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Graduate courses

Departments' graduate courses for PhD-students.

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Syllabus for

Academic year
MVE495 - Mathematical statistics
Matematisk statistik
 
Syllabus adopted 2021-02-26 by Head of Programme (or corresponding)
Owner: TKSAM
3,0 Credits
Grading: TH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail
Education cycle: First-cycle
Main field of study: Mathematics
Department: 11 - MATHEMATICAL SCIENCES


Teaching language: English
Application code: 58126
Open for exchange students: No
Only students with the course round in the programme plan

Module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0116 Written and oral assignments 3,0 c Grading: TH   3,0 c    

In programs

TKSAM CIVIL ENGINEERING, Year 2 (compulsory)
TISAM CIVIL AND ENVIRONMENTAL ENGINEERING, Year 2 (compulsory)

Examiner:

Sergey Zuyev

  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.

Aim

The aim of the course is give the students basic techniques to analyze and present data and account for variability.

Learning outcomes (after completion of the course the student should be able to)

After course completion, the student should be able to:
- present the data giving graphical and numeric summaries
- analyse the main probability models
- analyze and quantify dependence between measurements
- apply such methods in practice

Content

The course covers the following topics:

- samples, their graphical presentation and numeric summaries
- basics of probability, random variables and their characteristics
- point and interval estimates of the sample distributional characteristics
- bivariate data: correlation and regression

Organisation

The teaching is organised around a web-based Virtual Learning Environment (VLE) and a statistical project complemented by consultations and assisted computer labs. Students will learn to master statistical computation on Matlab package. It's previous knowledge would be a big helper.

Literature

The manual linked in the VLE provides the necessary and sufficient source of information. As an additional reading, the following book is recommended:

Douglas C. Montgomery and George C. Runger. Applied Statistics and Probability for Engineers, Wiley, 2007.

Examination including compulsory elements

Examination will be held within the VLE with a similar to the usual working VLE interface and consists of the same kind of questions as in the practice. 

The course examiner may assess individual students in other ways than what is stated above if there are special reasons for doing so, for example if a student has a decision from Chalmers on educational support due to disability.


Page manager Published: Thu 04 Feb 2021.