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Implementing IoT Pipeline (15 cr)

Code: AT00CK36-3002

General information


Enrollment

20.11.2024 - 03.01.2025

Timing

01.01.2025 - 30.06.2025

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

  • Mira Vorne
  • Jyrki Antikainen

Scheduling groups

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

Groups

  • TLPRIIT23S
  • TLPRIIT22S

Small groups

  • Lecture 1

Learning outcomes

The student is able to
- create a scalable restful API-services for IoT data
- implement ML and AI operations also in edge devices
- use appropriate databases to store IoT data in the platform
- work as a team leader in an ICT project and a member in a multidisciplinary project

Assessment scale

1-5