Data Analysis 1 (5 cr)
Code: 3100BM79-3001
General information
- Enrollment
- 31.05.2019 - 31.10.2019
- Registration for the implementation has ended.
- Timing
- 01.11.2019 - 30.12.2019
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual portion
- 5 cr
- RDI portion
- 3 cr
- Mode of delivery
- Distance learning
- Campus
- Kupittaa Campus
- Teaching languages
- English
- Seats
- 25 - 35
- Degree programmes
- Master of Business Administration, Business Management
Evaluation scale
H-5
Content scheduling
1.11.-30.12.2019 Online course
5.11.2019 Start - a Skype meeting 16.00-18.00
Implementation of different methods in collecting reliable material for the research assignment
planning and conducting an analysis of qualitative material so that the report reliably responds to the research problem.
Qualitative material processing as transcription, coding, analysis as inductive, theory-based or deductive content analysis, interpretation according to applicable research traditions.
Objective
After completing the course, the students can
- collect, with different methods, text materials with which the research assignment can be resolved reliably
- plan and conduct an analysis of qualitative materials as well as report the research carried out so that the report reliably responds to the research problem
Content
Contents:
- methods for obtaining qualitative research material
- basic information and skills in fact-oriented qualitative material processing (transcription, coding), analysis (inductive, theory-based or deductive content analysis) and interpretation according to applicable research traditions
- reporting of qualitative research
Materials
Relevant literature
Some examples:
Eriksson, P. & Kovalainen, A. 2008.Qualitative Methods in Business Research. London: SAGE Publications Ltd.
Stickdorn, M., Hormess, M.E. & Lawrence, A. 2018. This Is Service Design Doing: Applying Service Design Thinking in the Real World. USA: O’Reilly Media.
Teaching methods
Virtual learning: Optima and Web
Pedagogic approaches and sustainable development
Teamwork
Self and peer assessments
Student workload
Exercises: different research and analysis methods and tools
Service Design and Content Analysis in practice
Failed (0)
No participation, no returned tasks.
Assessment criteria, satisfactory (1-2)
Student understands partly the certain rules concerning the principles of research work and implementing of different qualitative research methods.
Returned tasks.
Assessment criteria, good (3-4)
Student understands and is capable to follow the principles of research work and implementing of different qualitative research methods.
The tasks have been returned on time and they show the learning outcome.
Assessment criteria, excellent (5)
Student is capable to follow the principles of research work and implement different qualitative research methods.
All the tasks have been returned on time and they show excellent learning outcome.