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
-
DAKV20SPData-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.