Selected statistical methods with applications
The course contains 2-4 (depending on the course occasion) selected statistical areas/themes which are determined before each course occasion. The areas/themes have normally not been dealt with during previous courses (or only to a limited extent). The course is intended to broadening the students' knowledge in statistics, provide good examples of current statistical method and give inspiration for subjects for the bachelor thesis.
Examples of areas/themes that could be included in the course are missing data, survival analysis, text analysis, bayesian methods and introduction to machine learning. Other themes can also be included in the course.
For each area/theme, the course relates theory to practice by alternating theoretical lectures, practical exercises and programming. A central element is the students' independent work with a number of problems (case studies), which are presented in both written and oral presentations.
The course is given at day time, half time.
Teaching Format
The teaching forms consist of lectures and exercises.
Course information
Course description ht-26 pdf, 188.5 kB. (205 Kb)
Course coordinator fall 2026
You will find the reception hours in the link above. If you want to visit the teacher outside of his reception hours, you are welcome to e-mail him for an appointment.
Assessment
Examination will be in the form of written assignments and oral presentations.
- Schedule ST3201 Autumn semester 2025 Day-time 50%
- Schedule ST3201 Autumn semester 2025 Day-time 50%
- Schedule ST3201 Spring semester 2026 Day-time 50%
- Schedule ST3201 Spring semester 2026 Day-time 50%
- Schedule ST3201 Autumn semester 2026 Day-time 50%
- Schedule ST3201 Spring semester 2027 Day-time 50%
- Schedule ST3201 Spring semester 2027 Day-time 50%
