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
Liiketalouden koulutusyksikkö
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
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?
Materials
Web materials
Teaching methods
Individual learning tracks should always be discussed with the lecturers
Employer connections
The course may have assignments made for companies or assignments agreed individually with students.
Student workload
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.