Syllabus for |
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| LMA521 - Statistics with applications |
| Tillämpad matematisk statistik |
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| Syllabus adopted 2019-02-14 by Head of Programme (or corresponding) |
| Owner: TIEPL |
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7,5 Credits
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| Grading: TH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail |
| Education cycle: First-cycle |
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Major subject: Mathematics
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Department: 11 - MATHEMATICAL SCIENCES
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Course round 1
Teaching language: Swedish
Application code: 68123
Open for exchange students: No
| Module |
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Credit distribution |
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Examination dates |
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Sp1 |
Sp2 |
Sp3 |
Sp4 |
Summer course |
No Sp |
| 0103 |
Examination |
7,5 c |
Grading: TH |
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7,5 c
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12 Jan 2021 am L 
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09 Apr 2021 am L, |
26 Aug 2021 pm L |
In programs
TIDSL PRODUCT DESIGN ENGINEERING, Year 3 (elective)
TIEPL INDUSTRIAL MANAGEMENT AND PRODUCTION ENGINEERING, Year 2 (compulsory)
TIDAL COMPUTER ENGINEERING - Common branch of study, Year 3 (compulsory elective)
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 |
7,5 c |
Grading: TH |
|
|
7,5 c
|
|
|
|
|
|
|
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.