Data edge computing and challengesLaajuus (4 cr)
Code: TTC8250
Credits
4 op
Teaching language
- Finnish
Responsible person
- Jari Hautamäki
Objective
Course objectives
You understand and know how to take into account the requirements set by edge computing for the IoT system.
You understand the challenges of edge computing in connection with IoT systems. You know and are able to utilize the technologies and algorithms used in sensing for implementation of systems. You can implement solutions built from light sensor nodes and fusion sensors utilizing edge computing in the implementation of an IoT system.
EUR-ACE: Knowledge and understanding
EUR-ACE: Investigations and information retrieval
EUR-ACE: Engineering practice
Content
Challenges of edge computing
- delivery of current
- calculation capacity
- memory capacity
- data security
Technologies and algorithms in edge computing
Edge computing with light sensor networks
Fusion sensors
Image recognition implemented on the edge, machine learning, AI applications
Qualifications
Basics in Programming
IT service platforms
Use and command of Linux
Introduction to IoT systems
Assessment criteria, approved/failed
The student understands the challenges of data edge computing and can resolve them in connection with IoT systems. The student knows how to utilize technologies used in edge computing and algorithms used in implementation of systems. The student knows how to implement a solution utilizing edge computing as part of a more extensive IoT system.