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Graduate courses

Departments' graduate courses for PhD-students.


Course syllabus for

Academic year
LKT325 - Mathematical statistics  
Matematisk statistik
Course syllabus adopted 2022-02-17 by Head of Programme (or corresponding)
Owner: TIKEL
7,5 Credits
Grading: TH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail
Education cycle: First-cycle
Main field of study: Mathematics

Teaching language: Swedish
Application code: 64133
Open for exchange students: No
Maximum participants: 35
Only students with the course round in the programme overview
Status, available places (updated regularly): Yes

Module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0104 Examination 7,5 c Grading: TH   7,5 c   10 Jan 2023 am L,  05 Apr 2023 am L,  24 Aug 2023 pm L

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Ottmar Cronie

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General entry requirements for bachelor's level (first cycle)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Specific entry requirements

The same as for the programme that owns the course.
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Course specific prerequisites

Courses in Calculus and Linear Algebra


The course intends to give the students knowledge in basic probability theory and statistical inference. This knowledge is essential for the understanding of the statistical methods and tests used in technical and natural sciences.

Learning outcomes (after completion of the course the student should be able to)

- understand how different situations are influenced by chance,
- calculate risks,
- draw conclusions from surveys,
- plan experiments using factorial and fractional factorial designs.


Descriptive statistics, elementary probability, dependent and independent events, discrete and continuous distributions, expectation, variance, the central limit theorem (without proof), interval estimation. Hypotheses tests, the power of tests, analysis of variance. Experimental designs, factorial designs, fractional factorial designs, blocking, randomisation.


The course consists of 28 lectures and 7 exercises are included and one obligatory laboratory work.


See the course web page

Examination including compulsory elements

To pass the course the student must pass both a thesis and some computer laboratory works. The maximum point on the thesis is always 50. To pass the thesis one needs to get at least 20p. To get class 3 the student needs at least 20 p, for class 4 30p and for class 5 40p.

The course examiner may assess individual students in other ways than what is stated above if there are special reasons for doing so, for example if a student has a decision from Chalmers on educational support due to disability.

Page manager Published: Thu 04 Feb 2021.