Business Research and Development Methods II (5cr)
Code: LY00BJ57-3012
General information
- Enrollment
- 01.08.2024 - 31.12.2024
- Registration for the implementation has ended.
- Timing
- 01.03.2025 - 30.05.2025
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- KAMK Master School
- Teaching languages
- English
- Degree programmes
- Master's Degree in International Business Management
Realization has 8 reservations. Total duration of reservations is 17 h 0 min.
| Time | Topic | Location |
|---|---|---|
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Tue 04.02.2025 time 16:00 - 18:15 (2 h 15 min) |
Quantitative_Business Research and Development Methods II LY00BJ57-3012 |
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Tue 11.02.2025 time 16:00 - 18:15 (2 h 15 min) |
Quantitative_Business Research and Development Methods II LY00BJ57-3012 |
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Tue 18.02.2025 time 16:00 - 18:00 (2 h 0 min) |
Quantitative_Business Research and Development Methods II LY00BJ57-3012 |
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Tue 25.02.2025 time 16:00 - 18:15 (2 h 15 min) |
Qualitative_Business Research and Development Methods II LY00BJ57-3012 |
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Tue 11.03.2025 time 16:00 - 18:15 (2 h 15 min) |
Quantitative (guidance session)_Business Research and Development Methods II LY00BJ57-3012 |
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Tue 18.03.2025 time 16:00 - 18:00 (2 h 0 min) |
Qualitative_Business Research and Development Methods II LY00BJ57-3012 |
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Tue 01.04.2025 time 16:00 - 18:00 (2 h 0 min) |
Qualitative_Business Research and Development Methods II LY00BJ57-3012 |
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Tue 15.04.2025 time 16:00 - 18:00 (2 h 0 min) |
Qualitative_Business Research and Development Methods II LY00BJ57-3012 |
Teams
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Evaluation scale
0 - 5
Objective
Student will learn the methods how to use, handle, analyze and interpret both qualitative and quantitative data. She/he will learn how to combine qualitative and quantitative data, i.e. use mixed methods/triangulation.
Execution methods
Lectures and online lectures
Accomplishment methods
Lectures
Online lectures
Active participating
Group discussions
Course assigment
Content
Qualitative data analyses
Quantitative data analyses
Materials
To be announced later
Assessment criteria, approved/failed
Pass
Student knows the requirements of quantitative and qualitative data analyses and can apply different analysis methods in his/her research process. Students is able to collect and analyse both qualitative and quantitative data and further interpret the results in a critical way.