MVE540 Matematisk statistik
Quick links
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 (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 is explained here.
Teachers
Examiner: Sergei Zuyev
Lecturer: Sergei Zuyev
Teaching assistants and Lab supervisors:
- David Lund dlund@chalmers.se
Course literature
- Statistics Study Guide (available from within the VLE)
- Engelsk-svensk matematisk ordlista.
Also recommended:
- Kerstin Vännman and Adam Jonsson. Matematisk
statistik, Studentlitteratur, 2020. ISBN 978-93-44-13324-9
Examination
The course has the total of 3 LADOK credits. The grade for the course is based on the results of the examination on Thursday 2nd of May 2024 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% and above.
The resit examination will be on Monday 26th of August 2-4pm in SB-D080 lab.
The second resit examination will be held on Monday 26th of August from 13:00 to 15:00 (to 16:00 if you are entitled to an extra time) in SB-D080 lab.
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.
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 axel.fr.andersson@gmail.com Axel Andersson
TKATK alva.fjellaker@gmail.com Alva Fjellåker
TKATK astrid.hansson3@gmail.com Astrid Hansson
TKATK johanssonliiiinnea@gmail.com Linnéa Johansson
TKATK dimitrirampotas@gmail.com Dimitri Rampotas
Minutes of Staff-Student Representatives meeting
held on 15th of April 2024
Program
The program can be found on the Detailed program page.