Content, progress and pedagogy of the module

Learning objectives

Knowledge

• Understand methodological approaches and tools for studying organizations and supply and value chains
• Understand and explain of the key methodological trade-offs between different scientific methods when studying organisations and supply and value chains
• Understand the key approaches to increase the quality of data collection
• Describe different methods to analyse both quantitative and qualitative data
• Explain statistical methods and technologies for structuring and analyzing large datasets – including analytical approaches for handling “Big-Data”

Skills

• Identify and apply appropriate research methods necessary for analyzing and improving global business processes.
• Evaluate different strategies and approaches for data collection and analysis.
• Use statistical methods for data analysis

Competences

• Select and operationalise appropriate quantitative and qualitative approaches to data collection and analysis
• Collect reliable and valid data.

Type of instruction

The teaching is organized in accordance with the general form of teaching. Please see the programme cirruculum §17.

Extent and expected workload

Since it is a 5 ECTS course module the expected workload is 150 hours for the student.

Exam

Exams