MVE540 Matematisk statistik

MVE540 Matematisk statistik

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VLE site

Introductory lecture handouts

Introduction

This page includes information about aim and learning outcomes, teachers, literature, examination, examination procedures and course evaluation. The program for all teaching sessions can be found on a separate Detailed program page.

Aim and learning outcomes

The course MVE540, Mathematical Statistics gives an introduction to probability and statistical theory as well as to modern computational statistical methods provided by MATLAB software package. Make sure you have MATLAB installed on your working computer. It is freely available to you as a Chalmers student through the Chalmers student web place. The aim of the course is to give students basic techniques to analyze and present data and account for variability. It assumes a general mathematical knowledge, no other prerequisites are assumed.

The teaching of the course is based on the Virtual Learning Environment system (VLE).

Mathematical Sciences department's Stats VLE is a web-based system providing students with all the necessary tools to learn basic Probability and Statistics and practice problem solving on your own. It contains a variety of computer-generated questions covering the course curriculum as well as all the necessary supporting materials: statistical tables, hints, demos, etc. One may re-run the question-solution cycle as many times as felt necessary to deepen understanding of Statistics and to practice the techniques. It is complemented by the Study Guide with all the necessary theory which is directly accessible from within the VLE. 

The student's work on the VLE is supported by the theory survey lectures and assisted computer labs. How to get started with the VLE will be explained  here.

Changes compared to the last occasion

Teaching is brought to offline normal campus delivery.

Teachers

Examiner: Sergei Zuyev

Lecturer: Sergei Zuyev

Teaching assistants and Lab supervisors: 

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Course literature

Also recommended:

  •  Kerstin Vännman and Adam Jonsson. Matematisk
            statistik, Studentlitteratur, 2020. ISBN 978-93-44-13324-9
  • Ulla Dahlbom. Matematisk statistik.HB Matematiklitteratur i Göteborg, 2003. ISBN 91-974428-0-1

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Examination

The course has the total of 3 LADOK credits. The grade for the course is based on the results of the examination on Wednesday 4th of May 2022 taken within the VLE environment. In order to pass the course, the examination mark should be at least 40%.

The student's grade for the course is U, 3,4 or 5, if the mark is, respectively, in the range 39% or less, 40-59%, 60-79% or 80% or more.

The resit examination is planned for August 2022, details will follow.

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Examination procedures

The exam consists of the same type of questions used in the VLE studies. You do not need to register centrally for the exam, but to book yourself via VLE during the registration.  You will be provided an access link to the exam when it starts. Matlab and the course Study Guide will be available during the exam.

At the exam, you should be able to show valid identification.

After the exam has been graded, you can see your results in Ladok.

 Any complaints about the marking must be first submitted by email to the examiner.

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Course evaluation

At the beginning of the course, at least two student representatives should have been appointed to carry out the course evaluation together with the teachers. The evaluation takes place through conversations between teachers and student representatives during the course and at a meeting after the end of the course when the survey result is discussed and a report is written. 

Guidelines for Course evaluation (Links to an external site.) in Chalmers student portal.

Student representatives

TKATK                ellie.bystrom@gmail.com       Ellie Byström

TKATK                wojowojtas2012@gmail.com Wojciech Chrystowski

TKATK                dahlgren.rebecka@gmail.com Rebecka Dahlgren

TKATK                roro-rania@hotmail.com        Rania Kobeissi

TKATK                levi@sunesson.com                  Levi Sunesson

 

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Program

The program can be found on the Detailed program page.