Multivariate statistical methos are central to the analysis of complex and large data in a variety of disciplines, such as psychology, sociology, biology, economics, etc. The course covers methods for dimension reduction and classification. The course will also provide the basic skills in linear algebra needed to understand the methods treated. The course will furthermore provide opportunities for the student to gain extensive experience in applying the methods on different kinds of data.
Course structure
The course is given at day time, half time.
Teaching format
The teaching consists of lectures, exercises, and computer exercises.
Students are assessed by examination of the expected learning outcomes. The examination consists of a portfolio of two separate examination parts:
(1) Part I: an individual written (re-)exam with a selection of theoretical problems, and
(2) Part II: an individual home assignment with practical data analysis to be handed in as a written report.
You will find the teacher´s 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.
Schedule
The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.
Course description spring 2025 (222 Kb)
