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Graduate courses

Departments' graduate courses for PhD-students.

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Syllabus for

Academic year
MVE540 - Mathematical statistics
Matematisk statistik
 
Syllabus adopted 2021-02-26 by Head of Programme (or corresponding)
Owner: TKATK
3,0 Credits
Grading: TH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail
Education cycle: First-cycle
Main field of study: Architecture and Engineering
Department: 11 - MATHEMATICAL SCIENCES


Teaching language: Swedish
Application code: 46129
Open for exchange students: No
Maximum participants: 50
Only students with the course round in the programme plan
Status, available places (updated regularly): Yes

Module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0117 Written and oral assignments 3,0 c Grading: TH   3,0 c    

In programs

TKATK ARCHITECTURE AND 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)

  • present the data giving graphical and numeric summaries
  • test hypotheses about samples
  • analyze and quantify dependence between measurements
  • apply such methods in practice

  • Content

    Sampling, their graphical visualization and numerical summaries
    Basics of probability theory, random variables and their properties
    Point and interval estimates of random distribution parameters
    Hypothesis testing
    Bivariate data: correlation and regression

    Organisation

    Lectures and exercises.

    Literature

    Communicated before the course starts.

    Examination including compulsory elements

    Written exam.

    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.