Recommended prerequisite for participation in the module

Content, progress and pedagogy of the module

Learning objectives

Knowledge

• Have knowledge of the principles of hypothesis-driven research. 
• Have knowledge of different types of experimental designs and their ethical considerations. 
• Have knowledge about the scientific quality criteria such as internal and external validity, reliability, causality, generalizability and different types of bias. 
• Have knowledge of inclusion and exclusion criteria.
• Have knowledge of methods to test data for normality. 
• Have knowledge of methods for parametric and non-parametric statistical tests. 
• Have knowledge of methods for visualizing discrete and continuous statistical outcomes. 
• Have knowledge of methods to estimate sample size.   

Skills

• Be able to write an experimental protocol, including selection of the experimental design, sample size consideration and inclusion/exclusion criteria.
• Be able to select and apply the appropriate statistical method for a specific hypothesis.
• Be able to generate visualizations of discrete and continuous statistical outcomes.
• Be able to apply dedicated statistical data analysis software. 

Competences

• Be able to reflect on the strength and weaknesses of a specific experimental protocol.  
• Be able to reflect on the applied statistical methods and generate a conclusion. 
• Be able to critically review the conclusions drawn based on an experimental protocol and statistical methods.  

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