Course syllabus

Design of Experiments

FMS072, 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.
Elective Compulsory for: W3
Elective for: BME4, D4, E4, F4, F4-bm, MLIV1, MWIR2, N4, Pi4-biek
Language of instruction: The course will be given in English on demand


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


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
Assessment: Written exam, written project report and compulsory computer exercises.

Code: 0116. Name: Examination.
Credits: 5. Grading scale: TH. Assessment: Written exam
Code: 0216. Name: Projekt Work.
Credits: 2. Grading scale: UG. Assessment: Written project report
Code: 0316. Name: Laboratory Work.
Credits: 0,5. Grading scale: UG. Assessment: Computor exercises


Admission requirements:

Required prior knowledge: Basic mathematical statistics and programming experience.
The number of participants is limited to: No
The course overlaps following course/s: MASC05

Reading list

Contact and other information

Director of studies: Studierektor Anna Lindgren,
Course homepage:
Further information: The course is also given at the Faculty of Science with the code MASC05.