Data analysis and visualisation (5 cr)
Code: TK00BK57-3004
General information
- Enrollment
-
16.12.2019 - 10.01.2020
Registration for the implementation has ended.
- Timing
-
23.03.2020 - 31.05.2020
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual portion
- 5 cr
- Mode of delivery
- Distance learning
- Unit
- Department of Information Technology
- 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
-
TKMI18SMBusiness Information Technology, part-time studies
- Course
- TK00BK57
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?
Study forms and 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.
Timing of exams and assignments
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