Syllabus for Mathematical Statistics KF
Matematisk statistik KF
A revised version of the syllabus is available.
Syllabus
- 5 credits
- Course code: 1MS029
- Education cycle: First cycle
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Main field(s) of study and in-depth level:
Mathematics G1F
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: 2011-03-10
- Established by: The Faculty Board of Science and Technology
- Revised: 2013-04-29
- Revised by: The Faculty Board of Science and Technology
- Applies from: Spring 2013
- Entry requirements:
- Responsible department: Department of Mathematics
Syllabus Revisions
- Latest syllabus (applies from Autumn 2022)
- Previous syllabus (applies from Autumn 2020)
- Previous syllabus (applies from Autumn 2019)
- Previous syllabus (applies from Spring 2013)
- Previous syllabus (applies from Autumn 2011)
Reading list
Reading list
Applies from: Spring 2013
Some titles may be available electronically through the University library.
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Alm, Sven Erick;
Britton, Tom
Stokastik : Sannolikhetsteori och statistikteori med tillämpningar
Liber, 2008
Mandatory