Nursing Research and Development III
Structure Type: | Study unit |
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Code: | SSHP2006 |
Curriculum: | SH 2020 / 2020K |
Level: | Bachelor of Nursing |
Year of Study: | 3 (2022-2023 / 2023) |
Credits: | 3 cr |
Responsible Teacher: | Välimaa, Virpi |
Language of Instruction: | Finnish |
Courses During the Academic Year 2022-2023
Impl. | Group(s) | Study Time | Teacher(s) | Language | Enrolment |
---|---|---|---|---|---|
3007 | SH2020-3A | 2022-08-22 – 2022-12-31 | Anne Puska | Finnish | 2022-08-01 – 2022-09-06 |
3008 | SH2020-3B | 2022-08-22 – 2022-12-31 | Anne Puska | Finnish | 2022-08-01 – 2022-09-06 |
3009 | SH2020-3C | 2022-08-22 – 2022-12-31 | Anne Puska | Finnish | 2022-08-01 – 2022-09-06 |
3010 | SH2020-23CK | 2023-01-01 – 2023-07-31 | Anne Puska | Finnish | 2022-12-01 – 2023-01-10 |
3011 | SH2020-23DK | 2023-01-01 – 2023-07-31 | Anne Puska | Finnish | 2022-12-01 – 2023-01-10 |
Learning Outcomes
Research methods: The sudent is able to participate as a group member in research processed and is able to apply the most usual statistical analysis methods.
Research Communiation: The student is familiar with the principles of research communication and is able to apply them. The student learns the principles of writing the bachelor’s thesis.
Student's Workload
Total workload of the course: 81 h
- of which scheduled studies 33 h (Statistical analysis methods 22 hours, Research Communication 11 hours)
- of which autonomous studies 48 h (Statistical analysis methods 32 hours, Research Communication 16 hours)
Prerequisites / Recommended Optional Courses
Nursing Research and Development I
Contents
Research methods: Statistical analysis methods (2 cr)
Research Communication (1 cr): Principles of research communication. Writing a bachelor’s thesis.
Regional Impact
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Internationality
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Recommended or Required Reading and Other Learning Resources/Tools
Materials pointed out by the teachers.
Mode of Delivery / Planned Learning Activities and Teaching Methods
Lectures, practices.
Assessment Criteria
Level 5
The student is able to
- describe the central methods of statistical analyses and apply them
- write academic text and owns excellent competencies in writing the thesis
Level 3
The student is able to
- describe methods of statistical analyses and do some applications
- write academic text and owns good competencies in writing the thesis
Level 1
The student is able to
- mention some methods of statistical analyses and do some applications with guidance by the teacher
- mention basic principles of academic writing and gets competencies in writing the thesis
Assessment Methods
Tests 100 %
Work Placement
-
Further Information
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