Toteutussuunnitelma
2017
Yhteiskuntatieteiden, liiketalouden ja hallinnon ala
Laurea Leppävaara
Ylempään ammattikorkeakoulututkintoon johtava koulutus
Implementation plan
2017
Social Sciences, Business and Administration
Laurea Leppävaara
Master's degree programmes
Toteutussuunnitelma · Päätöksenteon ilmiöt johtamisessa, kehittämisessä ja asiakastyössä (HYA), Laurea yhteinen · Ryhmä HYA217SJ · Lukukausi 1/2017-2018
Analysing Qualitative Data (A9389), 5 op
Implementation plan · Päätöksenteon ilmiöt johtamisessa, kehittämisessä ja asiakastyössä (HYA), Laurea joint · Group HYA217SJ · Semester 1/2017-2018
Analysing Qualitative Data (A9389), 5 cr
Analysing Qualitative Data (A9389), 5 cr
Implementation plan (PDF), 1 page
- Implementation
- HYA21711
- Semester
- 1/2017-2018
- Dates
- 28 Aug 2017–22 Dec 2017
- Type
- ADVANCED COMPETENTES IN SERVICE INNOVATION AND DESIGN (A864)
- Group
- HYA217SJ
- Campus
- Laurea Leppävaara
- Language of instruction
- English
- Teachers
- Kaartti Virpi (Other teacher)
- Lecturers
- Otto Mäkelä
- Status
- Ready
Show text version
1/1
Implementation plan Finished
Study unit Analysing Qualitative Data (A9389), 5.0
Implementation HYA21711: 1/2017-2018 (28.08.2017 - 22.12.2017)
Type ADVANCED COMPETENTES IN SERVICE INNOVATION AND DESIGN (A864)
Groups Primary: HYA217SJ Others :
Involved in the project
Lecturers Otto Mäkelä
Number of participants Minimum: 12 Maximum: 35
Enrolment period 12.06.2017 08:00 - 20.08.2017
Main timing for implementation According to a schedule agreed by the parties
Applicabililty For exchange students: No For elective studies: Yes Open UAS student:
Yes Suitable for virtual UAS: Yes
Teachers Kaartti Virpi (Other teacher)
Campus Laurea Leppävaara
Main location for implementation
Implementation method Optima realization/student group Language: English Virtuality: 2 cr Integration of
R&D: 3 cr
Implementation class LbD based on local project or development task
Focus areas Service business
Evaluation at the latest 22.01.2018 Storing of graded material ends.: 22.12.2018
Exam days
Having completed the study unit the ● explain the principles of qualitative data analysis
student is able to ● explain the stages in the analytical process
● code and categorize qualitative data
● outline the different approaches of qualitative data analysis
Previous studies
Evaluation criteria and methods Evaluation criteria of a study unit in master studies.
Project (name) Students' own project (e.g. thesis project)Data gathered for the project can be analysed
in the study unit.
R&D methods Qualitative research methods
Other arrangements Contact sessions 7.9. at 16:30-19:30, 5.10. & 10.11. at 9:00-16:30
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