Syllabus for |
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MVE090 - Mathematical statistics
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| Matematisk statistik |
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| Syllabus adopted 2019-02-14 by Head of Programme (or corresponding) |
| Owner: TKAUT |
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7,5 Credits
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| Grading: TH - Five, Four, Three, Fail |
| Education cycle: First-cycle |
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Major subject: Mathematics
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Department: 11 - MATHEMATICAL SCIENCES
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Teaching language: Swedish
Application code: 47114
Open for exchange students: No
Only students with the course round in the programme plan
| 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 |
| 0106 |
Examination |
6,0 c |
Grading: TH |
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|
|
|
6,0 c
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05 Jun 2020 pm J, |
11 Oct 2019 am M
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28 Aug 2020 am J |
| 0206 |
Project |
1,5 c |
Grading: UG |
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1,5 c
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|
|
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In programs
TKAUT AUTOMATION AND MECHATRONICS ENGINEERING, Year 3 (compulsory)
Examiner:
Patrik Albin
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
Analysis in one and several dimensions.
Aim
To provide basic ideas of probability and statistics, and common tools
and techniques for applications. Special emphasis is on models and
methods used in Automation and Mechatronics Engineering.
Learning outcomes (after completion of the course the student should be able to)
understand how random variations in data influence conclusions and
decisions, and be able to use and apply the most common models and
methods of statistics in their careers in engineering.
Content
Basic probability theory, random variables and their distributions,
basic Monte Carlo methods, statistical inference, reliability theory
and queuing theory.
Organisation
Lectures and tutorials.
Literature
Announced elsewhere.
Examination including compulsory elements
Passed construction exercises.
Written examination.