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Data analysis and visualisation (5 cr)

Code: TK00BK57-3005

General information


Enrollment

14.12.2020 - 14.01.2021

Timing

22.03.2021 - 30.05.2021

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Campus

Mikkeli Campus

Teaching languages

  • Finnish

Degree programmes

  • Degree Programme in Business Information Technology

Teachers

  • Jari Kortelainen
  • Ulla Korvenpää

Teacher in charge

Jari Kortelainen

Groups

  • TKMI19SV
    Business Information Technology, online studies

Objective

You are able to analyse and visualise the properties of objects in big data.
You are able to analyse and visualise relationships between objects in big data in different ways.
You can report your thesis and other studies or research in writing.

Content

What is meant by big data?
How can the properties of objects be analysed and visualised?
How can the relationships between objects be analysed and visualised?
How do you report your study or research process and the results?

Teaching methods

Scheduled track:
To be settled at the course kick off.
Independent track:
You can show your competence e.g. by a certificate. To be settled at the course kick off.

Exam schedules

To be settled later on.

Student workload

135 h

Evaluation scale

1-5

Assessment methods and criteria

To be settled at the course kick off.

Qualifications

Discrete mathematics 2 or equivalent knowledge