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Introduction to IoT Pipeline (15 cr)

Code: AT00CK33-3002

General information


Enrollment

01.12.2022 - 04.01.2023

Timing

09.01.2023 - 28.04.2023

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
  • Jyrki Antikainen

Scheduling groups

  • Luennot 1 (Size: 500. Open UAS: 0.)

Groups

  • TLPRIIT22S

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

Implementation and methods of teaching

Course consists of 3 modules:

Assessment scale

1-5