.4-5
  • SINF5.2-5
  • SINF6.1, SINF6.3

Students completing this course successfully will be able to

  • Explain how in mobile cellular and sensor networks operate
  • Describe the key problems that affect these environments and identify their impact on the mobile and embedded systems
  • Integrate and combine the above concepts in order to solve complex mobile computing problems.
 

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Evaluation methods
Evaluation methods: - Project (40% of the final mark) - Final exam (60% of the final mark) The project work is mandatory and cannot be repeated for the second examination session.
Other information
Background:
  • LSINF1252 
  • LINGI1341
Faculty or entity
INFO


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Data Science Engineering
DATE2M
5
Master [120] in Electrical Engineering
ELEC2M
5
Master [120] in Computer Science and Engineering
INFO2M
5
Master [120] in Computer Science
SINF2M
5
Master [120] in data Science: Information technology
DATI2M
5