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IoT systemsLaajuus (5 cr)

Code: IT23ABC03

Credits

5 op

Objective

The goal is to learn how to program IoT-based systems on Azure

- Understand what is meant by IoT system and its components.
- Understand how to create an application that collects data and sends it to a cloud-based IoT system.
- Be able to create an application that retrieves data from an IoT storage service

Content

-Node.js
- Azure IoT

Qualifications

Full-stack project
Data management

Assessment criteria, satisfactory (1)

At least 10p/30p.

Assessment criteria, good (3)

At least 18p/30p.

Assessment criteria, excellent (5)

At least 26p/30p.

Materials

The material is available in Moodle

Enrollment

15.06.2024 - 29.09.2024

Timing

02.09.2024 - 15.12.2024

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Faculty of Technology and Seafaring

Campus

Vasa, Wolffskavägen 33

Teaching languages
  • English
Degree programmes
  • Degree Programme in Information Technology
  • Degree Programme in Information Technology
Teachers
  • Kaj Wikman
Teacher in charge

Kaj Wikman

Groups
  • ITE23D-V
    Information Technology, full time studies 2023, Vasa

Objective

The goal is to learn how to program IoT-based systems on Azure

- Understand what is meant by IoT system and its components.
- Understand how to create an application that collects data and sends it to a cloud-based IoT system.
- Be able to create an application that retrieves data from an IoT storage service

Content

-Node.js
- Azure IoT

Location and time

Autum, Vasa

Materials

The material is available in Moodle

Teaching methods

The course is based on lectures, self-study and exercises in a classroom environment. The labs are compulsory

Student workload

About 50% attendance studies and about 50% self-study.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

At least 10p/30p.

Assessment criteria, good (3)

At least 18p/30p.

Assessment criteria, excellent (5)

At least 26p/30p.

Assessment methods and criteria

Of the marks of the examination questions, you must obtain at least 33% in order to obtain a grade in the course, irrespective of the total score of the exams. 33% for pass, per exam. In total, 33% is applied for approved and linear scale.

Assessment criteria, satisfactory (1-2)

At least 10p/30p

Assessment criteria, good (3-4)

At least 18p/30p

Assessment criteria, excellent (5)

At least 26p/30p

Qualifications

Full-stack project
Data management