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Implementing IoT PipelineLaajuus (15 op)

Tunnus: AT00CK36

Laajuus

15 op

Opetuskieli

  • englanti

Osaamistavoitteet

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

Ilmoittautumisaika

20.11.2024 - 03.01.2025

Ajoitus

01.01.2025 - 30.06.2025

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
  • Jyrki Antikainen
Opetusryhmät
  • Luennot 1 (Koko: 500. Avoin AMK: 0.)
Ryhmät
  • TLPRIIT23S
    Bachelor's Degree Programme in Industrial Information Technology 23S Lappeenranta
  • TLPRIIT22S
    Bachelor's Degree Programme in Industrial Information Technology 22S Lappeenranta
Pienryhmät
  • Luennot 1

Osaamistavoitteet

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

Ajoitus ja läsnäolo

Attending classes is required according to the schedules defined in the Time-edit.

Oppimateriaali ja suositeltava kirjallisuus

Material shared in the Moodle platform, presented during the lessons, www*.

These will be clarified during the class hours.

Oppimisympäristö

Lappeenranta Campus & Moodle

Opiskelijan ajankäyttö ja kuormitus

The scope of the course is 15 ECTS, which corresponds to an average of 412 hours of studying. This includes the defined lectures, self-studying and exercises.

Sisältö

- Scalable RESTful API-services for IoT Data
- ML and AI operations also in edge devices
- Databases in scalable environments
- Team leading in ICT project and a member in multidisciplinary project

Lisätietoja opiskelijalle: mm. edeltävä osaaminen

Deep understanding of the IoT Pipeline basics
- Embedded systems
- Able to manage single VPS instance via SSH
- Secure communication over HTTPS
- Able to build backend services and integrate them to databases

Arviointimenetelmät

Course contains exercises, project work and possible exams, which will be detailed in each category separately.

Arviointiasteikko

1-5

Hylätty (0)

Not able to reach level 1 criteria.

Arviointikriteerit: taso 1: (arviointiasteikko 1-5)

The student and the group have been able to cooperate productively and document their work. The student and the group are able to present their output to other students as instructed. The output mainly meets the criteria of the assignments.

Arviointikriteerit: taso 3 (arviointiasteikko 1-5)

The student and group deliverables (for example, presentations) are clear and logical.

They clearly show the implementation in accordance with the tasks given and any deviations have been reported. The student's and group's deliverables reflect an understanding of the work, e.g. the terms and professional words are correct. The student and group members also talk about what they have learned and solutions to challenges (reflection).

Arviointikriteerit: taso 5 (arviointiasteikko 1-5)

Student and group deliverables (for example, presentations) are clear and logical.

The student's and group's deliverables also contain a link to the theory of the course, and you can compare and justify with facts the solutions that have been used in the work. The student and the group have been able to add something extra they came up with to the work. The presentations are illustrative and things are explained with the help of examples

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
  • LAB_virtuaalihenkilö_TVT_01 Virtuaaliopettaja (LAB)
  • Karri Miettinen
  • Jyrki Antikainen
Opetusryhmät
  • Luennot 1 (Koko: 500. Avoin AMK: 0.)
Ryhmät
  • TLPRIIT21S
    Bachelor's Degree Programme in Industrial Information Technology 21S Lappeenranta
Pienryhmät
  • Luennot 1

Osaamistavoitteet

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

Arviointiasteikko

1-5