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Data analysis 4 (5 cr)

Code: DA00DG99-3003

General information


Enrollment

06.04.2022 - 22.04.2022

Timing

01.08.2022 - 31.12.2022

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Department of Business

Campus

Kouvola Campus

Teaching languages

  • Finnish

Seats

15 - 40

Degree programmes

  • Degree Programme in Business Data Analytics and Visualisation

Teachers

  • Atte Reijonen
  • Väinö Toots
  • Jarkko Ansamäki

Groups

  • DAKV20SP
    Data-analytiikka, päivätoteutus

Objective

You can use open data and big data.
You can apply robotics and artificial intelligence in business.
You know futurology methods and their applications.
You can carry out a large project using many methods.

Content

How to use open data and big data in business?
How can robotics and AI help and boost business?
How can you predict future and be prepared for it?
How to carry out a large project using many different methods?

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)

Qualifications

the courses of Data acquisition 1, Data analysis 1, Visualisation and communication 1.
the courses of Data acquisition 2, Data analysis 2, Visualisation and communication 2.
the courses of Data acquisition 3, Data analysis 3, Visualisation and communication 3.