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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

  • DAKV21SP
    Data-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)