Data Analytics in Electrical Energy Systems(Master)Laajuus (5 cr)
Code: YE00BU38
Credits
5 op
Teaching language
- Finnish
Responsible person
- Mikko Pääkkönen
Learning objectives
The aim is to learn the devices used in measuring electrical networks, measuring network structure and architecture. Students will learn how different data-analysis are done for the collected data and how artificial intelligense and machine learning is applied.
Content
- Measurement systems of electrical networks.
- Datacollecting and handling systems
- The analysing technologies
- Applying machine learning to the collected data
- Applying Artificial Intelligense with the data-analysis results
Materials
Learning matrerial is in the Moodle.
Qualifications
Electrical engineering studies at bachelor UAS-level.
Assessment criteria, satisfactory (1)
1: The student masters the basic concepts of the course.
2: The student knows approximately half of the course content, and can
solve simple problems related to the course content.
Assessment methods: Online assignments, exercises and
presentations
Assessment criteria, good (3)
solve simple problems related to the course content.
3: The student can solve moderately challenging problems related to the course content
related problems and masters the course concepts.
4: The student knows the main features of the material studied in the course.
Assessment methods: Online assignments, exercises and
presentations
Assessment criteria, excellent (5)
5: The student knows the material taught in the course excellently
level.
Assessment methods: Online assignments, exercises and
presentations