Entry requirements

120 credits and Mathematical Statistics. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Learning outcomes

On completion of the course, the student should be able to:

• have acquired a profound insight into some delimited area of probability theory, statistics, or some applied area of mathematics;
• have been introduced to some area of current mathematical statistical research and be able to independently acquire information about literature and problems in the area;
• be able to prepare and hold a seminar presentation in some area of modern mathematical statistical research.

Content

The contents of the course varies from one instance to another. Examples of themes: Asymptotic statistics, Brownian motion, Extreme value theory, Network and queuing theory, Risk analysis.

Instruction

Lectures and seminars.

Assessment

Assignments during the course. Presentation of a given subject at a seminar.

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.