Predictive analyticsLaajuus (5 cr)
Code: DA00EK62
Credits
5 op
Teaching language
- Finnish
Objective
You understand the principles of futurology.
You understand when and how to predict the future based on existing data.
You can create mathematical models for forecasts.
You can write future-oriented reports.
Content
What different methods can be used to study the future?
How can trends be drawn from existing data to predict future values for the data?
Enrollment
08.04.2024 - 21.04.2024
Timing
02.09.2024 - 31.12.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Liiketalouden koulutusyksikkö
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
20 - 60
Degree programmes
- Degree Programme in Data Analytics
Teachers
- Atte Reijonen
- Jarkko Ansamäki
Teacher in charge
Jarkko Ansamäki
Groups
-
DAKV22SMData analytics, part-time
Objective
You understand the principles of futurology.
You understand when and how to predict the future based on existing data.
You can create mathematical models for forecasts.
You can write future-oriented reports.
Content
What different methods can be used to study the future?
How can trends be drawn from existing data to predict future values for the data?
Materials
Web materials
Teaching methods
Individual learning tracks should always be discussed with the lecturers
Employer connections
The course may have assignments made for companies or assignments agreed individually with students.
Student workload
1 cr = 27 hours work
Evaluation scale
1-5
Assessment methods and criteria
There are multiple lecturers in the course and final evaluation is based on the individual evaluations of the lecturers and the evaluation of the final project(s)
Enrollment
06.04.2023 - 21.04.2023
Timing
04.09.2023 - 31.12.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
RDI portion
2 op
Mode of delivery
Distance learning
Unit
Liiketalouden koulutusyksikkö
Campus
Ecampus
Teaching languages
- Finnish
Seats
20 - 60
Degree programmes
- Degree Programme in Data Analytics
Teachers
- Atte Reijonen
- Jarkko Ansamäki
Groups
-
DAKV21SPData-analytics, full-time studies
Objective
You understand the principles of futurology.
You understand when and how to predict the future based on existing data.
You can create mathematical models for forecasts.
You can write future-oriented reports.
Content
What different methods can be used to study the future?
How can trends be drawn from existing data to predict future values for the data?
Materials
Web materials
Teaching methods
Individual learning tracks should always be discussed with the lecturers
Employer connections
The course may have assignments made for companies or assignments agreed individually with students.
Student workload
1 cr = 27 hours work
Evaluation scale
1-5
Assessment methods and criteria
There are multiple lecturers in the course and final evaluation is based on the individual evaluations of the lecturers and the evaluation of the final project(s)