Research and Development (5 cr)
Code: 2051178-3002
General information
Enrollment
30.08.2019 - 29.09.2019
Timing
01.08.2019 - 31.12.2019
Number of ECTS credits allocated
5 op
Virtual portion
4 op
RDI portion
3 op
Mode of delivery
20 % Contact teaching, 80 % Distance learning
Unit
Engineering and Business
Campus
Sepänkatu
Teaching languages
- English
Seats
30 - 40
Degree programmes
- Master of Leadership and Service Design
Teachers
- Ulla Seppälä-Kaven
Teacher in charge
Ulla Seppälä-Kaven
Groups
-
YDESAS19
Objective
* masters the design and business research methods and is able to independently carry out research and development projects and a Master's Thesis
* is able to self-evaluate one's competencies and expertise in a versatile and systematic way and to define one's development and learning needs
* developes analytical and integration skills useful in resolving complex problems that require a holistic perspective
Content
Content:
- different types of approaches
- research principles
- business research methods
- design research methods
- service design research methods
- research and development planning
- data collection - quantitative and or qualitative, mixed; data analysis
- quality issues and ethics in the research.
- literature search, evaluation and use of the appropriate research methods for projects and master thesis
Location and time
September - December 2018
Novia University of Applied Sciences
Henrikinkatu 7, Turku
12.10. 8-12 Ydesas 18: Research and Development
13.10. 8-12 Ydesas 18: Research and Development
26.10 12-16 Ydesas 18: Research and Development
27.10. 8-12 Ydesas 18: Research and Development. Maria Engberg
27.10. 12-16 Ydesas 18: Research and Development
16.11.12-16 Ydesas 18: Research and Development / Master’s Thesis Seminars
17.11. 12-16 Ydesas 18: Research and Development / Master’s Thesis Seminars
14.12.12-16 Ydesas 18: Research and Development, Katarina Sandström
15.12. 8-12 Ydesas 18: Research and Development Maria Engberg
15.12.8-12 Ydesas 18: Research and Development
Materials
Relevant literature: books, articles - own choice
Eriksson, P. & Kovalainen, A. 2008.Qualitative Methods in Business Research. London: SAGE Publications Ltd.
Teaching methods
Individual and group work, peer assessments,
- acquaintance of relevant methods:
scientific publications, interviews, observations, netetnography, shadowing...
- possible collaboration with organizations and companies – new or ongoing throughout the studies: design tasks and research reports
- planning of the upcoming thesis
Exam schedules
Tasks instead of exams
International connections
Individual and group / team work, individual and peer assessments
- individual and group tasks
- discussions
- presentations
Student workload
Qualitative research:
Service Design and Content Analysis: research and analysis methods and tools
Selected presentations during the contact lessons
Thesis ideation: a draft and 2 opposing reports.
Academic writing: draft
Quantitative statistics and research: Analysis methods
Content scheduling
Research methods:
Qualitative and quantitative methods
Academic English
Preparation for the Master’s thesis / Seminars:
Implementation plan:
Content:
- different types of approaches
- research principles
- different research methods
- research and development planning
- data collection - quantitative and or qualitative, mixed; data analysis
- quality issues and ethics in the research, data management, IPR and GDPR
- literature search, evaluation and use of the appropriate research methods for projects and master thesis
Evaluation scale
H-5
Assessment methods and criteria
Evaluation of the tasks and participating activity
Individual and peer assessments
Assessment criteria, fail (0)
No participating to the contact lessons, no returned tasks
Assessment criteria, satisfactory (1-2)
Participating to the contact lessons, returned tasks
Assessment criteria, good (3-4)
Active participating to the contact lessons, returned tasks with good outcomes
Assessment criteria, excellent (5)
Very active participating to the contact lessons, returned tasks with excellent outcomes