Syllabus for Selected Topics in Mathematical Statistics

Fördjupningskurs i matematisk statistik

A revised version of the syllabus is available.

  • 5 credits
  • Course 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)
  • Established: 2007-03-15
  • Established by: The Faculty Board of Science and Technology
  • Revised: 2007-11-06
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: Autumn 2008
  • Entry requirements: 120 credit points and Mathematical Statistics
  • Responsible department: Department of Mathematics

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.


    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.


    Lectures and seminars.


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

  • Syllabus Revisions

    Reading list

    The reading list is missing. For further information, please contact the responsible department.

    Last modified: 2022-04-26