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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
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 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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