Predictive analytics (5 cr)
Code: DA00EK62-3001
General information
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
Department of Business
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
- 04.12.2023 12:30 - 16:00, Ennakointi DA00EK62-3001
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?
Opiskelumateriaali
Web materials
Yksilölliset oppimisväylät
Individual learning tracks should always be discussed with the lecturers
TKI ja työelämäyhteistyö
The course may have assignments made for companies or assignments agreed individually with students.
Opiskelijan työmäärä
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)