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Graduate courses

Departments' graduate courses for PhD-students.

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Syllabus for

Academic year
LKT325 - Mathematical statistics  
Matematisk statistik
 
Syllabus adopted 2019-02-07 by Head of Programme (or corresponding)
Owner: TIKEL
7,5 Credits
Grading: TH - Five, Four, Three, Fail
Education cycle: First-cycle
Major subject: Mathematics
Department: 11 - MATHEMATICAL SCIENCES


Teaching language: Swedish
Application code: 64117
Open for exchange students: No
Maximum participants: 35
Only students with the course round in the programme plan

Module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0104 Examination 7,5c Grading: TH   7,5c   14 Jan 2020 am L,  02 May 2020 pm DIST   27 Aug 2020 am L

In programs

TIKEL CHEMICAL ENGINEERING, Year 2 (compulsory)

Examiner:

Johan Tykesson

  Go to Course Homepage


Eligibility:

In order to be eligible for a first cycle course the applicant needs to fulfil the general and specific entry requirements of the programme(s) that has the course included in the study programme.

Course specific prerequisites

Courses in Calculus and Linear Algebra

Aim

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.

Content

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.

Organisation

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

Literature

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.


Published: Wed 26 Feb 2020.