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
Pass with distinction (5), Pass with credit (4), Pass (3), Fail (U)
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.

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