Law in data analyticsLaajuus (5 cr)
Code: DA00DG81
Credits
5 op
Teaching language
- Finnish
Responsible person
- Päivi Ollila
- Yrjö Tyni
Objective
You are able to list company forms and explain their main differences regarding e.g decision-making, liability and profit distribution.
You are able to describe how a binding contract is made, what makes a contract invalid and the consequences of infringements.
You are able to describe the right to collect and give out personal data and obligations to protect it
You are able to describe how the results of creative works are protected by copyright and how to avoid copyright infringements.
Content
Company law basics.
Contract law basics.
Data protection.
Copyright.
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 31.05.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Liiketalouden koulutusyksikkö
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
20 - 60
Degree programmes
- Degree Programme in Business Data Analytics and Visualisation
Teachers
- Sampo Järvinen
Teacher in charge
Sampo Järvinen
Groups
-
DAKV22SMData analytics, part-time
Objective
You are able to list company forms and explain their main differences regarding e.g decision-making, liability and profit distribution.
You are able to describe how a binding contract is made, what makes a contract invalid and the consequences of infringements.
You are able to describe the right to collect and give out personal data and obligations to protect it
You are able to describe how the results of creative works are protected by copyright and how to avoid copyright infringements.
Content
Company law basics.
Contract law basics.
Data protection.
Copyright.
Evaluation scale
1-5
Enrollment
07.11.2022 - 18.11.2022
Timing
10.01.2023 - 01.05.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Liiketalouden koulutusyksikkö
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
20 - 60
Degree programmes
- Degree Programme in Business Data Analytics and Visualisation
Teachers
- Sampo Järvinen
Teacher in charge
Sampo Järvinen
Groups
-
DAKV21SPData-analytics, full-time studies
Objective
You are able to list company forms and explain their main differences regarding e.g decision-making, liability and profit distribution.
You are able to describe how a binding contract is made, what makes a contract invalid and the consequences of infringements.
You are able to describe the right to collect and give out personal data and obligations to protect it
You are able to describe how the results of creative works are protected by copyright and how to avoid copyright infringements.
Content
Company law basics.
Contract law basics.
Data protection.
Copyright.
Materials
Will be announced at the beginning of the course
Teaching methods
Discussion with the lecturer needed
Employer connections
The course may have assignments made for companies or assignments agreed individually with students.
Student workload
1 cr = 27 hours work for the student
Evaluation scale
1-5
Assessment methods and criteria
Will be announced at the beginning of the course
Enrollment
08.11.2021 - 21.11.2021
Timing
01.01.2022 - 01.05.2022
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
15 - 40
Degree programmes
- Degree Programme in Business Data Analytics and Visualisation
Teachers
- Jussi Seppänen
Groups
-
DAKV20SP
Objective
You are able to list company forms and explain their main differences regarding e.g decision-making, liability and profit distribution.
You are able to describe how a binding contract is made, what makes a contract invalid and the consequences of infringements.
You are able to describe the right to collect and give out personal data and obligations to protect it
You are able to describe how the results of creative works are protected by copyright and how to avoid copyright infringements.
Content
Company law basics.
Contract law basics.
Data protection.
Copyright.
Materials
Will be announced at the beginning of the course
Teaching methods
Discussion with the lecturer needed
Employer connections
The course may have assignments made for companies or assignments agreed individually with students.
Student workload
1 cr = 27 hours work for the student
Evaluation scale
1-5
Assessment methods and criteria
Will be announced at the beginning of the course