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Designing IoT PipelineLaajuus (15 op)

Tunnus: AT00CK35

Laajuus

15 op

Opetuskieli

  • englanti

Osaamistavoitteet

The student is able to
- design and use appropriate data structures and algorithms
- create a simple GUI for IoT-system
- transfer data securely from IoT device to a cloud using platform services (programming point of view)
- use version control systems in software development
- design and evaluate ML and AI algorithms
- work as an active team member in an ICT project with modern teamwork methods and tools

Ilmoittautumisaika

06.05.2024 - 30.08.2024

Ajoitus

10.09.2024 - 31.12.2024

Opintopistemäärä

15 op

Toteutustapa

Lähiopetus

Yksikkö

Teknologia (LAB)

Toimipiste

Lappeenrannan kampus

Opetuskielet
  • Englanti
Koulutus
  • Bachelor's Degree Programme in Industrial Information Technology
Opettaja
  • Karri Miettinen
  • Jyrki Antikainen
Opetusryhmät
  • Luennot (Koko: 0. 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

Osaamistavoitteet

The student is able to
- design and use appropriate data structures and algorithms
- create a simple GUI for IoT-system
- transfer data securely from IoT device to a cloud using platform services (programming point of view)
- use version control systems in software development
- design and evaluate ML and AI algorithms
- work as an active team member in an ICT project with modern teamwork methods and tools

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

The course consists of three sub-areas:
- Data structures and Algorithms
- IoT Pipeline
- IoT Project

Lisätietoja opiskelijalle: mm. edeltävä osaaminen

Basic understanding of
- Programming
- Web development
- GIT
- IoT concept

Arviointimenetelmät

Course evaluation consists of the weekly tasks and possibly exams.

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

01.07.2022 - 04.09.2022

Ajoitus

01.08.2022 - 31.12.2022

Opintopistemäärä

15 op

Toteutustapa

Lähiopetus

Yksikkö

Teknologia (LAB)

Toimipiste

Lappeenrannan kampus

Opetuskielet
  • Englanti
Koulutus
  • Bachelor's Degree Programme in Industrial Information Technology
Opettaja
  • Karri Miettinen
  • 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
- design and use appropriate data structures and algorithms
- create a simple GUI for IoT-system
- transfer data securely from IoT device to a cloud using platform services (programming point of view)
- use version control systems in software development
- design and evaluate ML and AI algorithms
- work as an active team member in an ICT project with modern teamwork methods and tools

Arviointiasteikko

1-5