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:
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:
- 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
- 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
120 credits and Mathematical Statistics. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Responsible department: Department of Mathematics
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.
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.
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.
Applies from: Autumn 2022
Some titles may be available electronically through the University library.
Literature is determined individually for each student after consultation with the teacher