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Research and Development MethodsLaajuus (5 cr)

Code: MS00BP16

Credits

5 op

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

Enrollment

02.12.2024 - 19.01.2025

Timing

27.01.2025 - 13.04.2025

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Campus

Kupittaa Campus

Teaching languages
  • Finnish
  • English
Seats

10 - 40

Teachers
  • Juha Nikkanen
  • Sirpa Erkkilä-Häkkinen
Groups
  • YKYBTK25
  • YKYBIK25

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

Further information

More information about the course can be obtained from Sirpa Erkkilä-Häkkinen, sirpa.erkkila-hakkinen@turkuamk.fi. Education is in Finnish.

Evaluation scale

H-5

Enrollment

02.07.2024 - 13.09.2024

Timing

12.09.2024 - 31.01.2025

Number of ECTS credits allocated

5 op

Virtual portion

5 op

RDI portion

4 op

Mode of delivery

Distance learning

Unit

Engineering and Business

Campus

Location-independent

Teaching languages
  • English
Seats

10 - 50

Teachers
  • Ulla Seppälä-Kaven
  • Heidi Salokangas
Groups
  • YQMES24V
  • YQMBS24V
  • YINTES24
  • YINTBS24

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.

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

Further information

ItsLearning
heidi.salokangas@turkuamk.fi

Evaluation scale

H-5

Assessment methods and criteria

Video lecture tests (passed/failed)
Preliminary and home assignments (passed/failed)
Delfoi-group study (passed/failed)
Opposing and opposing report (1-5)
Own research plan (1-5)

In addition to the knowledge base, the assessment of reporting will focus on the knowledge of academic conventions (such as writing style and tone, text structure, correct citation technique including in-text citations and bibliography), and depth of coverage.

Returning assignments after the deadline (late) may negatively impact the grade of the assignment.

Assessment criteria, fail (0)

Assignments are not completed to an acceptable level and or not returned assignments - instructions have not been followed

Assessment criteria, satisfactory (1-2)

Communication and reflection are acceptable - assignments are partly done according to the instructions.

Assessment criteria, good (3-4)

Communication and reflection are good - assignments are done according to the instructions.

Assessment criteria, excellent (5)

Outstanding communication, reflection and application - assignments are done according to the instructions and returned on time -by the deadline.

Enrollment

02.07.2024 - 15.09.2024

Timing

24.09.2024 - 30.11.2024

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Engineering and Business

Teaching languages
  • Finnish
  • English
Teachers
  • Tanja Vienonen
  • Sirpa Erkkilä-Häkkinen
Groups
  • YRAKES24

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

Further information

More information about the course can be obtained from Sirpa Erkkilä-Häkkinen, sirpa.erkkila-hakkinen@turkuamk.fi. Education is in Finnish.

Evaluation scale

H-5

Enrollment

02.07.2024 - 30.09.2024

Timing

23.09.2024 - 30.11.2024

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Engineering and Business

Teaching languages
  • Finnish
  • English
Teachers
  • Henri Aho
  • Sirpa Erkkilä-Häkkinen
Groups
  • YKEKIS24
  • YKEKTS24

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

Further information

More information about the course can be obtained from Sirpa Erkkilä-Häkkinen, sirpa.erkkila-hakkinen@turkuamk.fi. Education is in Finnish.

Evaluation scale

H-5

Enrollment

02.07.2024 - 18.09.2024

Timing

18.09.2024 - 30.11.2024

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Unit

Engineering and Business

Teaching languages
  • Finnish
  • English
Teachers
  • Tanja Vienonen
  • Sirpa Erkkilä-Häkkinen
Groups
  • YTERIS24
  • YTERTS24
    Master of Business Administration, Health Technology

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

Further information

More information about the course can be obtained from Sirpa Erkkilä-Häkkinen, sirpa.erkkila-hakkinen@turkuamk.fi. Education is in Finnish.

