Syllabus for Selected Topics in Mathematical Statistics

Fördjupningskurs i matematisk statistik

  • 5 credits
  • Course code: 1MS011
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Mathematics A1N

    Explanation of codes

    The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:

    First cycle

    • G1N: has only upper-secondary level entry requirements
    • G1F: has less than 60 credits in first-cycle course/s as entry requirements
    • G1E: contains specially designed degree project for Higher Education Diploma
    • G2F: has at least 60 credits in first-cycle course/s as entry requirements
    • G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
    • GXX: in-depth level of the course cannot be classified

    Second cycle

    • A1N: has only first-cycle course/s as entry requirements
    • A1F: has second-cycle course/s as entry requirements
    • A1E: contains degree project for Master of Arts/Master of Science (60 credits)
    • A2E: contains degree project for Master of Arts/Master of Science (120 credits)
    • AXX: in-depth level of the course cannot be classified

  • Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
  • Established: 2007-03-15
  • Established by:
  • Revised: 2018-08-30
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: Spring 2019
  • Entry requirements: 120 credits and Mathematical Statistics. Proficiency in English equivalent to the Swedish upper secondary course English 6.
  • Responsible department: Department of Mathematics

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.

Reading list

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