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Graduate courses

Departments' graduate courses for PhD-students.

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Syllabus for

Academic year
LMA521 - Statistics with applications
Tillämpad matematisk statistik
 
Syllabus adopted 2019-02-14 by Head of Programme (or corresponding)
Owner: TIEPL
7,5 Credits
Grading: TH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail
Education cycle: First-cycle
Major subject: Mathematics
Department: 11 - MATHEMATICAL SCIENCES


Course round 1


Teaching language: Swedish
Application code: 68123
Open for exchange students: No

Module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0103 Examination 7,5c Grading: TH   7,5c   12 Jan 2021 am L   09 Apr 2021 am L,  26 Aug 2021 pm L

In programs

TIDAL COMPUTER ENGINEERING - Common branch of study, Year 3 (compulsory elective)
TIDSL PRODUCT DESIGN ENGINEERING, Year 3 (elective)
TIEPL INDUSTRIAL MANAGEMENT AND PRODUCTION ENGINEERING, Year 2 (compulsory)

Examiner:

Johan Tykesson

  Go to Course Homepage


Course round 2

 
Teaching language: Swedish
Application code: 99220
Open for exchange students: No
Maximum participants: 20
Only students with the course round in the programme plan

Module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0103 Examination 7,5c Grading: TH   7,5c    

Examiner:

Johan Tykesson


  Go to Course Homepage


Eligibility

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

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,
- apply control charts; to construct them and draw conclusions about the examined process,
- decide if a production process produces articles that will meet the customer s demand.

Content

Descriptive statistics, elementary probability, dependent and independent events, discrete and continuous distributions, expectation, variance, the central limit theorem (without proof), interval estimation. Experimental designs, factorial designs, fractional factorial designs, blocking, randomisation. Statistical quality control, control charts, acceptance sampling procedures.

Organisation

The course consists of 35 lectures in which 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 one laboratory work. 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 30 p and for class 5 40p.


Page manager Published: Thu 04 Feb 2021.