Tutkimus- ja kehittämistyön menetelmät (5cr)
Code: YA00CK14-3004
General information
- Enrollment
- 01.09.2026 - 18.10.2026
- Registration for introductions has not started yet.
- Timing
- 19.10.2026 - 21.03.2027
- The implementation has not yet started.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual portion
- 5 cr
- RDI portion
- 3 cr
- Mode of delivery
- Distance learning
- Unit
- KAMK Master School
- Teaching languages
- Finnish
- Degree programmes
- Master’s Degree in Technology Competence Management
- Master’s Degree in Data Analytics and Leadership
- Master’s degree in Business Information Technology, knowledge work leadership
- Teachers
- Jaana Lappalainen
- Aki Kortelainen
- Groups
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- Course
- YA00CK14
Unfortunately, no reservations were found for the realization Tutkimus- ja kehittämistyön menetelmät YA00CK14-3004. It's possible that the reservations have not yet been published or that the realization is intended to be completed independently.
Evaluation methods and criteria
The course module is graded as pass/fail.
Each of the three sections' tasks is graded on a pass/needs improvement/fail scale.
Evaluation scale
Hylätty/Hyväksytty
Content scheduling
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Objective
The aim of the course is that a student is able to plan, implement and report a working-life research and development project. The specific objective of the course is to prepare students to carry out the final thesis as a work-based research and development project.
Execution methods
Contact online days (distance learning), independent e-learning and exercises and development tasks
Accomplishment methods
Exercises and development tasks passed
Content
- the scientific basis, concepts and purpose of research and development
- research strategies
- use of research data and literature
- qualitative and quantitative research,
- development methods,
- reporting on the research development task - academic writing and
- thesis as a research and development project.
Location and time
The course is held periodically 19.10.2026 - 21.03.2027.
Teams remote lecture days
19.11.2026 8:30 - 16:00
10.12.2026 8:30 - 16:00
21.1.2027 8:30 - 16:00
Materials
To be announced at the beginning of course.
Teaching methods
Pre-readings and assignments
Lectures
Group assignments
Independent study
Three evaluated assignments
Online lectures, independent study, practice and development tasks
Employer connections
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Exam schedules
-
International connections
-
Completion alternatives
-
Student workload
5 credits correspond to 135 hours of student work. Lectures 24 hours, pre-readings and assignments 13 hours, independent study and assessable tasks 98 hours. The above describes the average workload for a student and may therefore vary from student to student.
Assessment criteria, approved/failed
Approved: The student has satisfactorily completed the assessed tasks set for the study module by the deadlines, which develop the student's knowledge and skills in the planning, implementation, and reporting of a research-based development task carried out in working life.
Failed: The student has not satisfactorily completed all the assessed tasks set for the course by the deadlines.
Assessment criteria, approved/failed
Approved: the student has satisfactorily completed the assessed tasks set for the course by the deadlines, which develop the student's knowledge and skills in planning, implementing and reporting on a research and development project in the workplace.
Fail: The student has not successfully completed all the assessed tasks set for the course by the deadlines.
Qualifications
Does not require previous studies on master level.
Further information
The purpose of the course is to provide tools for developing research-based activities in thesis work and professional life.
Instructions for the use of artificial intelligence – including its possibilities and limitations – will be covered in connection with the course assignments (based on Arene's AI recommendations).
Failure to follow the given instructions may result in failing the course. If this concerns only a specific assignment, the student must redo the assignment to receive a passing grade.