Mobile and Embedded Computing

lingi2146  2020-2021  Louvain-la-Neuve

Mobile and Embedded Computing
Due to the COVID-19 crisis, the information below is subject to change, in particular that concerning the teaching mode (presential, distance or in a comodal or hybrid format).
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.
 
Content
  • Wireless sensor networks
  • Internet of Things
  • Programming embedded systems with network connection
  • Network protocols for resource-constrained devices
  • Introduction to mobile networks
Teaching methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

The course consists of a series of lectures and accompagning exercises and project(s). The teaching method can change depending on the circumstances and the number of participating students or for other reasons. Face-to-face classes as well as remote teaching or a mix of the two methods are possible.
Evaluation methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

Envisaged mode of evaluation:
  • Project (40% of the final mark)
  • Exam (60% of the final mark)
Depending on the circumstances and the number of participating students or other reasons, modifications to the evaluation plan can happen, for example replacing the written exam by an oral exam or a second project. In case of doubt, the teacher reserves the right to test some students in an additional oral exam that complements or replaces the grade obtained in the project(s) and/or the written exam.
Other information
Background:
  • LSINF1252 
  • LINGI1341 (or a similar basic networking course)
Faculty or entity
INFO
Force majeure
Evaluation methods
Depending on the public health conditions during the exam period, the evaluation can take different forms:
  • Group project (40% of the final mark) during the quadrimester and a written (face-to-face) exam during the exam session (60% of the final mark)
or
  • Group project (40% of the final mark) during the quadrimester and individual projet during the exam session (60% of the final mark)


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

Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Computer Science and Engineering

Master [120] in Computer Science

Master [120] in Electrical Engineering

Master [120] in Data Science Engineering

Master [120] in Data Science: Information Technology