Course syllabus

Matematisk statistik
Mathematical Statistics

FMS086, 7,5 credits, G2 (First Cycle)

Valid for: 2016/17
Decided by: Education Board B
Date of Decision: 2016-03-28

General Information

Main field: Technology.
Compulsory for: B3, BME3, K3, N3
Language of instruction: The course will be given in Swedish


The course is intended to give the student the basics in mathematical modelling of random variation and an understanding of the principles behind statistical analysis. It shall also give the students a toolbox containing the most commonly used models and methods, as well as the ability to use these in practical situations. The emphasis lies on models and methods for analysis of experimental data and measurement errors.

The course fills two purposes, providing a fundamental knowledge of mathematical statistics, as well as giving a foundation for further studies.

The fundamental knowledge is essential to those who, in their professional lives, will not necessarily be involved in statistical analyses on a daily basis, but who, on occasion, will be expected to perform basic statistical tests and present the results to their colleagues. They will also be expected to be able to read and assess the analyses of others.

The course shall also give a basis for further studies, particularly in design of experiments and methods for multidimensional data (Chemometrics).

Learning outcomes

Knowledge and understanding
For a passing grade the student must

Competences and skills
For a passing grade the student must

Judgement and approach
For a passing grade the student must


The basis in probability theory and inference, confidence intervals, statistical methods such as design of experiments and regression analysis. Applications: measurement value analysis, different types of errors and their propagation; comparisons of means and variations; concepts and methods for quality control, estimations of proportions; regression analysis, calibration; factorial designs, optimization of experimental parameters, response surfaces. Applications in chemical and biotechnical engineering are of particular interest.

Examination details

Grading scale: TH
Assessment: Written exam, computer exercises, project report and computational ability test.

Code: 0115. Name: Examination.
Credits: 5,5. Grading scale: TH. Assessment: Written exam
Code: 0215. Name: Project Work.
Credits: 1. Grading scale: UG. Assessment: Written project report.
Code: 0315. Name: Laboratory Work.
Credits: 0,5. Grading scale: UG. Assessment: Computer exercises
Code: 0415. Name: Computational Ability Test.
Credits: 0,5. Grading scale: UG. Assessment: Computer based test


Admission requirements:

Required prior knowledge: Calculus in one variable.
The number of participants is limited to: No
The course overlaps following course/s: FMS012, FMSF01, KKK065, MAS217, MASB02, FMS032, FMS033, FMS035, FMS085, FMS140, FMS601, FMSF20

Reading list

Contact and other information

Director of studies: Studierektor Anna Lindgren,
Course homepage:
Further information: The laboratory work consists of computer exercises. The course is also given for chemists at the faculty of science with the code MASB02.