Degree Project 3 (6 cr)
Code: VÅV21EX03-3002
General information
Enrollment
01.12.2023 - 31.12.2023
Timing
01.01.2024 - 31.12.2024
Number of ECTS credits allocated
6 op
Virtual portion
2 op
RDI portion
6 op
Mode of delivery
67 % Contact teaching, 33 % Distance learning
Unit
Faculty of Health and Welfare
Teaching languages
- Svenska
Seats
10 - 30
Degree programmes
- Degree Programme in Nursing
- Degree Programme in Public Health Nursing
- Degree Programme in Midwifery
Teachers
- Anna-Lena Nieminen
- Terese Österberg
- Anita Kvist
- Anna Korhonen
- Marlene Gädda
- Anita Wikberg
- Marie Hjortell
Teacher in charge
Anita Wikberg
Groups
-
UBM21D-VBarnmorska (YH), h21, dagstudier, Vasa
-
UHV21D-VHälsovårdare (YH), h20, dagstudier, Vasa
Objective
Student:
- can produce a degree project that is to be based on healthy or sick individuals and / or groups' needs or problems, alternatively evidence-based care or teaching in health care for individuals and small groups at care facilities or in the community
- can reflect on how evidence-based knowledge can be applied in care work and suggest implications for care practice
- can act as an opponent for another degree project
- can account for the most important content of the degree project in a maturity test, as well as demonstrate the ability to express oneself in writing
Content
The research process
Presentation of degree project and opposition
Maturity test
Location and time
Spring 2024, presentation in May or in week 47.
Vaasa
Materials
According to the topic of Thesis
Teaching methods
Independent work with support from the supervisor.
Seminar + maturity test.
Employer connections
The thesis can be ordered, then an agreement is needed
The data material can be collected from different health care or other organisations if ethical permissions are approved.
Exam schedules
Presentation and maturity test in May or in week 47, see Moodle and time schedule.
International connections
-
Completion alternatives
Validation according to Novia general instructions.
Student workload
Students plan their time use themselves, see below
Content scheduling
154 hours mostly self-directed work, 6 hours seminar 2 hours maturity test.
Further information
See practical guide and Moodle course.
Follow Novia instructions for thesis writing.
AI=Artificial intelligence is not allowed in the thesis = RED according to Novias instuctions
Evaluation scale
H-5
Assessment methods and criteria
Thesis is assessed according to 5 criteria, scientific writing, theoretical framework, method, result and presentation. Each criteria ha a scale from 1 to 5. The assessment criteria is published on the Moodle page linked to this implementation plan.
Qualifications
VÅV21EX02