IoT Cloud Platforms, Analytics and ApplicationsLaajuus (5 cr)
Code: 4_EFS8090
Credits
5 op
Learning objectives
Student is able to select most suitable IoT platform for use. Student knows characteristics, limitations and cost of the usage of most common platforms. Student can install and operate the selected platform to be used in the selected way.
Student knows the methods of cloud analysis and artificial learning principles and select the best tool for different usages in Industrial Internet and Digital Health sphere. Student is able to carry out analysis and decision making with the selected tool.
Content
The most usual cloud platforms and analysis tools for IoT analysis and decision making.
Materials
Course material from the teacher. Part of the material is e-learning material.
Enrollment
01.08.2024 - 15.09.2024
Timing
01.09.2024 - 31.12.2024
Credits
5 op
Mode of delivery
Contact teaching
Teaching languages
- English
Degree programmes
- Degree Programme in Internet of Things
Teachers
- Teemu Matilainen
Student groups
-
EF21SPBachelor Degree Programme in Information Technology IOT
Materials
Course material from the teacher. Part of the material is e-learning material.
Enrollment
01.08.2023 - 15.09.2023
Timing
04.09.2023 - 20.12.2023
Credits
5 op
Mode of delivery
Contact teaching
Teaching languages
- English
Degree programmes
- Degree Programme in Information Technology
Teachers
- Rajeev Kanth
- Teemu Matilainen
Student groups
-
EF20SPBachelor Degree Programme in Information Technology IOT
Teaching methods
Describes
- learning methods and other pedagogical solutions
Lessons, exercises, tasks
- primary completion method
Exam
- assessment
0...5
- course schedule information, if needed
- other relevant information for the student.
Student workload
Lessons 28h, exersices 28 h, inpendent work 79 h
Materials
Learning material is in the Moodle.