Learning outcome

After completing the course, the students should have the following qualifications regarding knowledge, skills and general competence:

• general knowledge of key concepts in basic mathematics
• perform calculations within basic probability calculus
• general knowledge of key concepts in basic statistics
• understand and perform basic statistical analyses using the programs Excel and R
• be able to understand and present results from basic statistical analyses

Course Description

Central topics are:

• Calculating from one unit of measurement to another
• Calculating proportions
• Basic probability theory
• Measurement, sampling, and data processing concepts
• Presentation of data
• Measuring means and variability
• Normal distribution
• Confidence intervals
• Hypothesis testing
• Analysis of frequencies
• Measurement of correlations
• Comparing averages
• Use of Excel and R

Teaching and Learning Methods

Teaching consists of lectures as well as exercises on the PC.

Assessment Methods

Grades will be given on a final examination (5 hours), which will count for 100 %.

Minor adjustments may occur during the academic year, subject to the decision of the Dean