Introduction to IoT Pipeline (15 cr)
Code: AT00CK33-3001
General information
Enrollment
19.11.2021 - 09.01.2022
Timing
01.01.2022 - 31.07.2022
Number of ECTS credits allocated
15 op
Mode of delivery
Contact teaching
Unit
Faculty of Technology (LAB)
Campus
Lappeenranta Campus
Teaching languages
- English
Degree programmes
- Bachelor's Degree Programme in Industrial Information Technology
Teachers
- Mikko Ruotsalainen
- Karri Miettinen
- Jouni Könönen
- Juha Hyytiäinen
- Jyrki Antikainen
Scheduling groups
- Luennot (Size: 0. Open UAS: 0.)
Groups
-
TLPRIIT21S
Small groups
- Luennot 1
Learning outcomes
The student is able to
- create a program using object-oriented programming language with databases (in the cloud too)
- understand the principles of user interfaces
- understand operating systems principles
- understand the role of the cloud platform in an IoT pipeline
- explain the structure of the IoT data pipeline, the meaning of the parts of the pipeline and principles of the machine learning and artificial intelligence
- understand the requirements of sensor data in the data value chain.
- understand the basic principles of the secure data transfer from the IoT device to the IoT data pipeline
Assessment scale
1-5