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Predictive analytics (5 cr)

Code: DA00EK62-3002

General information


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

Department of Business

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

  • DAKV22SM
    Data analytics, part-time
  • 13.09.2024 12:50 - 14:20, Ennakointi DA00EK62-3002
  • 11.10.2024 12:50 - 14:20, Ennakointi DA00EK62-3002
  • 08.11.2024 12:50 - 14:20, Ennakointi DA00EK62-3002
  • 29.11.2024 09:00 - 10:30, Ennakointi DA00EK62-3002
  • 29.11.2024 10:40 - 12:10, Ennakointi DA00EK62-3002

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)