5.00 credits
30.0 h + 15.0 h
Q2
Teacher(s)
Sadre Ramin;
Language
English
> French-friendly
> French-friendly
Main themes
- Cellular networks
- Internet of things and sensor networks
- Mobile and embedded applications
Learning outcomes
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:
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Content
The Internet of Things is everywhere. Many different kinds of applications, from logistics to Smart Homes to eHealth, rely on continuous data collection by wireless, small devices. In this course, we will program such devices and learn about the technologies that enable them to communicate with servers in the Internet over short and large distances. The focus will be on software and network protocols for mobile and embedded devices. Design of low power hardware and antenna technology are not part of this course.
- Wireless sensor networks
- Internet of Things
- Programming embedded systems with network connection
- Network protocols for resource-constrained devices
- Introduction to mobile networks
Teaching methods
- Lectures
- Scientific readings
- Practical lab sessions
- Project activities
Evaluation methods
Mode of evaluation for the June session:
The professor may request a student to go through an additional oral exam as a complement of the exam and/or of the project activities, in cases including, but not limited to, technical issues, or suspicion of irregularities.
- Exam (50% of the final mark)
- Project activities in groups (40% of the final mark)
- Quizzes (10% of the final mark)
The professor may request a student to go through an additional oral exam as a complement of the exam and/or of the project activities, in cases including, but not limited to, technical issues, or suspicion of irregularities.
Other information
Background:
- LINFO1252 (C and computer systems)
- LINGI1341 (IP networks)
Online resources
Moodle and/or Teams
Faculty or entity
INFO
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Electrical Engineering
Master [120] in Computer Science and Engineering
Master [120] in Computer Science
Master [120] in Data Science Engineering
Master [120] in Data Science: Information Technology