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Business Research and Development Methods II (5 cr)

Code: LY00BJ57-3011

General information


Enrollment

02.01.2024 - 31.01.2024

Timing

01.02.2024 - 15.05.2024

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Unit

KAMK Master School

Teaching languages

  • English

Degree programmes

  • Master's Degree in Global Business Management

Teachers

  • Aki Kortelainen
  • Outi Lundahl
  • Päivi Karhu

Groups

  • GBMY23S
    GBMY23S
  • 05.02.2024 10:00 - 11:30, Business Research and Development Methods II LY00BJ57-3011
  • 06.02.2024 10:00 - 11:30, Business Research and Development Methods II LY00BJ57-3011
  • 12.02.2024 10:00 - 11:30, Business Research and Development Methods II LY00BJ57-3011
  • 14.02.2024 10:00 - 11:30, Business Research and Development Methods II LY00BJ57-3011
  • 19.02.2024 10:00 - 11:30, Business Research and Development Methods II LY00BJ57-3011
  • 21.02.2024 10:00 - 11:30, Business Research and Development Methods II LY00BJ57-3011
  • 28.02.2024 10:00 - 11:30, Business Research and Development Methods II LY00BJ57-3011
  • 13.03.2024 08:15 - 11:30, Business Research and Development Methods II LY00BJ57-3011
  • 18.03.2024 08:15 - 11:30, Business Research and Development Methods II LY00BJ57-3011
  • 27.03.2024 08:15 - 11:30, Business Research and Development Methods II LY00BJ57-3011
  • 10.04.2024 08:15 - 11:00, Business Research and Development Methods II LY00BJ57-3011
  • 15.04.2024 08:15 - 11:45, Business Research and Development Methods II LY00BJ57-3011

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.

Content

Qualitative data analyses
Quantitative data analyses

Materials

To be announced later

Evaluation scale

0 - 5

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.