Course syllabus

Design of Experiments

FMSF65, 7.5 credits, G2 (First Cycle)

Valid for: 2024/25
Faculty: Faculty of Engineering LTH
Decided by: PLED I
Date of Decision: 2024-04-16
Effective: 2024-05-08

General Information

Main field: Technology Depth of study relative to the degree requirements: First cycle, in-depth level of the course cannot be classified
Elective mandatory for: W3
Elective for: BME4, D4, E4, F4, F4-bm, MLIV1, MWIR1, N4, Pi4-biek
Language of instruction: The course will be given in English


This is a basic course in designing experiments and analyzing the resulting data. It is intended for engineers, physical/chemical scientists and scientists from other fields such as biotechnology and biology. The course deals with the types of experiments that are frequently conducted in industrial settings. Its objective is to learn how to plan, design and conduct experiments efficiently and effectively, and analyze the resulting data to obtain objective conclusions. Both design and statistical analysis issues are discussed. Opportunities to use the principles taught in the course arise in all phases of engineering and scientific work, including technology development, new product design and development, process development, and manufacturing process improvement. Applications from various fields of engineering (including chemical, mechanical, electrical, materials science, industrial, etc.) will be illustrated throughout the course.

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


Simple design with fixed and random effects. Simultaneous confidence intervals. Requirements for analysis of variance: transformations, model validation, residual analysis. Factorial design with fixed, random, and mixed effects. Additivity and interaction. Complete and incomplete designs. Randomised block designs, Latin squares and confounding. Regression and analysis of covariance.

Examination details

Grading scale: TH - (U, 3, 4, 5) - (Fail, Three, Four, Five)
Assessment: Written exam, written project report and computer exercises.

The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.

Code: 0124. Name: Examination.
Credits: 4.0. Grading scale: TH - (U, 3, 4, 5). Assessment: Oral exam
Code: 0224. Name: Computer Exercises.
Credits: 3.5. Grading scale: UG - (U, G). Assessment: Computer exercises with written reports.


Admission requirements:

Assumed prior knowledge: Basic mathematical statistics and programming experience.
The number of participants is limited to: No
Kursen överlappar följande kurser: FMS072 MASC05

Reading list


Director of studies: Johan Lindström,
Course administrator: Susann Nordqvist,
Course homepage:

Further information

The course is also given at the Faculty of Science with the code MASC05.