Selected Topics in Mathematical Statistics

5 credits

Syllabus, Master's level, 1MS011

A revised version of the syllabus is available.

Code: 1MS011
Education cycle: Second cycle
Main field(s) of study and in-depth level: Mathematics A1N
Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
Finalised by: The Faculty Board of Science and Technology, 15 March 2007
Responsible department: Department of Mathematics

Entry requirements

BSc, Mathematical Statistics

Learning outcomes

After completion of the course the student should

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.

Reading list

Reading list valid from Autumn 2022