Skip to main content

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.