Course syllabus for Mathematical statistics

Course syllabus adopted 2024-02-13 by Head of Programme (or corresponding).

Overview

  • Swedish nameMatematisk statistik
  • CodeMVE540
  • Credits3 Credits
  • OwnerTKATK
  • Education cycleFirst-cycle
  • Main field of studyArchitecture and Engineering
  • DepartmentMATHEMATICAL SCIENCES
  • GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail

Course round 1

  • Teaching language Swedish
  • Application code 46120
  • Open for exchange studentsNo
  • Only students with the course round in the programme overview.

Credit distribution

0117 Written and oral assignments 3 c
Grading: TH
0 c0 c0 c3 c0 c0 c

In programmes

Examiner

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.