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
-
TLPRIIT23SBachelor's Degree Programme in Industrial Information Technology 23S Lappeenranta
-
TLPRIIT22SBachelor'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
-
TLPRIIT21SBachelor'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