Predictive analytics (5 cr)

Code: DA00EK62-3003

General information

Enrollment: 07.04.2025 - 21.04.2025
Registration for the implementation has begun.

Timing: 01.09.2025 - 31.12.2025
The implementation has not yet started.

Number of ECTS credits allocated: 5 cr

Local portion: 0 cr

Virtual portion: 5 cr

Unit: Department of Business

Campus: Ecampus

Teaching languages: Finnish

Seats: 20 - 60

Degree programmes: Degree Programme in Data Analytics

Teachers: Atte Reijonen; Jarkko Ansamäki

Teacher in charge: Jarkko Ansamäki

Groups: DAKV23SV
Data analytics, online studies

Course: DA00EK62

Realization has 3 reservations. Total duration of reservations is 4 h 30 min.

Time	Topic	Location
Fri 12.09.2025 time 12:50 - 14:20 (1 h 30 min)	Ennakointi DA00EK62-3003	Etäopetus lukujärjestyksen mukaan
Fri 17.10.2025 time 12:50 - 14:20 (1 h 30 min)	Ennakointi DA00EK62-3003	Etäopetus lukujärjestyksen mukaan
Fri 14.11.2025 time 12:50 - 14:20 (1 h 30 min)	Ennakointi DA00EK62-3003	Etäopetus lukujärjestyksen mukaan

Changes to reservations may be possible.

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.

Timing of exams and assignments

International cooperation

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)