Data analysis 4 (5 cr)
Code: DA00DG99-3003
General information
- Enrollment
-
06.04.2022 - 22.04.2022
Registration for the implementation has ended.
- Timing
-
01.08.2022 - 31.12.2022
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- 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
- Course
- DA00DG99
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?
Course material
Web materials
Study forms and methods
Individual learning tracks should always be discussed with the lecturers
RDI and work-related cooperation
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.