Evaluation scale

H-5

Enrollment

02.07.2024 - 16.09.2024

Timing

16.09.2024 - 30.11.2024

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Engineering and Business

Teaching languages
  • Finnish
  • English
Teachers
  • Tanja Vienonen
  • Sirpa Erkkilä-Häkkinen
Groups
  • YDATIS24
  • YDATTS24

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

Further information

More information about the course can be obtained from Sirpa Erkkilä-Häkkinen, sirpa.erkkila-hakkinen@turkuamk.fi. Education is in Finnish.

Evaluation scale

H-5

Enrollment

02.12.2023 - 24.01.2024

Timing

10.01.2024 - 01.06.2024

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Engineering and Business

Teaching languages
  • Finnish
  • English
Teachers
  • Timo Tolmunen
  • Sirpa Erkkilä-Häkkinen
Groups
  • YKYBIK23
  • YKYBTK23
  • VAVY2324

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

Evaluation scale

H-5

Enrollment

02.07.2023 - 25.09.2023

Timing

23.09.2023 - 31.12.2023

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Engineering and Business

Teaching languages
  • Finnish
Teachers
  • Timo Tolmunen
  • Sirpa Erkkilä-Häkkinen
Groups
  • YKEKIS23
  • YKEKTS23

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

Evaluation scale

H-5

Enrollment

15.05.2023 - 14.09.2023

Timing

24.08.2023 - 31.01.2024

Number of ECTS credits allocated

5 op

Virtual portion

5 op

RDI portion

5 op

Mode of delivery

Distance learning

Unit

Engineering and Business

Campus

Location-independent

Teaching languages
  • English
Seats

15 - 30

Degree programmes
  • Master of Engineering, Industrial Quality Management
Teachers
  • Ulla Seppälä-Kaven
  • Heidi Salokangas
Groups
  • YIQMS23V

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)


Ouantitative methods:

Michael H. Herzog, Gregory Francis, Aaron Clarke. Understanding Statistics and Experimental Design - How to Not Lie with Statistics. Springer Open. 2019 ISBN 978-3-030-03498-6 ISBN 978-3-030-03499-3 (eBook) https://doi.org/10.1007/978-3-030-03499-3

Sarah E. Burke and Rachel T. Silvestrini. The Certified Quality Engineer Handbook. ASQ Quality Press Milwaukee, Wisconsin 2017
Franz Kronthaler, Silke Zöllner. Data Analysis with RStudio - An Easy going Introduction. Springer Spectrum and R Studio. 2021 ISBN 978-3-662-62517-0 ISBN 978-3-662-62518-7 (eBook) https://doi.org/10.1007/978-3-662-62518-7.

Understanding Statistics and Experimental Design

This open access textbook teaches essential principles that can help all readers generate statistics and correctly interpret the data. It offers a valuable guide for students of bioengineering, bio...

Scientific articles

Qualitative research methods:

Eriksson, P. & Kovalainen, A. 2008.Qualitative Methods in Business Research. London: SAGE Publications Ltd.

Klenke, K., Martin, S. and Wallace, J.R. 2016. Qualitative Research in the Study of Leadership: Second Edition. Bingley: Emerald.

Auerbach, C. & Silverstein, L.B. 2003. Qualitative Data : An Introduction to Coding and Analysis. New York: New York Univesity Press. ProQuest Ebook Central.

Dey, I. 2005. Qualitative Data Analysis: a user-friendly guide for social scientists. London: Taylor & Francis.

Teaching methods

Quantitative methods:
- Individual and team work
- Exercises
- Presentations

Qualitative research methods:
- individual and group work
- self- and peer-assessments
- discussions
- presentations

Exam schedules

None.

International connections

Study Groups

Quantitative methods:
- Individual and group assignments

Qualitative research methods:
- Individual and group assignments

Completion alternatives

None.

