## MVE495 Mathematical statistics

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 Course PM page.

### Aim and learning outcomes

The course MVE495, Mathematical Statistics, gives an introduction to probability and statistical theory as well as to modern computational statistical methods provided by MATLAB software package. If you use your own computer, make sure you have MATLAB installed. 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 analyse and present data and account for their 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. Please, read the document VLE data import to Matlab in Matlab and VLE section of the VLE's Help which will help you to work smoothly.

Registration to the VLE is now open. Here are instructions on how to get started. The student's work on the VLE is supported by assisted computer labs and drop-in consultation sessions on campus where all questions on the content of the course could be asked and help sought. For deeper understanding of the theory and further topics, The Statistics Study Guide is integrated into VLE and recordings of the lectures from 2021 are also provided.

### Organisation of the study

The introductory lecture is on Monday 28th of August at 15:15-17:00 in SB-H1 auditorium. Handouts of the introductory lecture are available from VLE and here.

The main emphasis of the study is on your personal timely work within the VLE. The labs are not compulsory to attend, they are rather contact hours with the staff where you may and should ask questions on the course. The questions can also be asked and assistance sought during extra drop-in Consultation sessions in Weeks 2 and 3 of the course. Emailing questions on the study to staff is discouraged unless it is an administrative question or, if you think, you found an error in the VLE.

### Changes compared to the last occasion

The formal lectures are now replaced with drop-in consultation sessions

### Teachers

Examiner: Sergei Zuyev

Lecturer: Sergei Zuyev

Teaching assistants and Lab supervisors:

Back to the top

### Course literature:

1. Statistics Study GuideAvailable from within the VLE.

#### Also recommended:

1. Tobin A. Driscoll. Learning MATLAB. Available as e-book from Chalmers library.
2. Kerstin Vännman and Adam Jonsson. Matematisk statistik, Studentlitteratur, 2020. ISBN 978-93-44-13324-9. Available as a Hard copy (Links to an external site.) and a Digital copy
3.  Ulla Dahlbom. Matematisk statistik. HB Matematiklitteratur i Göteborg, 2003.
ISBN 91-974428-0-1

Back to the top

### Examination

The course has the total of 3 LADOK credits. The grade for the course is based on the results of the final examination on Thursday 28th of September 2023. 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%, 80% or more.

The resit examination will be held on Thursday 4th of January from 14:00 to 16:00 (to 17:00 if you are entitled to an extra time) in SB-D042 lab. Come 15 minutes before the start to install comfortably.

Back to the top

### Examination procedures

The exam consists of the same type of questions as in the VLE studies. You do not need to register centrally for the exam, but to book yourself via VLE during the registration. It will be held in a special exam computer environment. Matlab and the Study Guide will be available during the exam but access to external disks, flash media and all the sites other than VLE will be blocked. So you would need to show your knowledge and programming skills from scratch.

At the exam, you should be able to demonstrate a valid ID.

Three days after the exam,  you can see your results in VLE.

Any appeals concerning the obtained result must be submitted by email to the examiner.

Back to the top

### 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

TISAM zabi.akbari22@gmail.com Zabih Akbari
TISAM moaces02@gmail.com Moa Cesar
TKSAM astrideriksson0@gmail.com Astrid Eriksson
TKSAM martin.opperud@telia.com Martin Opperud
TKSAM alex0228@live.com Alex Wojewoda

#### The Minutes of the Staff - Student representatives meeting

The Minutes of the meeting held on 2023-09-07

### Program

The program can be found on the Course PM page.

Back to the top