Research and Development Methods (5 cr)
Code: MS00BP16-3020
General information
- Enrollment
-
02.07.2024 - 13.09.2024
Registration for the implementation has ended.
- Timing
-
12.09.2024 - 31.01.2025
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual portion
- 5 cr
- RDI portion
- 4 cr
- Mode of delivery
- Distance learning
- Unit
- Engineering and Business
- Campus
- Location-independent
- Teaching languages
- English
- Seats
- 10 - 50
- Teachers
- Ulla Seppälä-Kaven
- Heidi Salokangas
- Course
- MS00BP16
Realization has 8 reservations. Total duration of reservations is 18 h 50 min.
Time | Topic | Location |
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Thu 12.09.2024 time 09:00 - 11:00 (2 h 0 min) |
Research and Development Methods MS00BP16-3020 |
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Thu 19.09.2024 time 09:00 - 11:00 (2 h 0 min) |
Research and Development Methods MS00BP16-3020 |
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Thu 10.10.2024 time 09:00 - 11:00 (2 h 0 min) |
Research and Development Methods MS00BP16-3020 |
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Thu 31.10.2024 time 09:00 - 11:00 (2 h 0 min) |
Research and Development Methods MS00BP16-3020 |
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Thu 14.11.2024 time 09:00 - 11:00 (2 h 0 min) |
Research and Development Methods MS00BP16-3020 |
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Thu 28.11.2024 time 09:00 - 11:00 (2 h 0 min) |
Research and Development Methods MS00BP16-3020 |
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Thu 05.12.2024 time 09:25 - 12:00 (2 h 35 min) |
Research and Development Methods MS00BP16-3020 |
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Fri 13.12.2024 time 13:15 - 17:30 (4 h 15 min) |
Research and Development Methods MS00BP16-3020 |
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Evaluation scale
H-5
Content scheduling
Link to 2t2 meetings https://teams.microsoft.com/l/meetup-join/19%3ameeting_OTM4NmE3YmItMGM3MS00ZTgwLTkxNzItNWRlZDMwYmNhZDZl%40thread.v2/0?context=%7b%22Tid%22%3a%22ab32bc86-12f2-4b38-b262-c5775982e241%22%2c%22Oid%22%3a%220f653916-2678-430b-95d3-80206060e1ca%22%7d
- Academic Conventions (APA7)
Quantitative methods:
- Empirical research, steps of quantitative research and research design
- Measurement, questionnaire
- Sampling, statistical description, observation matrix, frequency
- Variables of the variable,
- Graphical presentation
- Statistical inference
- Hypotheses
- Correlations between variables
- Testing of means
- Research framework, research tasks, research problems, research questions, research hypotheses
- Reporting the research findings
- Reporting the results of the study
- The evaluation part of the study in the report
Qualitative Research:
Content:
- different types of approaches and research principles
- qualitative research and analysis methods: interviews, benchmarking, questionnaires with open questions, workshops / brainstorming, content analysis with coding
- 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's thesis
Master's Thesis research plan (academic conventions) and opposing - presentations
12.9.2024 9-11 Quantitative and qualitative methods/ Salokangas, Seppälä-Kavén
19.9.2024 9-11 Quantitative and qualitative methods/ Salokangas, Seppälä-Kavén
10.10.2024 9-11 Quantitative and qualitative methods/ Salokangas, Seppälä-Kavén
31.10.2024 9-11 Quantitative and qualitative methods/ Salokangas, Seppälä-Kavén
14.11.2024 9-11 Quantitative and qualitative methods/ Salokangas, Seppälä-Kavén
28.11.2024 9-11 Quantitative and qualitative methods/ Salokangas, Seppälä-Kavén
5.12.2024 9-12 Presentations of thesis research plan Salokangas, Seppälä-Kavén
13.12.2024 13-16 Presentations of thesis research plan Salokangas, Seppälä-Kavén
Objective
After completing the course, the student is able to:
· to search and utilize scientific literature
· to identify and describe the main research and development approaches and analysis methods
· to choose and apply an appropriate methodology for his/her work
· to evaluate the validation of the research and development
· to write a scientific report
· to understand the significance of research data
Content
The emphasis on content may vary depending on implementation and field of study:
· Introduction to research including ethics
· Literature search and review
· Developing a research plan
· Research Ethics and Research Integrity
· Survey research methods
· Data analysis, statistical methods
· Research presentation
Materials
Academic Conventions:
Different writing-related online resources as an example: Academic Phrases for Writing Results & Discussion Sections of a Research Paper. (n.d.). https://www.ref-n-write.com/blog/research-paper-example-writing-results-discussion-section-academic-phrasebank-vocabulary/ (retrieved on 21APR2021)
APA Style. (n.d.). Https://Apastyle.Apa.Org. Retrieved May 29, 2024, from https://apastyle.apa.org
Quantitative methods:
Burke, S.E., & Silvestrini, R.T. (2017). The Certified Quality Engineer Handbook. ASQ Quality Press. Milwaukee, Wisconsin.
Herzog, M.H., Francis, G., & Clarke, A. (2019). Understanding Statistics and Experimental Design - How to Not Lie with Statistics. Springer Open. https://doi.org/10.1007/978-3-030-03499-3
Kronthaler, F., & Zöllner, S. (2021). Data Analysis with RStudio - An Easy going Introduction. Springer Spectrum and R Studio. https://doi.org/10.1007/978-3-662-62518-7
Scientific articles
Qualitative research methods:
Auerbach, C., & Silverstein, L.B. (2003). Qualitative Data: An Introduction to Coding and Analysis. New York University Press.
Dey, I. (2005). Qualitative Data Analysis: a user-friendly guide for social scientists. Taylor & Francis.
Eriksson, P., & Kovalainen, A. (2008). Qualitative Methods in Business Research. SAGE Publications.
Klenke, K., Martin, S., & Wallace, J.R. (2016). Qualitative Research in the Study of Leadership. (Second Edition). Emerald.
And other materials provided on itsLearning.
Teaching methods
- Individual and team work
- Exercises
- Self- and peer-assessments
- Discussions
- Presentations
Exam schedules
None.
International connections
Study Groups, Project-based learning
Individual and group assignments
When considering the thesis topic and the content of it, sustainability issues are reminded
Completion alternatives
If necessary, this can be arranged during the IPS discussion or by agreement with the course teacher.
Student workload
Face-to-face lectures (16 h)
Individual learning task: video lectures for qualitative, and quantitative research and development methods and online tests related to lectures on Itslearning 36 h
Task-related to your thesis plan 56 h:
- Individual learning task: reading task
-Individual learning task: preliminary assignments for each class (related to your research topic)
-Individual learning task: homework assignments after each class (related to your research topic)
- Individual learning task: research plan and presentation of the research (related to your research topic)
- Individual learning task: opposing and opposing reports of fellow students
Group project task: Delphi study: 27 h
Total 135 h
The workload indicates the average workload required to achieve the course's learning objectives and the grade 3/5. Depending on the student's previous knowledge and experience, the workload may be less or more. The competence acquired in the course will be assessed through assignments and other deliverables, not through the number of hours worked.
Further information
ItsLearning
heidi.salokangas@turkuamk.fi