[Describe the content and form (seminars, lectures, etc) of the course]
The aim of the course is that students develop practical knowledge in the use of statistical
methods and mathematical tools for the design and execution of experimental investigations
and to evaluate and interpret results from such investigations.
Upon completion of the course, the students should be able to
· use descriptive statistics to characterize experimental data.
· use statistical significance tests and regression techniques to evaluate and examine
differences in results between different sets of experimental data.
· plan, execute, evaluate and interpret results from series of experiments based on
factorized experimental designs.
Students with a Bachelor’s or Master’s degrees admitted to the PhD programme in the fields
of Technology or Science.
Classical statistical methods:
Mandatory computer exercises and hand-in assignments.
Orientation about multivariate data analysis techniques:
Mandatory computer exercises.
Design of experiments:
Mandatory computer exercises, written report and seminars with all course participants. Participation in the seminars is