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Introduction to IoT PipelineLaajuus (15 op)

Tunnus: AT00CK33

Laajuus

15 op

Opetuskieli

  • englanti

Osaamistavoitteet

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

Ilmoittautumisaika

20.11.2024 - 03.01.2025

Ajoitus

07.01.2025 - 30.04.2025

Opintopistemäärä

15 op

Toteutustapa

Lähiopetus

Yksikkö

Teknologia (LAB)

Toimipiste

Lahden kampus

Opetuskielet
  • Englanti
Koulutus
  • Bachelor's Degree Programme in Industrial Information Technology
Opettaja
  • Mira Vorne
  • Jyrki Antikainen
Opetusryhmät
  • Luennot 1 (Koko: 0. Avoin AMK: 0.)
Ryhmät
  • TLTIIIT24S
    Bachelor's Degree Programme in Industrial Information Technology 24S Lahti
Pienryhmät
  • Luennot 1

Osaamistavoitteet

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

Arviointiasteikko

1-5

Ilmoittautumisaika

20.11.2023 - 05.01.2024

Ajoitus

08.01.2024 - 26.04.2024

Opintopistemäärä

15 op

Toteutustapa

Lähiopetus

Yksikkö

Teknologia (LAB)

Toimipiste

Lappeenrannan kampus

Opetuskielet
  • Englanti
Koulutus
  • Bachelor's Degree Programme in Industrial Information Technology
Opettaja
  • Mira Vorne
  • Karri Miettinen
  • Mikko Ruotsalainen
  • Jyrki Antikainen
Opetusryhmät
  • Luennot 1 (Koko: 0. Avoin AMK: 0.)
Ryhmät
  • TLPRIIT23S
    Bachelor's Degree Programme in Industrial Information Technology 23S Lappeenranta
Pienryhmät
  • Luennot 1

Osaamistavoitteet

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

Arviointiasteikko

1-5

Ilmoittautumisaika

01.12.2022 - 04.01.2023

Ajoitus

09.01.2023 - 28.04.2023

Opintopistemäärä

15 op

Toteutustapa

Lähiopetus

Yksikkö

Teknologia (LAB)

Toimipiste

Lappeenrannan kampus

Opetuskielet
  • Englanti
Koulutus
  • Bachelor's Degree Programme in Industrial Information Technology
Opettaja
  • Mikko Ruotsalainen
  • Karri Miettinen
  • Jyrki Antikainen
Opetusryhmät
  • Luennot 1 (Koko: 500. Avoin AMK: 0.)
Ryhmät
  • TLPRIIT22S
    Bachelor's Degree Programme in Industrial Information Technology 22S Lappeenranta
Pienryhmät
  • Luennot 1

Osaamistavoitteet

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

Arviointiasteikko

1-5

Ilmoittautumisaika

19.11.2021 - 09.01.2022

Ajoitus

01.01.2022 - 31.07.2022

Opintopistemäärä

15 op

Toteutustapa

Lähiopetus

Yksikkö

Teknologia (LAB)

Toimipiste

Lappeenrannan kampus

Opetuskielet
  • Englanti
Koulutus
  • Bachelor's Degree Programme in Industrial Information Technology
Opettaja
  • Mikko Ruotsalainen
  • Karri Miettinen
  • Jouni Könönen
  • Juha Hyytiäinen
  • Jyrki Antikainen
Opetusryhmät
  • Luennot (Koko: 0. Avoin AMK: 0.)
Ryhmät
  • TLPRIIT21S
    Bachelor's Degree Programme in Industrial Information Technology 21S Lappeenranta
Pienryhmät
  • Luennot

Osaamistavoitteet

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

Arviointiasteikko

1-5