Skip to main content

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