Student workload

Quantitative methods:
5 x 2 h online meetings + independent work and exercises

Qualitative research methods:
2 x 2 h online meetings + independent work individually and in groups
research and analysis methods and tools - exercises

2 x 3 h presentations of thesis plans and acting as opponents

Content scheduling

- 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
29.8.2023 9-11 Quantitative methods/ Salokangas
31.8.2023 8-10 Quantitative methods/ Salokangas
11.9.2023 8-10 Quantitative methods/ Salokangas
25.9.2023 8-10 Quantitative methods /Salokangas
9.10.2023 8-10 Quantitative methods/ Salokangas
24.10.2023 8-10 Quantitative methods / Salokangas
7.11.2023 8-11 Qualitative Research / Seppälä-Kavén
21.11.2023 8-11 Qualitative Research /Seppälä-Kavén
5.12.2023 8-11 Presentations of thesis research plan Salokangas, Seppälä-Kavén
12.12.2023 8-11 Presentations of thesis research plan Salokangas, Seppälä-Kavén

Further information

ItsLearning

Evaluation scale

H-5

Assessment criteria, fail (0)

Quantity: Assignments are not completed to an acceptable level and or not returned assignments - instructions have not been followed

- Quality: The minimum learning objectives are not met

Assessment criteria, satisfactory (1-2)

Communication and reflection are acceptable - assignments partly done according to the instructions.

Assessment criteria, good (3-4)

Communication and reflection are good - assignments done according to the instructions.

Assessment criteria, excellent (5)

Outstanding communication, reflection and application - assignments done according to the instructions and returned on time -by the deadline.

Enrollment

02.07.2023 - 27.09.2023

Timing

01.08.2023 - 31.12.2023

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Engineering and Business

Teaching languages
  • Finnish
Teachers
  • Timo Tolmunen
  • Sirpa Erkkilä-Häkkinen
Groups
  • YRAKES23
  • YTERIS23

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

Evaluation scale

H-5

Enrollment

02.07.2023 - 11.09.2023

Timing

01.08.2023 - 31.12.2023

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Engineering and Business

Teaching languages
  • Finnish
  • English
Teachers
  • Timo Tolmunen
  • Sirpa Erkkilä-Häkkinen
Groups
  • YDATIS23
  • YDATTS23

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

Evaluation scale

H-5

Enrollment

02.12.2022 - 30.01.2023

Timing

16.01.2023 - 31.05.2023

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Engineering and Business

Teaching languages
  • Finnish
Teachers
  • Timo Tolmunen
  • Sirpa Erkkilä-Häkkinen
Groups
  • YKYBIK23
  • YKYBTK23

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

Evaluation scale

H-5

Enrollment

02.12.2022 - 09.01.2023

Timing

09.01.2023 - 31.05.2023

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Engineering and Business

Teaching languages
  • Finnish
Teachers
  • Timo Tolmunen
  • Sirpa Erkkilä-Häkkinen
Groups
  • YKONEK23
  • YHAETS22

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

Evaluation scale

H-5

Enrollment

02.07.2022 - 19.09.2022

Timing

27.09.2022 - 31.12.2022

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Engineering and Business

Teaching languages
  • Finnish
Teachers
  • Timo Tolmunen
  • Sirpa Erkkilä-Häkkinen
Groups
  • YRAKES22
  • YTERIS22

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

Evaluation scale

H-5

Enrollment

30.04.2022 - 04.09.2022

Timing

06.09.2022 - 31.12.2022

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Engineering and Business

Teaching languages
  • Finnish
Teachers
  • Timo Tolmunen
  • Sirpa Erkkilä-Häkkinen
Groups
  • YICTIK22
  • YKOMEK22
  • YICTTK22

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

Evaluation scale

H-5

Enrollment

02.12.2021 - 03.01.2022

Timing

11.01.2022 - 31.05.2022

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Engineering and Business

Teaching languages
  • Finnish
Teachers
  • Timo Tolmunen
  • Sirpa Erkkilä-Häkkinen
Groups
  • YKEBIS21

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

Evaluation scale

H-5