Predictive analytics (5 cr)
Code: DA00EK62-3001
General information
- Enrollment
-
06.04.2023 - 21.04.2023
Registration for the implementation has ended.
- Timing
-
04.09.2023 - 31.12.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual portion
- 5 cr
- RDI portion
- 2 cr
- 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
- Course
- DA00EK62
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?
Course material
Web materials
Study forms and methods
Individual learning tracks should always be discussed with the lecturers
RDI and work-related cooperation
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)