Takaisin: ryhmä HYA216SJ

Analysing Qualitative Data (A9389), 5 op

Toteutussuunnitelma (PDF), 1 sivu

Toteutus
HYA21611
Lukukausi
1/2016-2017
Ajankohta
29.8.2016–16.12.2016
Tyyppi
ADVANCED COMPETENTES IN SERVICE INNOVATION AND DESIGN (A864)
Ryhmä
HYA216SJ
Kampus
Laurea Leppävaara
Opetuskieli
englanti
Opettajat
Kaartti Virpi (Other teacher)
Luennoitsijat
Otto Mäkelä
Tila
Valmis
Näytä tekstiversio
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Implementation plan Finished



 Study unit                            Analysing Qualitative Data (A9389), 5.0
 Implementation                        HYA21611: 1/2016-2017 (29.08.2016 - 16.12.2016)
 Type                                  ADVANCED COMPETENTES IN SERVICE INNOVATION AND DESIGN (A864)
 Groups                                Primary: HYA216SJ Others :
 Involved in the project
 Lecturers                             Otto Mäkelä
 Number of participants                Minimum: 12 Maximum: 35
 Enrolment period                      16.05.2016 08:00 - 21.08.2016
 Main timing for implementation        According to a schedule agreed by the parties
 Applicabililty                        For exchange students: No For elective studies: Yes Open UAS student:
                                       No Suitable for virtual UAS: No

 Teachers                              Kaartti Virpi (Other teacher)
 Campus                                Laurea Leppävaara
 Main location for implementation
 Implementation method                 Optima realization/student group Language: English Virtuality: 1 cr Integration of
                                       R&D: 4 cr
 Implementation class                  LbD based on local project or development task
 Focus areas                           Service business
 Evaluation at the latest              16.01.2017 Storing of graded material ends.: 16.12.2017
 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
 Contents
 Evaluation criteria and methods       Evaluation criteria of a study unit in master studies
 Other arrangements                    Contact days 2.9. at 16.30-19.30, 8.10. & 11.11.2016 at 9-16.30




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