Basic Mathematical Statistics
Matematisk statistik kallas ibland ”slumpens matematik” och kunskaper inom området är viktigt för en ingenjör. I sannolikhetsläran får du en överblick över de vanligaste matematiska beskrivningarna för slumpmässiga förlopp, medan du i statistisk inferens möter några vanliga statistiska metoder för analys av insamlade data, t.ex. t-test och regressionsanalys.
Vid praktiskt arbete med data är det viktigt att kunna välja en lämplig metod för ett givet problem, och att kunna utvärdera resultatet från en metod och dra rimliga slutsatser. I kursen arbetar du i datorövningar med frågeställningar kring data och tillämpar mot slutet dina kunskaper i ett eget litet projekt, baserat på problemställningar inom energisystem.
Course evaluation
The course evaluation is now closed
MS0065-10210 - Course evaluation report
Once the evaluation is closed, the course coordinator and student representative have 1 month to draft their comments. The comments will be published in the evaluation report.
Additional course evaluations for MS0065
Academic year 2020/2021
Basic Mathematical Statistics (MS0065-10238)
2020-08-31 - 2020-10-25
Academic year 2019/2020
Basic Mathematical Statistics (MS0065-10185)
2019-09-02 - 2019-11-03
Academic year 2018/2019
Basic Mathematical Statistics (MS0065-10104)
2018-09-03 - 2018-10-28
Academic year 2017/2018
Basic Mathematical Statistics (MS0065-10019)
2017-08-28 - 2017-10-29
Academic year 2016/2017
Basic Mathematical Statistics (MS0065-10037)
2016-08-29 - 2016-10-23
Academic year 2015/2016
Basic Mathematical Statistics (MS0065-10254)
2015-08-31 - 2015-11-01
Academic year 2014/2015
Basic Mathematical Statistics (MS0065-10100)
2014-09-01 - 2014-11-09
Syllabus and other information
Syllabus
MS0065 Basic Mathematical Statistics, 5.0 Credits
Grundläggande matematisk statistikSubjects
Mathematical StatisticsEducation cycle
Bachelor’s levelModules
| Title | Credits | Code |
|---|---|---|
| Theory | 4.0 | 0202 |
| Project | 1.0 | 0203 |
Advanced study in the main field
First cycle, has less than 60 credits in first-cycle course/s as entry requirementsBachelor’s level (G1F)
Grading scale
The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.
Language
SwedishPrior knowledge
The equivalent of 20 credits in mathematics.Objectives
The aim of the course is to give an introduction to probability theory and statistical concepts and to provide applied examples. After the course the student should be able to
• apply basic probability concepts and statistical principles
• formulate a given problem in statistical terms
• describe the most common statistical methods including the conditions under which they can be applied.
• choose a suitable statistical method for a given problem
• carry out a statistical analysis from the chosen method
• interpret and evaluate results correctly and draw reasonable conclusions
• use statistical software
• carry out a statistical group project independently
Content
The course is built on lectures, computer exercises and a small statistical project. Exercises are related to the field of energy, among others.
The main moments are as follows: Descriptive statistics: Measures of mean and variation, different diagrams. Probability theory: Sample space, probability laws, random variables, probability distributions. Inference: Point estimation, confidence intervals, hypothesis testing, non-parametric methods. Regression and correlation. Practical statistical computing.
Grading form
The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.Formats and requirements for examination
Passed written and oral exercise. Passed written examination.
- If a student has failed an examination, the examiner has the right to issue supplementary assignments. This applies if it is possible and there are grounds to do so.
- The examiner can provide an adapted assessment to students entitled to study support for students with disabilities following a decision by the university. Examiners may also issue an adapted examination or provide an alternative way for the students to take the exam.
- If this syllabus is withdrawn, SLU may introduce transitional provisions for examining students admitted based on this syllabus and who have not yet passed the course.
- For the examination of a degree project (independent project), the examiner may also allow the student to add supplemental information after the deadline for submission. Read more in the Education Planning and Administration Handbook.
Other information
The right to participate in teaching and/or supervision only applies for the course instance the student was admitted to and registered on.
If there are special reasons, students are entitled to participate in components with compulsory attendance when the course is given again. Read more in the Education Planning and Administration Handbook.
Responsible department
Department of Energy and Technology
Litterature list
- Stokastik för ingenjörer (2 uppl). Författare: Jesper Rydén. [Stokastik för ingenjörer (2 uppl).] (https://www.studentlitteratur.se/kurslitteratur/matematik-och-statistik/matematisk-statistik/stokastik-for-ingenjorer/)